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Spatial Data Handling in Big Data Era Select Papers from the 17th IGU Spatial Data Handling Symposium 2016

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-t...

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Bibliographic Details
Other Authors: Zhou, Chenghu (Editor), Su, Fenzhen (Editor), Harvey, Francis (Editor), Xu, Jun (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2017, 2017
Edition:1st ed. 2017
Series:Advances in Geographic Information Science
Subjects:
Geographical Information System
Data Mining
Information Retrieval
Geographic Information Systems
Earth Sciences
Data Mining And Knowledge Discovery
Data Storage Representation
Computer Architecture
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Big geographical data storage and search
  • Data-intensive geospatial computing and data mining
  • Visualization of big geographical data
  • Multi-scale spatial data representations, data structures and algorithms
  • Space-time modelling and analysi
  • Geological applications of Big Data and multi-criteria decision analysis

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