quercus

Data for occurrences of Quercus alba and Quercus rubra based on geographic observations. Demonstration analysis of how to use hypervolumes for species distribution modeling using WorldClim data.

Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and negative feature detection. Uses stochastic geometry approach to high-dimensional kernel density estimation. Builds n-dimensional convex hulls (polytopes). Can measure the n-dimensional ecological hypervolume and perform species distribution modeling.

Benjamin Blonder

hypervolume

High-dimensional Kernel Density Estimation and Geometry
        Operations

quercus function

Occurrence data come from the BIEN2 database (http://bien.nceas.ucsb.edu/bien/). Climate data are from WorldClim.

quercus: Data and demo for Quercus (oak) tree distributions

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Examples