Modelling and assessing spatial big data: use cases of the OpenStreetMap full-history dump

Many methods for intrinsic quality assessment of spatial data are based on the OpenStreetMap full-history dump. Typically, the high-level analysis is conducted; few approaches take into account the low-level properties of data files. In this chapter, a low-level data-type analysis is introduced. It....

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Main Authors: Noskov, Alexey (Author) , Grinberger, A. Yair (Author) , Papapesios, Nikolaos (Author) , Rousell, Adam (Author) , Troilo, Rafael (Author) , Zipf, Alexander (Author)
Format: Chapter/Article
Language:English
Published: 2019
In: Spatial planning in the big data revolution
Year: 2019, Pages: 16-44
DOI:10.4018/978-1-5225-7927-4.ch002
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.4018/978-1-5225-7927-4.ch002
Verlag, lizenzpflichtig, Volltext: https://www.igi-global.com/gateway/chapter/www.igi-global.com/gateway/chapter/223698
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Author Notes:Alexey Noskov, Heidelberg University, Germany, A. Yair Grinberger, Heidelberg University, Germany, Nikolaos Papapesios, University College London, UK, Adam Rousell, Heidelberg University, Germany, Rafael Troilo, Heidelberg University, Germany, Alexander Zipf, Heidelberg University, Germany
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Summary:Many methods for intrinsic quality assessment of spatial data are based on the OpenStreetMap full-history dump. Typically, the high-level analysis is conducted; few approaches take into account the low-level properties of data files. In this chapter, a low-level data-type analysis is introduced. It...
Item Description:Gesehen am 19.02.2026
Physical Description:Online Resource
ISBN:1522579281
9781522579281
DOI:10.4018/978-1-5225-7927-4.ch002