Dialectometry applies computational and statistical analyses within dialectology, making
work more easily replicable and understandable. This survey article first reviews the field …

In the past 10 years, the collaborative maps of OpenStreetMap (OSM) have been used to
support humanitarian efforts around the world as well as to fill important data gaps for …

The widespread adoption of electric vehicles (EVs) is crucial for urban sustainability, which
can promote the low carbon transition of urban mobility systems and increase energy …

Precision agriculture aims at sustainably optimizing the management of cultivated fields by
addressing the spatial variability found in crops and their environment. Spatial variability can …

Key features: Unique in its combination of serving as an introduction to spatial statistics and
to modeling agricultural and ecological data using R Provides exercises in each chapter to …

Although there has been a growing interest in causal inference in geography studies, few
studies have incorporated spatiotemporal heterogeneities with causalities. This study …

GIS for Environmental Applications provides a practical introduction to the principles,
methods, techniques and tools in GIS for spatial data management, analysis, modelling and …

Sports and fitness apps on GPS enabled cell phones and smart watches have become a
rich source of GPS tracking data for nonmotorized traffic, including walking, running, and …

This tutorial provides a foundation on geographic information systems (GIS) as they relate to
and are part of the IS body of knowledge. The tutorial serves as a ten-year update on an …

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