STAMP

Spatial-temporal analysis of moving polygons

Colin Robertson, Trisalyn Nelson, Barry Boots, Michael A. Wulder

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Research questions regarding temporal change in spatial patterns are increasingly common in geographical analysis. In this research, we explore and extend an approach to the spatial-temporal analysis of polygons that are spatially distinct and experience discrete changes though time. We present five new movement events for describing spatial processes: displacement, convergence, divergence, fragmentation and concentration. Spatial-temporal measures of events for size and direction are presented for two time periods, and multiple time periods. Size change metrics are based on area overlaps and a modified cone-based model is used for calculating polygon directional relationships. Quantitative directional measures are used to develop application specific metrics, such as an estimation of the concentration parameter for a von Mises distribution, and the directional rate of spread. The utility of the STAMP methods are demonstrated by a case study on the spread of a wildfire in northwestern Montana.

Original languageEnglish (US)
Pages (from-to)207-227
Number of pages21
JournalJournal of Geographical Systems
Volume9
Issue number3
DOIs
StatePublished - Sep 2007
Externally publishedYes

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temporal analysis
polygon
event
wildfire
divergence
fragmentation
time
experience

Keywords

  • Events
  • Geocomputation
  • Polygons
  • Spatial pattern analysis
  • Spatial-temporal analysis
  • Spread

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

STAMP : Spatial-temporal analysis of moving polygons. / Robertson, Colin; Nelson, Trisalyn; Boots, Barry; Wulder, Michael A.

In: Journal of Geographical Systems, Vol. 9, No. 3, 09.2007, p. 207-227.

Research output: Contribution to journalArticle

Robertson, Colin ; Nelson, Trisalyn ; Boots, Barry ; Wulder, Michael A. / STAMP : Spatial-temporal analysis of moving polygons. In: Journal of Geographical Systems. 2007 ; Vol. 9, No. 3. pp. 207-227.
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