Spatial statistics, or how to extract knowledge from data

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandBeitrag in Buch/SammelwerkForschungPeer-Review

Autorschaft

  • Anna Antoniuk
  • Miryam S. Merk
  • Philipp Otto

Externe Organisationen

  • Europa-Universität Viadrina Frankfurt (Oder)
  • Georg-August-Universität Göttingen
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksHandbook of Big Geospatial Data
ErscheinungsortCham
Herausgeber (Verlag)Springer International Publishing AG
Seiten399-426
Seitenumfang28
ISBN (elektronisch)9783030554620
ISBN (Print)9783030554613
PublikationsstatusVeröffentlicht - 17 Dez. 2020

Abstract

In this paper, we give an overview of selected statistical models to draw (statistically significant) conclusions from data. This is particularly important to prove theoretical/physical models. For this reason, we initially describe classical modeling approaches in geostatistics and spatial econometrics. Moreover, we show how large spatial and spatiotemporal data can be modeled by these approaches. Therefore, we sketch selected suitable methods and their computational implementation. Thus, the paper should give a general guideline to analyze big geospatial data, where "big data" refers to the total number of spatially dependent observations, and to draw conclusions from these data. Finally, we compare two of these approaches by applying them to an empirical data set. To be precise, we model the particulate matter concentration (PM2.5) in Colorado.

ASJC Scopus Sachgebiete

Zitieren

Spatial statistics, or how to extract knowledge from data. / Antoniuk, Anna; Merk, Miryam S.; Otto, Philipp.
Handbook of Big Geospatial Data. Cham: Springer International Publishing AG, 2020. S. 399-426.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandBeitrag in Buch/SammelwerkForschungPeer-Review

Antoniuk, A, Merk, MS & Otto, P 2020, Spatial statistics, or how to extract knowledge from data. in Handbook of Big Geospatial Data. Springer International Publishing AG, Cham, S. 399-426. https://doi.org/10.1007/978-3-030-55462-0_15
Antoniuk, A., Merk, M. S., & Otto, P. (2020). Spatial statistics, or how to extract knowledge from data. In Handbook of Big Geospatial Data (S. 399-426). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-55462-0_15
Antoniuk A, Merk MS, Otto P. Spatial statistics, or how to extract knowledge from data. in Handbook of Big Geospatial Data. Cham: Springer International Publishing AG. 2020. S. 399-426 doi: 10.1007/978-3-030-55462-0_15
Antoniuk, Anna ; Merk, Miryam S. ; Otto, Philipp. / Spatial statistics, or how to extract knowledge from data. Handbook of Big Geospatial Data. Cham : Springer International Publishing AG, 2020. S. 399-426
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