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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the <t>MaxEnt</t> program were edited with <t>the</t> <t>ArcGIS</t> software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa
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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the <t>MaxEnt</t> program were edited with <t>the</t> <t>ArcGIS</t> software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa
Maxent Program, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the <t>MaxEnt</t> program were edited with <t>the</t> <t>ArcGIS</t> software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa
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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the <t>MaxEnt</t> program were edited with <t>the</t> <t>ArcGIS</t> software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa
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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the <t>MaxEnt</t> program were edited with <t>the</t> <t>ArcGIS</t> software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa
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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the <t>MaxEnt</t> program were edited with <t>the</t> <t>ArcGIS</t> software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa
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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the <t>MaxEnt</t> program were edited with <t>the</t> <t>ArcGIS</t> software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa
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Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the MaxEnt program were edited with the ArcGIS software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa

Journal: Brazilian Journal of Microbiology

Article Title: Geographical distribution and ecological niche modeling of the etiological agents of human sporotrichosis in Venezuela

doi: 10.1007/s42770-020-00306-0

Figure Lengend Snippet: Geographical distributions predicted for Sporothrix spp. in Venezuela. The geographical distribution of the Sporothrix species is based on the optimal environmental conditions predicted by the ENM. The images generated as an output by the MaxEnt program were edited with the ArcGIS software suite, version 10.0. Panel a, geographic distribution predicted for S. schenckii. Panel b, geographical distribution predicted for S. globosa

Article Snippet: The images in raster format generated as an output by the MaxEnt program were edited with the help of the ArcGIS software suite, version 10.0 (Environmental Systems Research Institute (ESRI), Redlands, CA, USA) to generate the distribution map for each Sporothrix species (Fig. , panels a and b).

Techniques: Generated, Software