{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T17:11:30Z","timestamp":1780333890235,"version":"3.54.1"},"reference-count":23,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2015,5,20]],"date-time":"2015-05-20T00:00:00Z","timestamp":1432080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSPATIAL Special"],"published-print":{"date-parts":[[2015,5,20]]},"abstract":"<jats:p>This position paper reviews the achievements and open challenges of movement analysis within Geographical Information Science. The paper argues that the simple problems of movement analysis have mostly been addressed to a sufficient level (\"the low hanging fruit\"), leaving the research community with the much more challenging problems for the years ahead (\"the high hanging fruit\"). Whereas the community has made good progress in structuring trajectory data (segmentation, similarity, clustering) and conceptualizing and detecting movement patterns, the much harder task of semantic annotation of structures and patterns remains difficult. The position paper summarizes both achievements and challenges with two sets assertions and calls for the establishment of a unifying theory of Computational Movement Analysis.<\/jats:p>","DOI":"10.1145\/2782759.2782762","type":"journal-article","created":{"date-parts":[[2015,5,26]],"date-time":"2015-05-26T14:36:05Z","timestamp":1432650965000},"page":"3-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["The low hanging fruit is gone"],"prefix":"10.1145","volume":"7","author":[{"given":"Patrick","family":"Laube","sequence":"first","affiliation":[{"name":"Zurich University of Applied Sciences, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,5,20]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/2541758"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2013.841167"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxs117"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424338"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1463434.1463476"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-014-0207-5"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/2051-3933-1-3"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/11556114_19"},{"key":"e_1_2_1_9_1","volume-title":"Morgan Kaufmann","author":"G\u00fcting R. 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The Journal of experimental biology, 215(Pt 6):986--96 , Mar. 2012 . R. Nathan, O. Spiegel, S. Fortmann-Roe, R. Harel, M. Wikelski, and W. M. Getz. Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures. The Journal of experimental biology, 215(Pt 6):986--96, Mar. 2012."},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2014.06.003"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1472-4642.2010.00694.x"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0037997"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsbl.2011.0764"},{"key":"e_1_2_1_23_1","volume-title":"Journal of Spatial Information Science","author":"Soleymani A.","year":"2015","unstructured":"A. Soleymani , J. Cachat , and K. Robinson . 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