Big Data: Techniques and Technologies in Geoinformatics / Edition 1

by Hassan A. Karimi

Overview

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data.

Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information.

With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.

Product Details

ISBN-13:	9781138073197
Publisher:	Taylor & Francis
Publication date:	03/29/2017
Pages:	312
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Hassan Karimi is a Professor and the Director of the Geoinformatics Laboratory in the School of Computing and Information at the University of Pittsburgh. He obtained his PhD in Geomatics Engineering from the University of Calgary. Karimi’s research interests include computational geometry and topology, machine learning, spatial data analytics, navigation techniques and applications, location-based services, mobile computing, and distributed/parallel computing. His research in geoinformatics has resulted in over 230 publications in peer-reviewed journals and conference proceedings, as well as in many workshops and presentations at national and international forums. Karimi has published the following books with Taylor and Francis: Geospatial Data Science Techniques and Applications (2018); Indoor Wayfinding and Navigation (2015); Big Data: Techniques and Technologies in Geoinformatics (2014); Advanced Location-Based Technologies and Services (2013); CAD and GIS Integration (2010); Telegeoinformatics: Location-Based Computing and Services (2004). He has published Universal Navigation on Smartphones (2011) with Springer; and Handbook of Research on Geoinformatics (2009) with IGI.

Table of Contents

Part I: Geospatial Data Collection and Applications. Advanced Geospatial Data Collection Technologies. Geo-Crowdsourcing: A New Trend in Collecting Geospatial Data. Big Data in Location-Based Services. Big Data in Satellite Imagery. Part II: Geospatial Data Analytics. Geostatistics. Geospatial Data Mining. Machine Learning. Geovisualization. Part III: Data-Intensive Geospatial Computing. Distributed Geospatial Data-Intensive Computing. Grid Computing for Geospatial Data-Intensive Problems. Cloud Computing for Geospatial Data-Intensive Problems. Parallel Computing for Geospatial Data-Intensive Problems.