Handbook of Big Geospatial Data /

This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Werner, Martin (Editor), Chiang, Yao-Yi (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Big data. Machine learning. Regional economics. Spatial economics. Application software. Geography. Big Data. Machine Learning. Regional/Spatial Science. Computer Applications. Geography, general. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

I Introduction
II Spatial Big Data Platforms and Infrastructures
III Spatial Data Acquisition
IV Indexing and Retrieval of Spatial Big Data
V Scalable Algorithms for Spatial Analytics
VI Data Mining, Machine Learning and Artificial Intelligence
VII Visualization and Interaction
VIII Applications.