Interactive spatial data analysis involves the use of software environments that permit the
visualization, exploration and, perhaps, modelling of geographically-referenced data. Such …

One of the fundamental challenges in crime mapping and analysis is pattern recognition.
Efforts and methods to detect crime hot-spots, or geographic areas of elevated criminal …

This paper aims to develop a model representing cluster perception in the distribution of
point objects. Three spatial factors—that is, proximity, concentration, and density change …

This paper examines individual voter turn-out and its putative relationship with voting
outcomes at the voting precinct level. Via a GIS-based address matching procedure, we …

Spatial epidemiology is the analysis of spatial and space-time distributions of disease data.
Such analysis enables the identification of populations with high relative risks for particular …

Geographic Information Systems (GIS) technology is spreading rapidly, largely due to the
continuing revolution in computer hardware where costs of processing are continuing to …

Spatial data mining seeks to discover meaningful patterns in data where a prime dimension
of interest is geographical location. Consideration of a spatial dimension becomes important …

Geographical Information Systems are powerful instruments to analyse spatial data. Wildlife
researchers and managers are always confronted with spatial data analysis and make use …

Geospatial clustering is an important topic in knowledge discovery research and geospatial
information systems. However, current clustering research emphasizes the development of …

Spatial data mining seeks to discover meaningful patterns from data where a prime
dimension of interest is geographical location. Consideration of a spatial dimension …