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stampr : Spatial-Temporal Analysis of Moving Polygons in R
Item metadata
dc.contributor.author | Long, Jed | |
dc.contributor.author | Robertson, Colin | |
dc.contributor.author | Nelson, Trisalyn | |
dc.date.accessioned | 2018-04-27T16:30:11Z | |
dc.date.available | 2018-04-27T16:30:11Z | |
dc.date.issued | 2018-04-20 | |
dc.identifier.citation | Long , J , Robertson , C & Nelson , T 2018 , ' stampr : Spatial-Temporal Analysis of Moving Polygons in R ' , Journal of Statistical Software , vol. 84 . https://doi.org/10.18637/jss.v084.c01 | en |
dc.identifier.issn | 1548-7660 | |
dc.identifier.other | PURE: 249598420 | |
dc.identifier.other | PURE UUID: 31a4d16d-493a-4ffd-aed0-c874a259e4ba | |
dc.identifier.other | Scopus: 85046137412 | |
dc.identifier.other | WOS: 000430531500001 | |
dc.identifier.uri | https://hdl.handle.net/10023/13251 | |
dc.description.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 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. | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Statistical Software | en |
dc.rights | Copyright 2018 the Authors. This work is licensed under a Creative Commons Attribution 3.0 Unported License. | en |
dc.subject | Spatial-temporal | en |
dc.subject | GIS | en |
dc.subject | Polygons | en |
dc.subject | R | en |
dc.subject | HA Statistics | en |
dc.subject | NDAS | en |
dc.subject.lcc | HA | en |
dc.title | stampr : Spatial-Temporal Analysis of Moving Polygons in R | en |
dc.type | Journal article | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews. School of Geography & Sustainable Development | en |
dc.contributor.institution | University of St Andrews. Bell-Edwards Geographic Data Institute | en |
dc.identifier.doi | https://doi.org/10.18637/jss.v084.c01 | |
dc.description.status | Peer reviewed | en |
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