Big Data Computing for Geospatial Applications

Big Data Computing for Geospatial Applications
Author :
Publisher : MDPI
Total Pages : 222
Release :
ISBN-10 : 9783039432448
ISBN-13 : 3039432443
Rating : 4/5 (48 Downloads)

Book Synopsis Big Data Computing for Geospatial Applications by : Zhenlong Li

Download or read book Big Data Computing for Geospatial Applications written by Zhenlong Li and published by MDPI. This book was released on 2020-11-23 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.


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