spatial autocorrelation

Spatial autocorrelation reduces model precision and predictive power in deforestation analyses

Generalized linear models are often used to identify covariates of landscape processes and to model land‐use change. Generalized linear models however, overlook the spatial component of land‐use data, and its effects on statistical inference. Spatial …

Forests and Drugs: Coca-Driven Deforestation in Tropical Biodiversity Hotspots

Identifying drivers of deforestation in tropical biodiversity hotspots is critical to assess threats to particular ecosystems and species and proactively plan for conservation. We analyzed land cover change between 2002 and 2007 in the northern …