Faster, better, smarter ecological niche modeling and species distribution modeling
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Updated
Jan 3, 2023 - R
Faster, better, smarter ecological niche modeling and species distribution modeling
Detects Outliers and plots genomic clines from BGC output, and extends the plotting functionality of INTROGRESS to Correlate genomic clines and hybrid indices with Environmental Variables
Thesis for GIST master’s at USC-SSCI. Study compares tuned versus default MaxEnt models at two different covariate resolutions (30m and 800m). Various R packages were used in creating and evaluating the models. ArcGIS Pro used for data preparation and presentation.
Supplementary materials: Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study
A set of high level functions to provide easy training and evaluation of Maxent species distribution models.
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