Stampr: Spatial-temporal analysis of moving polygons in R

Jed Long; Colin Robertson; Trisalyn Nelson

doi:10.18637/jss.v084.c01

Stampr: Spatial-temporal analysis of moving polygons in R

Jed Long, Colin Robertson, Trisalyn Nelson

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

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.

Original language	English (US)
Article number	1
Journal	Journal of Statistical Software
Volume	84
DOIs	https://doi.org/10.18637/jss.v084.c01
State	Published - 2018

Keywords

GIS
Polygons
R
Spatial-temporal

ASJC Scopus subject areas

Software
Statistics and Probability
Statistics, Probability and Uncertainty

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10.18637/jss.v084.c01

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title = "Stampr: Spatial-temporal analysis of moving polygons in R",

abstract = "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.",

keywords = "GIS, Polygons, R, Spatial-temporal",

author = "Jed Long and Colin Robertson and Trisalyn Nelson",

year = "2018",

doi = "10.18637/jss.v084.c01",

language = "English (US)",

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journal = "Journal of Statistical Software",

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T2 - Spatial-temporal analysis of moving polygons in R

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AU - Nelson, Trisalyn

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AB - 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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KW - Polygons

KW - R

KW - Spatial-temporal

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JO - Journal of Statistical Software

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ER -

Stampr: Spatial-temporal analysis of moving polygons in R

Abstract

Keywords

ASJC Scopus subject areas

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