The analysis of geographically referenced data, specifically point data, is predicated on the
accurate geocoding of those data. Geocoding refers to the process in which geographically …

Objectives To test for statistically significant changes in crime rates across neighbourhoods
in Saskatoon, Canada resulting from social restrictions within the natural experiment of the …

In many cities, high land vacancy has contributed to negative outcomes including visual
blight, loss of sense of community and safety, and high crime rates. Although studies show …

Objectives Crime counts are sensitive to granularity choice. There is an increasing interest in
analyzing crime at very fine granularities, such as street segments, with one of the reasons …

Fine particulate matter (PM2. 5) is a ubiquitous air pollutant that is harmful to human health.
Social vulnerability indices (SVIs) are calculated to determine where vulnerable populations …

Objectives To test for statistically significant change in crime rates across neighbourhoods in
Vancouver, Canada, resulting from social restrictions within the natural experiment of the …

Objectives To explore spatial patterns of crime in a small northern city, and assess the
degree of similarity in these patterns across seasons. Methods Calls for police service …

The LandScriptDeforestMap R package was developed for mapping and measuring
deforestation dynamics using classified satellite images. It can be applied to different land …

Estimation of the spatial heterogeneity in crime incidence across an entire city is an
important step towards reducing crime and increasing our understanding of the physical and …

The neighborhood effect of environment characteristics has been an important topic in social
sciences that are concerned with people's behaviors. However, defining a neighborhood …