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  • 标题:stampr: Spatial-Temporal Analysis of Moving Polygons in R
  • 本地全文:下载
  • 作者:Jed Long ; Colin Robertson ; Trisalyn Nelson
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2018
  • 卷号:84
  • 期号:1
  • 页码:1-19
  • DOI:10.18637/jss.v084.c01
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:The R package stampr implements functions for analyzing movement in mapped polygon data. Methods described in this paper include deriving change events based on spatial relationships, plotting change events, summarizing measures of distance and direction of movement, characterizing changes in polygon shape changes, and characterizing sequences of polygons over time using graphs. Two examples are used to demonstrate the core functionality available in the stampr package.
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