This tutorial is designed to walk the user through some basic features of the `mop` package (Cobos, _et al_. 2024a), a suite of tools designed to extend the Mobility-Oriented Parity (MOP) metric (Owens, _et al_. 2013). MOP is a method for estimating dissimilarity between environmental datasets when projecting a niche model to novel environments outside those used to train the model (examples: assessing risk of spread of invasive species, estimating changes in available suitable habitat under climate change). When niche models are projected, generally some form of statistical extrapolation is done. This may lead to additional uncertainty in model projections, which should be strongly considered when interpreting model projection results. MOP was originally proposed as an alternative to the Multivariate Environmental Similarity Surface (MESS) metric (Elith, _et al_. 2010).

I recently released an update to voluModel on CRAN. We’re now up to version 0.2.2. Some of the stuff is pretty boring but necessary (fixing broken URLs, removing a few last vestiges of the sf package, RIP). What I want to highlight is a new function that plots a vertical transect across a 3D raster map.

Written for R for Ecologists Bachelors' course, UCPH

rgdal and raster have been retired. This is an update of a GIS in R lab tutorial I rewrote using terra instead to get folks started with the transition.

Presentation for GLOBE Institute R working group, Fall 2021

Presented to KU GLOBE R Working Group

Thresholding, niche characterization, extent of predicted area, and extracting descriptive statistics

Clipping to mask, saving as an ascii file, and determining Pearson correlation values for pairs of data layers.

This tutorial briefly shows some steps for cleaning locality data in R. This is not designed to completely replace cleaning in GIS, but some simpler cleaning functions that can be automated are discussed.

A walk-through of some basic GIS functions that can be accomplished efficiently in R.