Package index
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PointBasedSample() - Generate a sampling grid based off of regularly sampled points across the species range.
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EqualAreaSample() - Create equal area polygons over a geographic range
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OpportunisticSample() - Design additional collections around already existing collections
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KMedoidsBasedSample() - K Medoids Based Sample Site Selection Select a subset of sites that maximize spatial dispersion of sites using k-medioids clustering.
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IBDBasedSample() - Sample a species based on Isolation by Geographic Distance (IBD)
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PolygonBasedSample() - Sample spatial zones within a species range
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EnvironmentalBasedSample() - Create environmental and spatial clusters for targeting collection areas
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PrioritizeSample() - Determine which areas in a sample unit should be prioritized
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buildResistanceSurface() - Create a simple, theoretical, raster surface modelling Isolation by Distance.
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populationResistance() - Identify clusters of populations least separated by landscape resistance
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IBRSurface() - Sample a species based on Isolation by Resistance Distance (IBR)
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elasticSDM() - Create a quick SDM using elastic net regression
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PostProcessSDM() - Modify the output rasters from the SDM process to better match target goals
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RescaleRasters() - Rescale a raster stack to reflect the beta coefficients from a glmnet model
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writeSDMresults() - Save the results of SDMs from the
elasticSDM,RescaleRastersandPostProcessSDMfunction in safeHavens
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rescaleFuture() - Rescale future climate predictors using current model coefficients
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projectClusters() - Project current environmental clusters onto a future climate scenario
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greatCircleDistance() - Haversine Distance Calculation
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split_cols() - split and extract the temperature values from Tmin and AHM columns