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....

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Noskov, Alexey (VerfasserIn) , Grinberger, A. Yair (VerfasserIn) , Papapesios, Nikolaos (VerfasserIn) , Rousell, Adam (VerfasserIn) , Troilo, Rafael (VerfasserIn) , Zipf, Alexander (VerfasserIn)
Dokumenttyp:	Kapitel/Artikel
Sprache:	Englisch
Veröffentlicht:	2019
In:	Spatial planning in the big data revolution Year: 2019, Pages: 16-44
DOI:	10.4018/978-1-5225-7927-4.ch002
Online-Zugang:	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
Verfasserangaben:	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