The Rise of Big Spatial Data

Language: English

Published by Springer International Publishing, Springer International Publishing, 2018

3319832166 / 9783319832166

Series: Book 55 of 74 - Lecture Notes in Geoinformation and Cartography

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Druck auf Anfrage Neuware - Printed after ordering - This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16-18, 2016.Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation.Welcome to dawn of the big data era: though it's in sight, it isn't quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all 'small data' issues that soon create 'big data' troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.

Seller Inventory # 9783319832166

Title
The Rise of Big Spatial Data
Author
Igor Ivan
Publisher
Springer International Publishing, Springer International Publishing
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319832166
ISBN 13
9783319832166
Item weight
657 grams
Dimensions
235x155x24 mm
Series
Book 55 of 74: Lecture Notes in Geoinformation and Cartography

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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