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: | , , , , , |
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| Format: | Chapter/Article |
| Language: | English |
| Published: |
2019
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| 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 |
| 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 |
| 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... |
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| Item Description: | Gesehen am 19.02.2026 |
| Physical Description: | Online Resource |
| ISBN: | 1522579281 9781522579281 |
| DOI: | 10.4018/978-1-5225-7927-4.ch002 |