Patterns in Mongolian nomadic household movement derived from GPS trajectories

Teickner H, Knoth C, Bartoschek T, Kraehnert K, Vigh M, Purevtseren M, Sugar M, Pebesma E

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

This paper presents an approach for a quantitative analysis of movement patterns of nomadic households based on GPS trajectories. We distributed GPS loggers to 400 Mongolian herder households who carried them over a 9-month period, continuously recording position data every 30min. A total of 142of the resulting trajectories fulfilled our data quality criteria and were considered during the analysis. Based on this data, we derive summary indicators describing key parameters of the households' mobility including measures of distance and number of movements as well as shape characteristics of the trajectories. We conduct an explorative statistical analysis of these summary indicators to investigate patterns in the nomadic mobility. We identify three movement strategies based on the number of different campsite locations and the distances traveled between campsites. We also compare the results to the existing literature on the mobility of Mongolian herders. Our findings show that GPS-based studies present a suitable framework to quantitatively analyze different movement strategies of nomadic herders.

Details zur Publikation

FachzeitschriftApplied Geography
Jahrgang / Bandnr. / Volume122
Ausgabe / Heftnr. / IssueSeptember 2020
Seitenbereich102270null
StatusVeröffentlicht
Veröffentlichungsjahr2020
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1016/j.apgeog.2020.102270
Link zum Volltexthttp://www.sciencedirect.com/science/article/pii/S0143622820301120
StichwörterNomadic mobility; GPS trajectories; Movement pattern analysis

Autor*innen der Universität Münster

Bartoschek, Thomas
Professur für Geoinformatik (Prof. Schwering) (SIL)
Knoth, Christian
Professur für Geoinformatik (Prof. Pebesma)
Pebesma, Edzer
Professur für Geoinformatik (Prof. Pebesma)
Teickner, Henning
Professur für Geoinformatik (Prof. Pebesma)