This review takes stock of recent advances, as well as enduring and emerging challenges,
in the area of spatial criminology. Although the notions of place and space are …

Ensemble learning method is a collaborative decision-making mechanism that implements
to aggregate the predictions of learned classifiers in order to produce new instances. Early …

Crime and perception of safety are two intertwined concepts affecting the quality of life and
the economic development of a society. However, few studies have quantitatively examined …

Geographically weighted regression (GWR) extends the familiar regression framework by
estimating a set of parameters for any number of locations within a study area, rather than …

Assessing the effect of street built environment on crime occurrence is a hot research subject
in environmental criminology, which also plays an important role in crime prevention or even …

In recent years, station-level ridership forecasting models have been developed based on
Geographic Information Systems (GIS) and multiple regression analysis. These models …

As an important regulator of pollutants in overland flow and interflow, land use has become
an essential research component for determining the relationships between surface water …

Objectives We illustrate how a machine learning algorithm, Random Forests, can provide
accurate long-term predictions of crime at micro places relative to other popular techniques …

This article contributes to advancing the knowledge on the phenomenon of the most popular
short‐term rental platforms, Airbnb. By implementing a geographically weighted regression …

Crime opportunities are neither uniformly nor randomly organized in space and time. As a
result, crime mappers can unlock these spatial patterns and strive for a better theoretical …