error rates

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 …

Sex-biased dispersal produces high error rates in mitochondrial distance-based and tree-based species delimitation

Species delimitation using mitochondrial sequences aims to identify species as morphological expertise and biodiversity both decline. Species delimitation in animals relies completely or in part on 2 criteria: genetic distance and reciprocal …