Editors:
- Presents papers summarizing the latest research findings in the area of big spatial data
- Offers a multidisciplinary focus with papers analysing key problems related to big spatial data utilisation
- Provides a combination of theoretical papers and applications
- Written by leading international authors
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Geoinformation and Cartography (LNGC)
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Table of contents (28 papers)
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Front Matter
About this book
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.
Editors and Affiliations
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Institute of Geoinformatics, VŠB-Technical University of Ostrava, Ostrava, Moravskoslezsky, Czech Republic
Igor Ivan, Jiří Horák, Tomáš Inspektor
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Department of Geography and Planning, University of Liverpool, Liverpool, Merseyside, United Kingdom
Alex Singleton
Bibliographic Information
Book Title: The Rise of Big Spatial Data
Editors: Igor Ivan, Alex Singleton, Jiří Horák, Tomáš Inspektor
Series Title: Lecture Notes in Geoinformation and Cartography
DOI: https://doi.org/10.1007/978-3-319-45123-7
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-45122-0Published: 15 October 2016
Softcover ISBN: 978-3-319-83216-6Published: 16 June 2018
eBook ISBN: 978-3-319-45123-7Published: 14 October 2016
Series ISSN: 1863-2246
Series E-ISSN: 1863-2351
Edition Number: 1
Number of Pages: XXVII, 408
Number of Illustrations: 26 b/w illustrations, 129 illustrations in colour
Topics: Geographical Information Systems/Cartography, Data Mining and Knowledge Discovery