Slums are a global urban challenge, with less developed countries being particularly
impacted. To adequately detect and map them, data is needed on their location, spatial …

Explosive growth in geospatial data and the emergence of new spatial technologies
emphasize the need for automated discovery of spatial knowledge. Spatial data mining is …

In this paper we review recent developments of crowdsourcing geospatial data. While
traditional map** is nearly exclusively coordinated and often also carried out by large …

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

We have access to an unprecedented amount of fine‐grained data on cities, transportation,
economies, and societies, much of these data referenced in geo‐space and time. There is a …

There is long-standing scientific interest in understanding purposeful movement by animals
and humans. Traditionally, collecting data on individual moving entities was difficult and time …

Geographic information science and technologies are revolutionizing basic and applied
science by allowing integrated holistic approaches to the analysis of geographic locations …

Summary Spatial Data Mining is the process of discovering interesting and previously
unknown, but potentially useful patterns from large spatial datasets. Extracting interesting …

In the recent decade, several technology trends have influenced the field of geosciences in
significant ways. The first trend is the more readily available technology of ubiquitous …

Recent developments in miniaturization of computing devices, in location‐sensing
technology and in ubiquitous short‐range wireless networks enable new types of social …