Adam B. Smith's Projects
Code from Applied Hierarchical Modeling in Ecology translated to NIMBLE (from JAGS/WinBUGS)
Examples from Kéry & Royle's "Applied Hierarchical Modeling in Ecology (Volume I)" converted to NIMBLE
Download, process, and use WorldClim, TerraClimate, and PRISM climate data
Latest versions of URLs for airUpThere
Curated resources about Data Visualization, Drawing & Publishing in R
A curated list of awesome tools for R package development
:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yours!
Simulate data and fit 2-species occupancy model à la Rota et al. (2016) w/ Jags and Nimble
Tools for geographic analysis
year when a certain warming level was reached in cmip5 and cmip6 data
R package for 2d and 3d color legends
Bayesian implementation inspired in attribution models to disentangle the effect of anthropogenic factors (agriculture, road construction, etc) in the endangered status of rare plants across counties. Analogous to attribution models, conversion (whether a species is endangered or not) cannot be unambiguously attributed to a specific touching-point (county). If a species is endangered, this should be the case in at least one of the counties (but potentially more). The credit that each county receives (probability of a species to be endangered there) depends on the combination of all species, and the variation of distributions of the species make it possible to determine which counties have higher or lower credits towards endangerment on a specific factor.
Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
Documentation of what I'm doing to prepare to delete my Facebook account
Modeling the historical biogeography of an endangered plant, Delphinium exaltatum
What is the cost of discarding imprecisely-located specimens when evaluating species' vulnerability of climate change?
Faster, better, smarter ecological niche modeling and species distribution modeling
Testing methods for measuring variable importance in species distribution models
Creation of scenarios and analysis of results of testing methods for measuring variable importance using species distribution models
Tools for Modeling Niches and Distributions of Species
Faster raster processing in R using GRASS GIS
Forest Fragmentation for Binary and Continuous Forest Cover Rasters
Functions to make it easy to add GPS traces to rstats Rayshader scenes, process DEM data and to overlay ggmap imagery
A biplot based on ggplot2
Material for "Drawing Anything with ggplot2" workshop
analysis code for the paper "Fast and flexible Bayesian species distribution modelling using Gaussian processes"
linked forward/reverse time simulations for TIMBER project; this code is based on a cells rather than arbitrary locations
Lab best practices and policies to conduct open, reproducible, and inspiring science that is efficient and fun