The past decade has witnessed the rapid development of geospatial artificial intelligence
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …

Water features (eg, water quantity and water quality) are one of the most important
environmental factors essential to improving climate-change resilience. Remote sensing …

This paper uses a bibliometric approach to examine the growth of and changes in the
Spatial Decision Support Systems (SDSS) field over the past three decades. Bibliographic …

Today, in many spheres of human activity, massive amounts of data are collected and
stored. As the volumes of data available to lawmakers, civil servants, business people and …

We are living in a world which faces a rapidly increasing amount of data to be dealt with on a
daily basis. In the last decade, the steady improvement of data storage devices and means …

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

Visual analytics aims to combine the strengths of human and electronic data processing.
Visualisation, whereby humans and computers cooperate through graphics, is the means …

Geospatial big data present a new set of challenges and opportunities for cartographic
researchers in technical, methodological and artistic realms. New computational and …

This book provides a comprehensive examination of the various aspects of SDSS evolution,
components, architecture, and implementation. Integrating research from a variety of …

Maps synthesizing climate, biophysical and socioeconomic data have become part of the
standard tool‐kit for communicating the risks of climate change to society. Vulnerability maps …