Inferring movement patterns from geometric similarity
Spatial movement data nowadays is becoming ubiquitously available, including data of animals, vehicles and people. This data allows us to analyze the underlying movement. In particular, it allows us to infer movement patterns, such as recurring places and routes. Many methods to do so rely on the no...
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| Format: | Article |
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University of Maine
2020-12-01
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| Series: | Journal of Spatial Information Science |
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| Online Access: | http://josis.org/index.php/josis/article/view/724 |
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doaj-be7309f0dee74f85909f58d0bc597fd32020-12-22T22:33:41ZengUniversity of MaineJournal of Spatial Information Science1948-660X2020-12-01202021636910.5311/JOSIS.2020.21.724291Inferring movement patterns from geometric similarityMaike BuchinCarola WenkSpatial movement data nowadays is becoming ubiquitously available, including data of animals, vehicles and people. This data allows us to analyze the underlying movement. In particular, it allows us to infer movement patterns, such as recurring places and routes. Many methods to do so rely on the notion of similarity of places or routes. Here we briefly survey how research on this has developed in the past 15 years and outline challenges for future work.http://josis.org/index.php/josis/article/view/724movement datamovement patternssimilarity measurespopular placespopular routes |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Maike Buchin Carola Wenk |
| spellingShingle |
Maike Buchin Carola Wenk Inferring movement patterns from geometric similarity Journal of Spatial Information Science movement data movement patterns similarity measures popular places popular routes |
| author_facet |
Maike Buchin Carola Wenk |
| author_sort |
Maike Buchin |
| title |
Inferring movement patterns from geometric similarity |
| title_short |
Inferring movement patterns from geometric similarity |
| title_full |
Inferring movement patterns from geometric similarity |
| title_fullStr |
Inferring movement patterns from geometric similarity |
| title_full_unstemmed |
Inferring movement patterns from geometric similarity |
| title_sort |
inferring movement patterns from geometric similarity |
| publisher |
University of Maine |
| series |
Journal of Spatial Information Science |
| issn |
1948-660X |
| publishDate |
2020-12-01 |
| description |
Spatial movement data nowadays is becoming ubiquitously available, including data of animals, vehicles and people. This data allows us to analyze the underlying movement. In particular, it allows us to infer movement patterns, such as recurring places and routes. Many methods to do so rely on the notion of similarity of places or routes. Here we briefly survey how research on this has developed in the past 15 years and outline challenges for future work. |
| topic |
movement data movement patterns similarity measures popular places popular routes |
| url |
http://josis.org/index.php/josis/article/view/724 |
| work_keys_str_mv |
AT maikebuchin inferringmovementpatternsfromgeometricsimilarity AT carolawenk inferringmovementpatternsfromgeometricsimilarity |
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1724374036348141568 |