R you interested in species distribution models?

If you always wanted to do species distribution modelling, it’s your lucky day. Let Robert Hijmans and Jane Elith take you by the hand.

This document provides an introduction to species distribution modeling with R. Species distribution modeling (SDM) is also known under other names including climate envelope-modeling, habitat modeling, and (environmental or ecological) niche-modeling. The aim of SDM is to estimate the similarity of the conditions at any site to the conditions at the locations of known occurrence (and perhaps of non-occurrence) of a phenomenon. A common application of this method is to predict species ranges with climate data as predictors.

Nibbles: Apple diversity, Nutrition, Cali crops, Sourdough 101, Orphans, Nomenclature, Wheat genome, CWR Week, Replanting

Brainfood: Ecology of domestication, Citizen soybeans, Silkworm domestication, Barley spread, Indigenous management, Maize domestication, Temperate maize, Nutrient yields, Amazon history double, Women & diets, Online classification, Charred breadcrumbs, Wheat drought

Brainfood: Tunisian millet, Range expansion model, Ancient soils, Shocking maize, Ancient Chinese ag, Top questions, Maize subgenomes, Rapid breeding, Non-seed systems, Ag origins, Landscape services, Rice breeders, Using forests

Brainfood: Italian hotspots, Spanish apples, ICRISAT proso, Scattered trees, Underutilized Malaysian fruit, Saudi chickens, AnGR, Double dates, European threatened plants, Pepper origins, Intensification outcomes, Breeding & diversity, Cold storage, African rice