Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

Spatial optimization is an interdisciplinary field dedicated to the scientific and rational
allocation of resources spatially, which has received tremendous attention across various …

Big Data has emerged with new opportunities for research, development, innovation and
business. It is characterized by the so-called four Vs: volume, velocity, veracity and variety …

Spatiotemporal data fusion is a cost-effective way to produce remote sensing images with
high spatial and temporal resolutions using multisource images. Using spectral unmixing …

Большие данные широко представлены при исследовании Земли из космоса при
наземных исследованиях. Это дает основание говорить о больших пространственных …

A computing cloud is a set of network enabled services, providing scalable, inexpensive
computing platforms on demand, which can be accessed in a simple way. This book helps …

This study takes a data-driven approach to define urban nighttime by examining the
spatiotemporal dynamics of urban vitality. Using micro-scale spatiotemporal analysis, this …

The unprecedented growth of climate data creates new opportunities for climate studies, and
yet big climate data pose a grand challenge to climatologists to efficiently manage and …

Big data emerged as a new paradigm to provide unprecedented content and value for
Digital Earth. Big Earth data are increasing tremendously with growing heterogeneity …

Spatial optimization deals with a variety of problems involved in arranging, operating, and
designing systems of activities across a spatial domain. It is comprised of both models and …