nach der Bestellung gedruckt Neuware - Printed after ordering - 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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Bibliographic Details

Title: Big Data Computing for Geospatial Applications
Publisher: MDPI AG
Publication Date: 2020
Language: English
ISBN 10: 3039432443
ISBN 13: 9783039432448
Binding: Buch
Condition: Neu
Dimensions: 250 millimeters width by 175 millimeters height by 19 millimeters depth
Weight: 755 grams

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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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