About MosquitoMap Data

The LandScanTM Dataset comprises a worldwide population database compiled on a 30" X 30" latitude/longitude grid. Census counts (at sub-national level) were apportioned to each grid cell based on likelihood coefficients, which are based on proximity to roads, slope, land cover, nighttime lights, and other information. LandScan has been developed as part of the Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk. Available at http://www.ornl.gov/sci/landscan/index.html.

GADM
Global Administrative Areas (version 0.9). Available at http://biogeo.berkeley.edu/gadm/.

Populated Places
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

Water Bodies
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

Streams: non-perennial and perennial
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

Built-up areas
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

1-m sea level rise
David Braaten, Nathaniel Haas, Xingong Li, RJ Rowley, Kalonie Hulbutta, John Kostelnick, Joshua Meisel. Sea level rise maps. The Centers for the Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas and Haskell Indian Nations University.
Potentially inundated areas were computed based on elevation and proximity to the current ocean shoreline. First, the algorithm flags all raster cells in the DEM that lie adjacent to the contiguous ocean. Second, cells within that group of flagged cells whose elevation value is less than or equal to the 1-m sea level rise increment are selected and reassigned as ocean cells. Since the initial pass floods only those cells that are directly adjacent to the current ocean, the two-step procedure is repeated until all cells connected with cells adjacent to the ocean are inundated. A large, flat coastal plain whose elevation is one meter above current sea level, for instance, would be inundated after the algorithm has completed several iterations, or until there are no more raster cells of a specific elevation that are adjacent to the current sea level. Available at: https://www.cresis.ku.edu/data/sea-level-rise-maps?quicktabs_3=2#quicktabs-3
Contact: cresis_data@cresis.ku.edu

Total Species
Foley, D.H., Rueda, L.M. and Wilkerson, R.C. (2007). Insight into global mosquito biogeography from country species records. J. Med. Entomol. 44 (4): 554-567. Figure 4A.
Total species per country based on entries in the Systematic Catalog of the Culicidae ( http://www.mosquitocatalog.org/).

foleydes@si.edu

Download ESRI Grid files for Total species (196KB)

Endemic Species
Foley, D.H., Rueda, L.M. and Wilkerson, R.C. (2007). Insight into global mosquito biogeography from country species records. J. Med. Entomol. 44 (4): 554-567. Figure 4B.
Endemic species (those that were recorded in the database from only one country) per country based on entries in the Systematic Catalog of the Culicidae (http://www.mosquitocatalog.org/).
Contact: foleydes@si.edu
Download ESRI Grid files for Endemic species (182KB)

Species richness (Bioclim)
Foley, D.H., Weitzman, A.L., Miller, S.E., Faran, M.E., Rueda, L.M. and Wilkerson, R.C. (2008). The value of georeferenced collection records for predicting patterns of mosquito species richness and endemism in the Neotropics. Ecol. Entomol. 33: 12–23. Figure 7.
Potential species richness for South and Central America was estimated by summing the incidence (presence/absence) of 496 species for each 1-degree grid cell as determined by the bioclim distribution model (in DIVA-GIS). The bioclim models were implemented using the worldclim 2.5 arc minute resolution database of 19 bioclimatic variables, that is, annual mean temperature, mean monthly temperature range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the coldest month, annual temperature range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the coldest quarter, mean temperature of the warmest quarter, annual precipitation, wettest month precipitation, driest month precipitation, precipitation seasonality, wettest quarter mean precipitation, driest quarter mean precipitation, coldest quarter mean precipitation, warmest quarter mean precipitation. All areas that are within the climate envelope described by the data, cut off beyond the 0.025 percentile, were mapped as true (1) or false (0).
Contact: foleydes@si.edu
Download ASCII file for species richness (South America) (454KB)

Holotypes
Locations of mosquito Holotypes, georeferenced according to information in http://www.mosquitocatalog.org/ and http://manisnet.org/GeorefGuide.html

Uncertainty (m)
Spatial uncertainty in meters of collection locations, calculated using the point radius method (see http://manisnet.org/GeorefGuide.html)

Return to top...

Pathogen

Japanese encephalitis
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1 – 35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

Dengue
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1 – 35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

Rift Valley Fever
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1 – 35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

Return to top...

Rift Valley Fever (GEIS)
Areas indicated are those within an RVF endemic region or in areas where RVF virus has previously been identified
DoD-GEIS & NASA/GSFC Project leader: Asaph Anyamba
from the DoD-GEISWeb RVF page http://www.geis.fhp.osd.mil/GEIS/SurveillanceActivities/RVFWeb/indexRVF.asp
asaph.anyamba-1@nasa.gov

Yellow Fever
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1 – 35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

Spatial limits and endemic levels of Plasmodium falciparum in 2005.
Hypoendemic, Mesoendemic and Hyper-holoendemic
Several sources of information on malaria risk (notably international travel health guidelines on malaria chemoprophylaxis, altitude limits for dominant vectors, climate limits for malaria transmission and human population density thresholds) have been combined in a GIS to generate this map. See Guerra et al. (2006) Advances in Parasitology 62: 157 – 179 and Guerra et al. (2006) Trends in Parasitology 22: 353 – 358 for details.
The method for defining the endemic levels within these limits can be found in Snow et al. (2005) Nature 434: 214 – 217.
This map layer was digitized from an image file that was available from the Malaria Atlas Project http://www.map.ox.ac.uk/index.htm, and is provided here only as a guide. Errors of translation and geopositioning may have occurred, particularly in coastal areas, that were not present on the original image.

Spatial limits and endemic levels of Plasmodium vivax in 2005.
Several sources of information on malaria risk (notably international travel health guidelines on malaria chemoprophylaxis, altitude limits for dominant vectors, climate limits for malaria transmission and human population density thresholds) have been combined in a GIS to generate this map. See Guerra et al. (2006) Advances in Parasitology 62: 157 – 179 and Guerra et al. (2006) Trends in Parasitology 22: 353 – 358 for details.
The method for defining the endemic levels within these limits can be found in Snow et al. (2005) Nature 434: 214 – 217.
This map layer was digitized from an image file that was available from the Malaria Atlas Project http://www.map.ox.ac.uk/index.htm, and is provided here only as a guide. Errors of translation and geopositioning may have occurred, particularly in coastal areas, that were not present on the original image.

Spatial limits and endemic levels of Plasmodium falciparum in 2007.
Stable (where PfAPI greater than or equal to 0.1 per thousand pa) and Unstable (where PfAPI < 0.1 per thousand pa)
Uses nationally reported case-incidence data, medical intelligence, and biological rules of transmission exclusion, using temperature and aridity limits informed by the bionomics of dominant Anopheles vector species. See Guerra C.A., Gikandi P.W., Tatem A.J., Noor A.M., Smith D.L., Hay S.I., Snow R.W. (2008). The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide. PLoS Med, 5(2):e38, and the Malaria Atlas Project http://www.map.ox.ac.uk/index.htm for details.

Spatial limits and endemic levels of Plasmodium vivax in 2007.
Uses nationally reported case-incidence data, medical intelligence, and biological rules of transmission exclusion, using temperature and aridity limits informed by the bionomics of dominant Anopheles vector species. See Guerra C.A., Gikandi P.W., Tatem A.J., Noor A.M., Smith D.L., Hay S.I., Snow R.W. (2008). The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide. PLoS Med, 5(2):e38, and the Malaria Atlas Project http://www.map.ox.ac.uk/index.htm for details.

Plasmodium falciparum prevalence in children 2-9 years (Tanzania).
Estimated Pf risk at 30 metre resolution [resampled to 1km resolution] from regression analysis of community-based measures of prevalence with altitude and area of vector habitat within 1.5km radius of grid cells. Source: Kulkarni M.A., Desrochers R.E., Kerr J.T. (2010). High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396. See http://www.plosone.org/article/info:doi/10.1371/journal.pone.0009396 for details.
Download 1km resampled ESRI Grid files for Pf prevalence in 2-9 year olds for Tanzania (356KB). Users of this model should cite the article above.

Plasmodium falciparum highest annual incidence (Lao PDR).
Interpolated (IDW - fixed search radius of 10 km - power of 2) highest annual incidence rates (per 1000 population) of P. falciparum based on data from 3,876 villages and 685 health centres (2006- 2008). To quantify malaria risk, P. falciparum incidence zones were created using the following classification: 1) 0 case per 1,000 per annum; 2) >0-1 case per 1,000 per annum; 3) >1-10 cases per 1,000 per annum; 4) >10-100 cases per 1,000 per annum; 5) >100-1,000 cases per 1,000 per annum; and 6) unknown (villages where data was not collected and an estimated value could not be produced because the village fell outside the 10 km prediction area).
Data source: Center for Malariology, Parasitology and Entomology, Ministry of Health, Lao People's Democratic Republic.
See Jorgensen P., Nambanya S., Gopinath D., Hongvanthong B., Luangphengsouk K., Bell D., Phompida S., Phetsouvanh R. (2010). High heterogeneity in Plasmodium falciparum risk illustrates the need for detailed mapping to guide resource allocation: a new malaria risk map of the Lao People’s Democratic Republic. Malaria Journal 9:59 http://www.malariajournal.com/content/9/1/59.

Plasmodium falciparum, Bangladesh (child prevalence)
Plasmodium falciparum upper 75% predicted prevalence in children 2-10 years (Bangladesh). Bayesian geostatistical logistic regression models with environmental covariates (vegetation cover, minimum temperature, and elevation) were used to predict P. falciparum prevalence for 2- to 10-year-old children across the endemic areas of Bangladesh in 2007. The predicted upper 75% Pf risk is shown here at 0.005 degree resolution. Model validation statistics revealed that the final Bayesian geostatistical model had good predictive ability, and that 3.1 million people were estimated to be living in areas with a Pf PR 2–10 greater than 1%.
Source: Heidi Reid, Ubydul Haque, Archie C. A. Clements, Andrew J. Tatem, Andrew Vallely, Syed Masud Ahmed, Akramul Islam, and Rashidul Haque (2010). Mapping Malaria Risk in Bangladesh Using Bayesian Geostatistical Models Am. J. Trop. Med. Hyg., 83(4), 2010, pp. 861–867.
See http://www.ajtmh.org/cgi/content/abstract/83/4/861 for details.

Plasmodium vivax, Turkey (frequency 2006-8)
"We developed seven 5-year-period raster maps by using geo-referenced malaria case data from the centres of 81 provinces and the kriging method with a spherical variogram model in a geographic information systems (GIS) model. We determined incidence values for provinces by using the incidence = (frequency/population) formula in order to take into account the influence of the population density on the results, and computed average incidence values for each province. We also modelled malaria incidence in GIS by using our average malaria incidence raster map, and complementary spatial database including the raster map layers of 14 environmental variables. We chose linear regression analysis with backward method to investigate relationships among variables and develop a model. The model was run in GIS to obtain a model incidence raster map. We tested the reliability of the model map by residual statistics, and found the model map dependable."
Source: Figure 3G. Dogan HM, et al. (2010). Spatiotemporal change and ecological modeling of malaria in Turkey by means of geographic information systems. Trans. R. Soc. Trop. Med. Hyg., 104:726-732. doi:10.1016/j.trstmh.2010.08.003.
See http://www.ncbi.nlm.nih.gov/pubmed/20888613 for details.

Return to top...

Vector

Anopheles_minimus_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-03-28
InformationWithheld: No data
SpatialResolution: 0.04degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: 0.05 omission
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 73
EnvironmentalLayers: 59 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Rueda, L.M., Peterson, A.T. and Wilkerson, R.C. (2008). Potential distribution of two species in the medically important Anopheles minimus complex (Diptera: Culicidae). J. Med. Entomol. 45(5): 852-860.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_minimus_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel: An_minimus_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. minimus (161KB)

Return to top...

Anopheles_harrisoni_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-03-28
InformationWithheld: No data
SpatialResolution: 0.04degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: 0.05 omission
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 42
EnvironmentalLayers: 59 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Rueda, L.M., Peterson, A.T. and Wilkerson, R.C. (2008). Potential distribution of two species in the medically important Anopheles minimus complex (Diptera: Culicidae). J. Med. Entomol. 45(5): 852-860.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_harrisoni_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_harrisoni_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. harrisoni (161KB)

Return to top...

Anopheles_sinensis_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 80
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_sinensis_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel: An_sinensis_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. sinensis (282KB)

Return to top...

Anopheles_ kleini_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
NumberUniquePoints: 32
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_kleini_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_kleini_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. kleini (282KB)

Return to top...

Anopheles_pullus_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
NumberUniquePoints: 33
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_pullus_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_pullus_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. pullus (282KB)

Return to top...

Anopheles_belenrae_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 36
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_belenrae_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_belenrae_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. belenrae (282KB)

Return to top...

Anopheles_lindesayi_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 9
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_lindesayi_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_lindesayi_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. lindesayi (282KB)

Return to top...

Anopheles_koreicus_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 9
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_koreicus_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_koreicus_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. koreicus (282KB)

Return to top...

Anopheles_lesteri_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 12
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_lesteri_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_lesteri_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. lesteri (282KB)

Return to top...

Anopheles_sineroides_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH, Wilkerson RC
SubmitterEmail: foleydes@si.edu and wilkersonr@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2008-10-28
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
LayerClasses: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 20
EnvironmentalLayers: 86 layers reduced to 15 by PCA
RelatedInformation: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_sineroides_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_sineroides_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. sineroides (282KB)

Return to top...

Culex-tritaeniorhynchus_Masuoka_1
SubmitterOrganization: Uniformed Services University of the Health Sciences
SubmitterWebSite: http://www.usuhs.mil/
SubmitterPerson: Masuoka, Penny and Grieco, John
SubmitterEmail: pmasuoka@usuhs.mil and jgrieco@usuhs.mil
SubmitterAddress: USUHS, Dept of Preventive Medicine and Biometrics, 4301 Jones Bridge Road, MD 20814 USA
DateLastModified: 2009-12-22
InformationWithheld: No data
SpatialResolution: 0.0083degrees
ModelDescription: Maxent model version 3.219 (Phillips 2006)
LayerClasses: na
Threshold: na
Value range: 0.00002 to 0.98 (Value of each pixel represents the probability of species occurrence in that pixel)
NumberUniquePoints: 96
EnvironmentalLayers: 51 layers: Boston University’s Land Cover derived from MODIS, sum of cropland pixels in 5x5 pixel area, WorldClim monthly precipitation, WorldClim monthly minimum temperature, WorldClim monthly maximum temperature, SPOT mean monthly NDVI, SRTM elevation
RelatedInformation: Masuoka PM, Klein TA, Kim HC, Claborn DM, Achee N, Andre R, Chamberlin J, Small J, Anyamba A, Lee DK, Yi SH, Sardelis M, Ju YR, Grieco J. Modeling the distribution of Culex tritaeniorhynchus to Predict Japanese Encephalitis Distribution in the Republic of Korea. International Journal of Health Geographics (submitted).
InstitutionCode: USUHS
CollectionCode: MosquitoModel
CatalogNumber: Cx_tritaeniorhynchus_Masuoka_1
GlobalUniqueIdentifier: USUHS:MosquitoModel:Cx_tritaeniorhynchus_Masuoka_1
Projection/datum: GCS WGS84
Download ESRI files for Cx_tritaeniorhynchus (1166KB)

Return to top...

Anopheles_quadrimaculatus_Benedict_1
SubmitterOrganization: No data
SubmitterWebSite: No data
SubmitterPerson: Benedict, Q. Mark
SubmitterEmail: M.Benedict@iaea.org
SubmitterAddress: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
DateLastModified: 2003-11-10
InformationWithheld: No data
SpatialResolution: 0.1degrees
ModelDescription: Desktop GARP
LayerClasses: 10
Threshold: na
Value range: na
NumberUniquePoints: 155
EnvironmentalLayers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
RelatedInformation: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
InstitutionCode: MMap
CollectionCode: MosquitoModel
CatalogNumber: An_quadrimaculatus_Benedict_1
GlobalUniqueIdentifier: MMap:MosquitoModel:An_quadrimaculatus_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_quadrimaculatus_1 (640KB)

Return to top...

Anopheles-maverlius_Benedict_1
SubmitterOrganization: No data
SubmitterWebSite: No data
SubmitterPerson: Benedict, Q. Mark
SubmitterEmail: M.Benedict@iaea.org
SubmitterAddress: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
DateLastModified: 2003-11-10
InformationWithheld: No data
SpatialResolution: 0.1degrees
ModelDescription: Desktop GARP
LayerClasses: 10
Threshold: na
Value range: na
NumberUniquePoints: 32
EnvironmentalLayers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
RelatedInformation: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
InstitutionCode: MMap
CollectionCode: MosquitoModel
CatalogNumber: An_maverlius_Benedict_1
GlobalUniqueIdentifier: MMap:MosquitoModel:An_maverlius_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_maverlius_1 (640KB)

Return to top...

Anopheles-smaragdinus_Benedict_1
SubmitterOrganization: No data
SubmitterWebSite: No data
SubmitterPerson: Benedict, Q. Mark
SubmitterEmail: M.Benedict@iaea.org
SubmitterAddress: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
DateLastModified: 2003-11-10
InformationWithheld: No data
SpatialResolution: 0.1degrees
ModelDescription: Desktop GARP
LayerClasses: 10
Threshold: na
Value range: na
NumberUniquePoints: 44
EnvironmentalLayers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
RelatedInformation: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
InstitutionCode: MMap
CollectionCode: MosquitoModel
CatalogNumber: An_smaragdinus_Benedict_1
GlobalUniqueIdentifier: MMap:MosquitoModel:An_smaragdinus_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_smaragdinus_1 (640KB)

Return to top...

Anopheles-diluvialis_Benedict_1
SubmitterOrganization: No data
SubmitterWebSite: No data
SubmitterPerson: Benedict, Q. Mark
SubmitterEmail: M.Benedict@iaea.org
SubmitterAddress: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
DateLastModified: 2003-11-10
InformationWithheld: No data
SpatialResolution: 0.1degrees
ModelDescription: Desktop GARP
LayerClasses: 10
Threshold: na
Value range: na
NumberUniquePoints: No data
EnvironmentalLayers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
RelatedInformation: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
InstitutionCode: MMap
CollectionCode: MosquitoModel
CatalogNumber: An_diluvialis_Benedict_1
GlobalUniqueIdentifier: MMap:MosquitoModel:An_diluvialis_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_diluvialis_1 (640KB)

Return to top...

Anopheles_inundatus_Benedict_1
SubmitterOrganization: No data
SubmitterWebSite: No data
SubmitterPerson: Benedict, Q. Mark
SubmitterEmail: M.Benedict@iaea.org
SubmitterAddress: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
DateLastModified: 2003-11-10
InformationWithheld: No data
SpatialResolution: 0.1degrees
ModelDescription: Desktop GARP
LayerClasses: 10
Threshold: na
Value range: na
NumberUniquePoints: No data
EnvironmentalLayers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
RelatedInformation: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
InstitutionCode: MMap
CollectionCode: MosquitoModel
CatalogNumber: An_inundatus_Benedict_1
GlobalUniqueIdentifier: MMap:MosquitoModel:An_inundatus_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_inundatus_1 (640KB)

Return to top...

Anopheles_arabiensis_Kulkarni_1
SubmitterOrganization: University of Ottawa, Canadian Facility for Ecoinformatics Research (CFER)
SubmitterWebSite: No data
SubmitterPerson: Kulkarni, MA
SubmitterEmail: manisha.kulkarniwoodstock@gmail.com
SubmitterAddress: Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa K1N6N5, Canada
DateLastModified: 2009-11-20
InformationWithheld: No data
SpatialResolution: 30 metres (resampled to 1 km)
ModelDescription: Maximum Entropy (Maxent)
LayerClasses: 2
Threshold: average predicted suitability of training records from ten model replicates
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 20
EnvironmentalLayers: precipitation seasonality, max temperature of warmest month, land cover, human population density, precipitation of warmest month, temperature annual range, temperature seasonality, precipitation of coldest month, altitude
RelatedInformation: Kulkarni MA, Desrochers RE and Kerr JT (2010) High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396
InstitutionCode: UO
CollectionCode: MosquitoModel
CatalogNumber: An_arabiensis_Kulkarni_1
GlobalUniqueIdentifier: UO:MosquitoModel:An_arabiensis_Kulkarni_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An_arabiensis_1 (25KB)

Return to top...

Anopheles_funestus_Kulkarni_1
SubmitterOrganization: University of Ottawa, Canadian Facility for Ecoinformatics Research (CFER)
SubmitterWebSite: No data
SubmitterPerson: Kulkarni, MA
SubmitterEmail: manisha.kulkarniwoodstock@gmail.com
SubmitterAddress: Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa K1N6N5, Canada
DateLastModified: 2009-11-20
InformationWithheld: No data
SpatialResolution: 30 metres (resampled to 1 km)
ModelDescription: Maximum Entropy (Maxent)
LayerClasses: 2
Threshold: average predicted suitability of training records from ten model replicates
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 10
EnvironmentalLayers: precipitation seasonality, max temperature of warmest month, land cover, human population density, temperature seasonality, altitude
RelatedInformation: Kulkarni MA, Desrochers RE and Kerr JT (2010) High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396
InstitutionCode: UO
CollectionCode: MosquitoModel
CatalogNumber: An_funestus_Kulkarni_1
GlobalUniqueIdentifier: UO:MosquitoModel:An_funestus_Kulkarni_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An_funestus_1 (19KB)

Return to top...

Anopheles_gambiae_Kulkarni_1
SubmitterOrganization: University of Ottawa, Canadian Facility for Ecoinformatics Research (CFER)
SubmitterWebSite: No data
SubmitterPerson: Kulkarni, MA
SubmitterEmail: manisha.kulkarniwoodstock@gmail.com
SubmitterAddress: Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa K1N6N5, Canada
DateLastModified: 2009-11-20
InformationWithheld: No data
SpatialResolution: 30 metres (resampled to 1 km)
ModelDescription: Maximum Entropy (Maxent)
LayerClasses: 2
Threshold: average predicted suitability of training records from ten model replicates
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 10
EnvironmentalLayers: precipitation of coldest quarter, land cover, altitude, max temperature of coldest month, annual precipitation, mean temperature of warmest quarter, max temperature of warmest month, precipitation of driest quarter, precipitation of warmest quarter, human population density
RelatedInformation: Kulkarni MA, Desrochers RE and Kerr JT (2010) High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396
InstitutionCode: UO
CollectionCode: MosquitoModel
CatalogNumber: An_gambiae_Kulkarni_1
GlobalUniqueIdentifier: UO:MosquitoModel:An_gambiae_Kulkarni_1
Projection/datum: GCS WGS84
Download ESRI image files for An_gambiae_1 (10KB)

Return to top...

Anopheles aconitus_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 93 for training, 31 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_aconitus_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_aconitus_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_aconitus_1 (43KB)

Return to top...

Anopheles annularis_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 105 for training, 34 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_annularis_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_annularis_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_annularis_1 (40KB))

Return to top...

Anopheles barbirostris s.l._Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 90 for training, 29 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_barbirostris_sl_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_barbirostris_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_barbirostris_sl_1 (48KB)

Return to top...

Anopheles culicifacies_sl_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 72 for training, 23 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_culicifacies_sl_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_culicifacies_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_culicifacies_sl_1 (66KB))

Return to top...

Anopheles dirus_sl_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 126 for training, 42 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_dirus_sl_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_dirus_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_dirus_sl_1 (76KB)

Return to top...

Anopheles flavirostris_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 17 for training, 5 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_flavirostris_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_flavirostris_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_flavirostris_1 (18KB)

Return to top...

Anopheles fluviatilis_sl_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 33 for training, 10 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_fluviatilis_sl_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_fluviatilis_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_fluviatilis_sl_1 (39KB)

Return to top...

Anopheles lesteri_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 16 for training, 5 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_lesteri_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_lesteri_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_lesteri_1 (20KB)

Return to top...

Anopheles maculatus_sl_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 111 for training, 37 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_maculatus_sl_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_maculatus_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_maculatus_sl_1 (42KB)

Return to top...

Anopheles sinensis_Foley_2
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 204 for training, 67 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_sinensis_Foley_2
GlobalUniqueIdentifier: USNM:MosquitoModel:An_sinensis_Foley_2
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_sinensis_2 (105KB)

Return to top...

Anopheles subpictus_sl_Foley_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2010-09-21
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ModelDescription: Maxent 3.2.1 (Phillips 2006)
LayerClasses: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
NumberUniquePoints: 65 for training, 21 for testing
EnvironmentalLayers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
RelatedInformation: To reduce spatial autocorrelation, only points more than 20 km apart were used
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_subpictus_sl_Foley_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_subpictus_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_subpictus_sl_1 (50KB)

Return to top...

Aedes aegypti_Nyari_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Nyari A, Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2011-07-27
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ExtentTop: 84.6619996391
ExtentLeft: -180.008879813
ExtentRight: 182.158076587
ExtentBottom: -58.2547813609
ModelDescription: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
LayerClasses: Continuous
Threshold: minimum training presence
Value range: 109, 997 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
NumberUniquePoints: 107 for training, 35 for testing
Environmental layers used (all continuous): bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_2 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1
RelatedInformation: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 15 layers used. Models were run with 11 BioClim variables (1,2,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: Ae_aegypti_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_aegypti_Nyari_1
Projection/datum: GCS WGS84
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Aedes lineatopennis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_lineatopennis_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Aedes polynesiensis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_polynesiensis_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Aedes vexans_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_vexans_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles claviger_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_claviger_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles messeae_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_messeae_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex bitaeniorhynchus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_bitaeniorhynchus_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex quinquefasciatus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_quinquefasciatus_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex tritaeniorhynchus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_tritaeniorhynchus_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Aedes africanus_Nyari_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Nyari A, Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2011-07-27
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ExtentTop: 37.827269672656
ExtentLeft: -25.835856153125
ExtentRight: 59.955879146875
ExtentBottom: -37.464457227344
ModelDescription: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
LayerClasses: Continuous
Threshold: minimum training presence
Value range: 109, 997 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
NumberUniquePoints: 53 for training, 17 for testing
EnvironmentalLayers: bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_2 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1 hwsd)
RelatedInformation: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: Ae_africanus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_africanus_Nyari_1
Projection/datum: GCS WGS84
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Aedes luteocephalus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_luteocephalus_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Aedes simpsoni_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_simpsoni_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles arabiensis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_arabiensis_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles gambiae s.l._Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_gambiae_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles hancocki_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_hancocki_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles hargreavesi_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_hargreavesi_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles coustani_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_coustani_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles melas_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_melas_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles merus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_merus_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles moucheti_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_moucheti_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles quadriannulatus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_quadriannulatus_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex poicilipes_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_poicilipes_Nyari_1
For details see Aedes africanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Aedes albopictus_Nyari_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Nyari A, Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2011-07-27
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ExtentTop: 64.166521047439
ExtentLeft: 60.619383261112
ExtentRight: 165.952800861112
ExtentBottom: -18.833545352561
ModelDescription: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
LayerClasses: Continuous
Threshold: minimum training presence
Value range: 109, 997 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
NumberUniquePoints: 109 for training, 36 for testing
EnvironmentalLayers: bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_2 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1 hwsd)
RelatedInformation: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: Ae_albopictus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_albopictus_Nyari_1
Projection/datum: GCS WGS84
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_aconitus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_aconitus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_baimaii_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_baimaii_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_barbirostris_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_barbirostris_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_belenrae_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_belenrae_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_campestris_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_campestris_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_culicifacies_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_culicifacies_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_dirus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_dirus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_karwari_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_karwari_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_kleini_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_kleini_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_koreicus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_koreicus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_lesteri_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_lesteri_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_maculatus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_maculatus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_minimus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_minimus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_nigerrimus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_nigerrimus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_nivipes_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_nivipes_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_peditaeniatus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_peditaeniatus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_philippinensis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_philippinensis_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_pullus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_pullus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_sinensis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_sinensis_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_sineroides_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_sineroides_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_subpictus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_subpictus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_sundaicus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_sundaicus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_tessellatus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_tessellatus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_vagus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_vagus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_varuna_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_varuna_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex_ fuscocephala_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_fuscocephala_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex_gelidus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_gelidus_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex_pseudovishnui_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_pseudovishnui_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex_vishnui_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Cx_vishnui_Nyari_1
For details see Aedes albopictus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_albimanus_Nyari_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Nyari A, Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2011-07-27
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ExtentTop: 32.833405543424
ExtentLeft: -116.37982585915
ExtentRight: -33.29642605915
ExtentBottom: -57.291666556576
ModelDescription: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
LayerClasses: Continuous
Threshold: minimum training presence
Value range: 46, 999 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
NumberUniquePoints: 198 for training, 65 for testing
Environmental layers used (all continuous): bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_flowacc h_slope h_topoind
RelatedInformation: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: An_albimanus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_albimanus_Nyari_1
Projection/datum: GCS WGS84
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_albitarsis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_albitarsis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_aquasalis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_aquasalis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_argyritarsis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_argyritarsis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_braziliensis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_braziliensis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_crucians_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_crucians_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_darlingi_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_darlingi_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_neivai_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_neivai_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_nuneztovari_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_nuneztovari_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_oswaldoi_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_oswaldoi_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_pseudopunctipennis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_pseudopunctipennis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Anopheles_punctimacula_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_punctimacula_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_triannulatus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_triannulatus_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Anopheles_vestitipennis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:An_vestitipennis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Haemagogus_janthinomys_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Hg_janthinomys_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Haemagogus_leucocelaenus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Hg_leucocelaenus_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Sabethes_chloropterus_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Sa_chloropterus_Nyari_1
For details see Anopheles_albimanus_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Return to top...

Aedes_palpalis_Nyari_1
SubmitterOrganization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
SubmitterWebSite: http://www.wrbu.org/
SubmitterPerson: Nyari A, Foley DH
SubmitterEmail: foleydes@si.edu
SubmitterAddress: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
DateLastModified: 2011-07-27
InformationWithheld: No data
SpatialResolution: 0.04167degrees
ExtentTop: 19.64637878125
ExtentLeft: 91.511433885938
ExtentRight: 183.594840885938
ExtentBottom: -51.85367841875
ModelDescription: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
LayerClasses: Continuous
Threshold: minimum training presence
Value range: 83, 991 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
NumberUniquePoints: 33 for training, 11 for testing
Environmental layers used (all continuous): bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1
RelatedInformation: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
InstitutionCode: USNM
CollectionCode: MosquitoModel
CatalogNumber: Ae_palpalis_Nyari_1
GlobalUniqueIdentifier: USNM:MosquitoModel:Ae_palpalis_Nyari_1
Projection/datum: GCS WGS84
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)