Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …

This book has emerged through years of discussions, comments and questions we have
received about building agentbased models and integrating geographical information …

At the core of geographic information science (GIScience) lie enduring organising principles
and concepts that have been developed using research methods that are robust …

This article establishes a new methodological framework for parallelizing spatial data
processing called parallel cartographic modeling, which extends the widely adopted …

An enhanced digital elevation model (DEM) of the Larsemann Hills region, east Antarctica,
is constructed synergistically by using highly accurate ground-based GPS measurements …

596 Environment and Planning B: Urban Analytics and City Science 44 (4) powerful AI and
machine learning techniques to extract meaningful space-time patterns. Despite the …

Abstract Spatial Data Infrastructures (SDIs) are a special category of data hubs that involve
technological and human resources and follow well defined legal and technical procedures …

«Qu'est-ce que la science… pour vous?» Telle est la question posée ici à des scientifiques,
des philosophes, des historiens des sciences, des médiateurs et amateurs de sciences …

GeoComputation is an important component of the body of knowledge within Geographic
Information Science and Technology. The US University Consortium for Geographic …

In computer science, dependence analysis determines whether or not it is safe to parallelize
statements in programs. In dealing with the data-intensive and computationally intensive …