Spatial Data Science introduces fundamental aspects of spatial data that every data scientist
should know before they start working with spatial data. These aspects include how …

In order to prevent and/or forecast road accidents, the statistical modeling of spatial
dependence and potential risk factors is a major asset. The main goal of this article is to …

This thesis develops a new methodology for associating spatial zoning characteristics to
point features. Doing so, it aims to provide an applicable approach that can be used to …