Forest ecosystems in the Sierra Nevada Mountains of California are greatly influenced by
wildfire as a natural disturbance, and increased fire severity and drought occurrence may …

Eigenvector spatial filtering (ESF) is becoming a popular way to address spatial
dependence. Recently, a random effects specification of ESF (RE-ESF) is receiving …

Spatial and spatiotemporal analyses are exceedingly relevant to determine criminogenic
factors. The estimation of Poisson and negative binomial models (NBM) is complicated by …

Analysis of land-use changes requires considering spatial effects that becomes challenging
in a discrete choice framework. Ignoring the spatial effects will lead to inconsistent …

This research describes a simple, abstract model to simulate gentrification from both supply
and demand side perspectives. Three theories—rent gap theory, filtering theory and …