{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:14:18Z","timestamp":1740158058656,"version":"3.37.3"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T00:00:00Z","timestamp":1615075200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T00:00:00Z","timestamp":1615075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"DFG - German Research Foundation","award":["251654672","422037984"],"award-info":[{"award-number":["251654672","422037984"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:sec><jats:title>Abstract<\/jats:title><jats:p>The recent availability of affordable and lightweight tracking sensors allows researchers to collect large and complex movement data sets. To explore and analyse these data, applications are required that are capable of handling the data while providing an environment that enables the analyst(s) to focus on the task of investigating the movement in the context of the geographic environment it occurred in. We present an extensible, open-source framework for collaborative analysis of geospatial\u2013temporal movement data with a use case in collective behaviour analysis. The framework TEAMwISE supports the concurrent usage of several program instances, allowing to have different perspectives on the same data in collocated or remote set-ups. The implementation can be deployed in a variety of immersive environments, for example, on a tiled display wall and mobile VR devices.<\/jats:p><\/jats:sec><jats:sec><jats:title>Graphic abstract<\/jats:title><\/jats:sec>","DOI":"10.1007\/s12650-021-00746-2","type":"journal-article","created":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T15:02:31Z","timestamp":1615129351000},"page":"845-859","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["TEAMwISE: synchronised immersive environments for exploration and analysis of animal behaviour"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8345-5806","authenticated-orcid":false,"given":"Karsten","family":"Klein","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Aichem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Erk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bj\u00f6rn","family":"Sommer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Falk","family":"Schreiber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,7]]},"reference":[{"issue":"1","key":"746_CR1","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1109\/TVCG.2007.70415","volume":"14","author":"W Aigner","year":"2008","unstructured":"Aigner W, Miksch S, M\u00fcller W, Schumann H, Tominski C (2008) Visual methods for analyzing time-oriented data. IEEE Trans Vis Comput Graph 14(1):47\u201360. https:\/\/doi.org\/10.1109\/TVCG.2007.70415","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"746_CR2","doi-asserted-by":"crossref","unstructured":"Andres JM, Davis M, Fujiwara K, Anderson JC, Fang T, Nedbal M (2009) A geospatially enabled, PC-based, software to fuse and interactively visualize large 4D\/5D data sets. In: OCEANS 2009, pp 1\u20139, 10.23919\/OCEANS.2009.5422372","DOI":"10.23919\/OCEANS.2009.5422372"},{"issue":"2","key":"746_CR3","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/1345448.1345455","volume":"9","author":"G Andrienko","year":"2007","unstructured":"Andrienko G, Andrienko N, Wrobel S (2007) Visual analytics tools for analysis of movement data. SIGKDD Explor Newsl 9(2):38\u201346. https:\/\/doi.org\/10.1145\/1345448.1345455","journal-title":"SIGKDD Explor Newsl"},{"key":"746_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37583-5","volume-title":"Visual analytics of movement","author":"G Andrienko","year":"2013","unstructured":"Andrienko G, Andrienko N, Bak P, Keim D, Wrobel S (2013) Visual analytics of movement. Springer, Berlin"},{"issue":"2","key":"746_CR5","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1109\/TVCG.2010.44","volume":"17","author":"N Andrienko","year":"2011","unstructured":"Andrienko N, Andrienko G (2011) Spatial generalization and aggregation of massive movement data. IEEE Trans Vis Comput Graph 17(2):205\u2013219. https:\/\/doi.org\/10.1109\/TVCG.2010.44","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"746_CR6","doi-asserted-by":"publisher","unstructured":"Andrienko N, Andrienko G, Gatalsky P (2000) Supporting visual exploration of object movement. In: Proc. working conference on advanced visual interfaces, ACM, AVI \u201900, pp 217\u2013220, https:\/\/doi.org\/10.1145\/345513.345319","DOI":"10.1145\/345513.345319"},{"key":"746_CR7","doi-asserted-by":"crossref","unstructured":"Arsenault R, Ware C, Plumlee M, Martin S, Whitcomb LL, Wiley D, Gross T, Bilgili A (2004) A system for visualizing time varying oceanographic 3D data. In: Oceans \u201904 MTS\/IEEE Techno-Ocean \u201904 (IEEE Cat. No.04CH37600), vol\u00a02, pp 743\u2013747 Vol.2","DOI":"10.1109\/OCEANS.2004.1405535"},{"issue":"3","key":"746_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0193049","volume":"13","author":"K Bod\u2019ov\u00e1","year":"2018","unstructured":"Bod\u2019ov\u00e1 K, Mitchell GJ, Harpaz R, Schneidman E, Tka\u010dik G (2018) Probabilistic models of individual and collective animal behavior. PLOS ONE 13(3):1\u201330. https:\/\/doi.org\/10.1371\/journal.pone.0193049","journal-title":"PLOS ONE"},{"issue":"3","key":"746_CR9","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1111\/j.1467-8659.2011.01946.x","volume":"30","author":"I Boyandin","year":"2011","unstructured":"Boyandin I, Bertini E, Bak P, Lalanne D (2011) Flowstrates: an approach for visual exploration of temporal origin-destination data. Comput Gr Forum 30(3):971\u2013980. https:\/\/doi.org\/10.1111\/j.1467-8659.2011.01946.x","journal-title":"Comput Gr Forum"},{"key":"746_CR10","doi-asserted-by":"publisher","DOI":"10.1111\/ecog.03618","author":"C Bracis","year":"2018","unstructured":"Bracis C, Bildstein KL, Mueller T (2018) Revisitation analysis uncovers spatio-temporal patterns in animal movement data. Ecography. https:\/\/doi.org\/10.1111\/ecog.03618","journal-title":"Ecography"},{"key":"746_CR11","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.anbehav.2019.02.005","volume":"150","author":"R Buchholz","year":"2019","unstructured":"Buchholz R, Banusiewicz JD, Burgess S, Crocker-Buta S, Eveland L, Fuller L (2019) Behavioural research priorities for the study of animal response to climate change. Anim Behav 150:127\u2013137. https:\/\/doi.org\/10.1016\/j.anbehav.2019.02.005","journal-title":"Anim Behav"},{"key":"746_CR12","unstructured":"CesiumJS (2020) cesiumjs API reference. http:\/\/cesiumjs.org\/refdoc.html. Last accessed 11 Dec 19"},{"key":"746_CR13","first-page":"73","volume":"2015","author":"T Chandler","year":"2015","unstructured":"Chandler T, Cordeil M, Czauderna T, Dwyer T, Glowacki J, Goncu C, Klapperstueck M, Klein K, Marriott K, Schreiber F, Wilson E (2015) Immersive analytics. IEEE Big Data Vis Anal 2015:73\u201380","journal-title":"IEEE Big Data Vis Anal"},{"key":"746_CR14","unstructured":"D3js (2019) d3js API reference. https:\/\/github.com\/d3\/d3\/blob\/master\/API.md. Last accessed 30 Jun 19"},{"issue":"1","key":"746_CR15","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s40462-015-0032-y","volume":"3","author":"U Dem\u0161ar","year":"2015","unstructured":"Dem\u0161ar U, Buchin K, Cagnacci F, Safi K, Speckmann B, Van de Weghe N, Weiskopf D, Weibel R (2015) Analysis and visualisation of movement: an interdisciplinary review. Mov Ecol 3(1):5","journal-title":"Mov Ecol"},{"key":"746_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-030-01388-2_1","volume-title":"Immersive analytics","author":"T Dwyer","year":"2018","unstructured":"Dwyer T, Marriott K, Isenberg T, Klein K, Riche N, Schreiber F, Stuerzlinger W, Thomas BH (2018) Immersive analytics: an introduction. In: Marriott K, Schreiber F, Dwyer T, Klein K, Riche NH, Itoh T, Stuerzlinger W, Thomas BH (eds) Immersive analytics. Springer, Berlin, pp 1\u201323. https:\/\/doi.org\/10.1007\/978-3-030-01388-2_1"},{"key":"746_CR17","unstructured":"ESA CCI (2020) ESA climate change initiative open data portal. http:\/\/cci.esa.int\/data, http:\/\/cci.esa.int\/data. Last accessed 12 Jul 20"},{"issue":"3","key":"746_CR18","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1002\/(SICI)1099-1778(199607)7:3%3c141::AID-VIS147%3e3.0.CO;2-N","volume":"7","author":"MA Fedak","year":"1996","unstructured":"Fedak MA, Lovell P, McConnell BJ (1996) Mamvis: a marine mammal behaviour visualization system. The J Vis Comput Anim 7(3):141\u2013147. https:\/\/doi.org\/10.1002\/(SICI)1099-1778(199607)7:3<141::AID-VIS147>3.0.CO;2-N","journal-title":"The J Vis Comput Anim"},{"key":"746_CR19","doi-asserted-by":"crossref","unstructured":"Frank AU (1998) Different types of \u201ctimes\u201d in GIS. Spatial and temporal reasoning in geographic information systems pp 40\u201362","DOI":"10.1093\/oso\/9780195103427.003.0003"},{"key":"746_CR20","doi-asserted-by":"crossref","unstructured":"Gon\u00e7alves T, Afonso AP, Martins B, Gon\u00e7alves D (2013) ST-TrajVis: Interacting with trajectory data. In: Proc. 27th international BCS human computer interaction conference, British Computer Society, BCS-HCI \u201913, pp 48:1\u201348:6","DOI":"10.14236\/ewic\/HCI2013.56"},{"key":"746_CR21","doi-asserted-by":"crossref","unstructured":"Greffard N, Picarougne F, Kuntz P (2011) Visual community detection: an evaluation of 2D, 3D perspective and 3D stereoscopic displays. In: International symposium on graph drawing, Springer, pp 215\u2013225","DOI":"10.1007\/978-3-642-25878-7_21"},{"issue":"1","key":"746_CR22","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1007\/BF01936872","volume":"24","author":"T H\u00e4gerstrand","year":"1970","unstructured":"H\u00e4gerstrand T (1970) What about people in regional science? Pap Reg Sci Assoc 24(1):6\u201321. https:\/\/doi.org\/10.1007\/BF01936872","journal-title":"Pap Reg Sci Assoc"},{"issue":"3","key":"746_CR23","doi-asserted-by":"publisher","first-page":"20180834","DOI":"10.1098\/rsbl.2018.0834","volume":"15","author":"CD Hamilton","year":"2019","unstructured":"Hamilton CD, Vacqui\u00e9-Garcia J, Kovacs KM, Ims RA, Kohler J, Lydersen C (2019) Contrasting changes in space use induced by climate change in two arctic marine mammal species. Biol Lett 15(3):20180834. https:\/\/doi.org\/10.1098\/rsbl.2018.0834","journal-title":"Biol Lett"},{"issue":"3","key":"746_CR24","doi-asserted-by":"publisher","first-page":"19:1","DOI":"10.1145\/1773965.1773970","volume":"7","author":"A Kjellin","year":"2008","unstructured":"Kjellin A, Pettersson LW, Seipel S, Lind M (2008) Evaluating 2D and 3D visualizations of spatiotemporal information. ACM Trans Appl Percept 7(3):19:1-19:23. https:\/\/doi.org\/10.1145\/1773965.1773970","journal-title":"ACM Trans Appl Percept"},{"key":"746_CR25","doi-asserted-by":"crossref","unstructured":"Klein K, Aichem M, Sommer B, Erk S, Zhang Y, Schreiber F (2019a) Teamwise: Synchronised immersive environments for exploration and analysis of movement data. In: Proc. 12th international symposium on visual information communication and interaction, ACM, VINCI\u20192019, 10.1145\/3356422.3356450","DOI":"10.1145\/3356422.3356450"},{"issue":"153","key":"746_CR26","doi-asserted-by":"publisher","first-page":"e794","DOI":"10.1098\/rsif.2018.0794","volume":"16","author":"K Klein","year":"2019","unstructured":"Klein K, Sommer B, Nim HT, Flack A, Safi K, Nagy M, Feyer SP, Zhang Y, Rehberg K, Gluschkow A, Quetting M, Fiedler W, Wikelski M, Schreiber F (2019b) Fly with the flock: immersive solutions for animal movement visualization and analytics. J R Soc Interface 16(153):e794. https:\/\/doi.org\/10.1098\/rsif.2018.0794","journal-title":"J R Soc Interface"},{"issue":"1","key":"746_CR27","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1177\/1473871617751245","volume":"18","author":"M Konzack","year":"2019","unstructured":"Konzack M, Gijsbers P, Timmers F, van Loon E, Westenberg MA, Buchin K (2019) Visual exploration of migration patterns in gull data. Inf Vis 18(1):138\u2013152. https:\/\/doi.org\/10.1177\/1473871617751245","journal-title":"Inf Vis"},{"issue":"360","key":"746_CR28","first-page":"r365","volume":"1","author":"B Kranstauber","year":"2013","unstructured":"Kranstauber B, Smolla M, Scharf AK (2013) Move: visualizing and analyzing animal track data. R Package Vers 1(360):r365","journal-title":"R Package Vers"},{"key":"746_CR29","doi-asserted-by":"publisher","unstructured":"Lee JG, Lee KC, Shin DH (2014) A new approach to exploring spatiotemporal space in the context of social network services. In: Proc. 6th international conference on social computing and social media - volume 8531, Springer, New York, Inc., pp 221\u2013228. https:\/\/doi.org\/10.1007\/978-3-319-07632-4_21","DOI":"10.1007\/978-3-319-07632-4_21"},{"issue":"C","key":"746_CR30","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.jvlc.2017.04.001","volume":"41","author":"J Li","year":"2017","unstructured":"Li J, Xiao Z, Kong J (2017) A viewpoint based approach to the visual exploration of trajectory. J Vis Lang Comput 41(C):41\u201353. https:\/\/doi.org\/10.1016\/j.jvlc.2017.04.001","journal-title":"J Vis Lang Comput"},{"issue":"1","key":"746_CR31","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1559\/152304001782173970","volume":"28","author":"AM MacEachren","year":"2001","unstructured":"MacEachren AM, Kraak MJ (2001) Research challenges in geovisualization. Cartogr Geogr Inf Sci 28(1):3\u201312","journal-title":"Cartogr Geogr Inf Sci"},{"key":"746_CR32","unstructured":"Mai PM, Wikelski M, Scocco P, Catorci A, Keim D, Pohlmeier W, Fechteler G (2018) Monitoring pre-seismic activity changes in a domestic animal collective in Central Italy. In: EGU general assembly conference abstracts, EGU general assembly conference abstracts, p 19348"},{"key":"746_CR33","unstructured":"Max-Planck-Society (2019) Movebank data repository. http:\/\/www.movebank.org. Last accessed 12 Sep 19"},{"issue":"2","key":"746_CR34","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1080\/19475683.2014.904560","volume":"20","author":"G McArdle","year":"2014","unstructured":"McArdle G, Dem\u0161ar U, van der Spek S, McLoone S (2014) Classifying pedestrian movement behaviour from GPS trajectories using visualization and clustering. Ann GIS 20(2):85\u201398. https:\/\/doi.org\/10.1080\/19475683.2014.904560","journal-title":"Ann GIS"},{"key":"746_CR35","doi-asserted-by":"crossref","unstructured":"McIntire JP, Havig PR, Geiselman EE (2012) What is 3D good for? A review of human performance on stereoscopic 3D displays. In: Head- and helmet-mounted displays XVII, international society for optics and photonics (SPIE), vol 8383, pp 83830X\u20131\u201383830X\u201313, 10.1117\/12.920017","DOI":"10.1117\/12.920017"},{"key":"746_CR36","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1038\/nature08891","volume":"464","author":"M Nagy","year":"2010","unstructured":"Nagy M, \u00c1kos Z, Biro D, Vicsek T (2010) Hierarchical group dynamics in pigeon flocks. Nature 464:890\u2013893. https:\/\/doi.org\/10.1038\/nature08891","journal-title":"Nature"},{"key":"746_CR37","unstructured":"Nim HT, Sommer B, Klein K, Flack A, Safi K, Nagy M, Fiedler W, Wikelski M, Schreiber F (2017) Design considerations for immersive analytics of bird movements obtained by miniaturised GPS sensors. In: Eurographics workshop on visual computing for biology and medicine, The Eurographics Association, pp 27\u201331. 10.2312\/vcbm.20171234"},{"key":"746_CR38","unstructured":"Nodejs (2019) Node.js API reference. https:\/\/nodejs.org\/en\/docs\/. Last accessed 12 Nov 19"},{"key":"746_CR39","doi-asserted-by":"crossref","unstructured":"Ooms J (2013) OpenCPU: producing and reproducing results. http:\/\/www.opencpu.org\/","DOI":"10.32614\/CRAN.package.opencpu"},{"key":"746_CR40","unstructured":"Python Core Team (2018) Python: a dynamic, open source programming language. Python Foundation for Statistical Computing. https:\/\/www.python.org\/"},{"key":"746_CR41","unstructured":"R Core Team (2013) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. http:\/\/www.R-project.org\/"},{"issue":"7","key":"746_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0022104","volume":"6","author":"SA Rands","year":"2011","unstructured":"Rands SA (2011) Approximating optimal behavioural strategies down to rules-of-thumb: energy reserve changes in pairs of social foragers. PLOS ONE 6(7):1\u20138. https:\/\/doi.org\/10.1371\/journal.pone.0022104","journal-title":"PLOS ONE"},{"issue":"4","key":"746_CR43","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1145\/37402.37406","volume":"21","author":"CW Reynolds","year":"1987","unstructured":"Reynolds CW (1987) Flocks, herds and schools: a distributed behavioral model. SIGGRAPH Comput Gr 21(4):25\u201334. https:\/\/doi.org\/10.1145\/37402.37406","journal-title":"SIGGRAPH Comput Gr"},{"key":"746_CR44","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1007\/978-3-642-17635-7_37","volume-title":"Unifying themes in complex systems","author":"J Schank","year":"2011","unstructured":"Schank J, Joshi S, May C, Tran JT, Bish R (2011) A multi-modeling approach to the study of animal behavior. In: Braha D, Bar-Yam Y, Minai AA (eds) Unifying themes in complex systems. Springer, Berlin, pp 304\u2013312"},{"key":"746_CR45","unstructured":"Seeley TD, Sherman PW (2019) Animal behaviour. Encyclopaedia Britannica, Inc. https:\/\/www.britannica.com\/science\/animal-behavior. Last accessed 20 Jan 2020"},{"issue":"3","key":"746_CR46","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1111\/cgf.12923","volume":"35","author":"A Slingsby","year":"2016","unstructured":"Slingsby A, van Loon E (2016) Exploratory visual analysis for animal movement ecology. Comput Gr Forum 35(3):471\u2013480. https:\/\/doi.org\/10.1111\/cgf.12923","journal-title":"Comput Gr Forum"},{"issue":"1","key":"746_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1117\/1.JEI.23.1.011007","volume":"23","author":"B Sommer","year":"2014","unstructured":"Sommer B, Bender C, Hoppe T, Gamroth C, Jelonek L (2014) Stereoscopic cell visualization: from mesoscopic to molecular scale. J Electron Imaging 23(1):1\u201311","journal-title":"J Electron Imaging"},{"key":"746_CR48","doi-asserted-by":"crossref","unstructured":"Sommer B, Diehl A, Aichem M, Meschenmoser P, Rehberg K, Weber D, Zhang Y, Klein K, Keim D, Schreiber F (2019) Tiled stereoscopic 3D display wall\u2014concept, applications and evaluation. In: IS&T electronic imaging\u2014stereoscopic displays and applications XX, pp 641\u20131\u2013641\u201315","DOI":"10.2352\/ISSN.2470-1173.2019.3.SDA-641"},{"key":"746_CR49","doi-asserted-by":"publisher","unstructured":"Spretke D, Bak P, Janetzko H, Kranstauber B, Mansmann F, Davidson S (2011) Exploration through enrichment: a visual analytics approach for animal movement. In: Proc. 19th ACM SIGSPATIAL international conference on advances in geographic information systems, ACM, GIS \u201911, pp 421\u2013424. https:\/\/doi.org\/10.1145\/2093973.2094038","DOI":"10.1145\/2093973.2094038"},{"issue":"1465","key":"746_CR50","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1098\/rstb.2005.1733","volume":"361","author":"DJT Sumpter","year":"2006","unstructured":"Sumpter DJT (2006) The principles of collective animal behaviour. Philos Trans R Soc London Ser B Biol Sci 361(1465):5\u201322. https:\/\/doi.org\/10.1098\/rstb.2005.1733","journal-title":"Philos Trans R Soc London Ser B Biol Sci"},{"issue":"6","key":"746_CR51","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1098\/rsfs.2012.0031","volume":"2","author":"DJT Sumpter","year":"2012","unstructured":"Sumpter DJT, Mann RP, Perna A (2012) The modelling cycle for collective animal behaviour. Interface Focus 2(6):764\u2013773. https:\/\/doi.org\/10.1098\/rsfs.2012.0031","journal-title":"Interface Focus"},{"key":"746_CR52","unstructured":"TEAMwISE Team (2020) TEAMwISE Homepage. University of Konstanz, Life Science Informatics. http:\/\/team-wise.org\/"},{"issue":"12","key":"746_CR53","doi-asserted-by":"publisher","first-page":"2565","DOI":"10.1109\/TVCG.2012.265","volume":"18","author":"C Tominski","year":"2012","unstructured":"Tominski C, Schumann H, Andrienko G, Andrienko N (2012) Stacking-based visualization of trajectory attribute data. IEEE Trans Vis Comput Graph 18(12):2565\u20132574","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"7","key":"746_CR54","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0101205","volume":"9","author":"JA Tracey","year":"2014","unstructured":"Tracey JA, Sheppard J, Zhu J, Wei F, Swaisgood RR, Fisher RN (2014) Movement-based estimation and visualization of space use in 3d for wildlife ecology and conservation. PLOS ONE 9(7):1\u201315. https:\/\/doi.org\/10.1371\/journal.pone.0101205","journal-title":"PLOS ONE"},{"key":"746_CR55","unstructured":"USGS (2020) USGS earth explorer. https:\/\/earthexplorer.usgs.gov\/. https:\/\/earthexplorer.usgs.gov\/. Last accessed 18 Mar 20"},{"key":"746_CR56","doi-asserted-by":"publisher","unstructured":"Wang Z, Yuan X (2014) Urban trajectory timeline visualization. In: 2014 International conference on big data and smart computing (BIGCOMP), pp 13\u201318. https:\/\/doi.org\/10.1109\/BIGCOMP.2014.6741397","DOI":"10.1109\/BIGCOMP.2014.6741397"},{"issue":"24","key":"746_CR57","doi-asserted-by":"publisher","first-page":"8706","DOI":"10.1002\/ece3.2585","volume":"6","author":"R Weinzierl","year":"2016","unstructured":"Weinzierl R, Bohrer G, Kranstauber B, Fiedler W, Wikelski M, Flack A (2016) Wind estimation based on thermal soaring of birds. Ecol Evolut 6(24):8706\u20138718","journal-title":"Ecol Evolut"},{"key":"746_CR58","unstructured":"Wikelski M, Kays R (2020) Movebank: archive, analysis and sharing of animal movement data. Hosted by the Max Planck Institute for Animal Behavior. http:\/\/www.movebank.org. Last accessed 07 Jan 21"},{"issue":"3","key":"746_CR59","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1111\/cgf.13431","volume":"37","author":"Y Yang","year":"2018","unstructured":"Yang Y, Jenny B, Dwyer T, Marriott K, Chen H, Cordeil M (2018) Maps and globes in virtual reality. Comput Graph Forum 37(3):427\u2013438. https:\/\/doi.org\/10.1111\/cgf.13431","journal-title":"Comput Graph Forum"},{"key":"746_CR60","doi-asserted-by":"publisher","unstructured":"Zhang MJ, Li J, Zhang K (2016) An immersive approach to the visual exploration of geospatial network datasets. In: Proc. 15th ACM SIGGRAPH conference on virtual-reality continuum and its applications in industry\u2014volume 1, ACM, VRCAI \u201916, pp 381\u2013390. https:\/\/doi.org\/10.1145\/3013971.3013983","DOI":"10.1145\/3013971.3013983"},{"issue":"3","key":"746_CR61","doi-asserted-by":"publisher","first-page":"29:1","DOI":"10.1145\/2743025","volume":"6","author":"Y Zheng","year":"2015","unstructured":"Zheng Y (2015) Trajectory data mining: an overview. ACM Trans Intell Syst Technol 6(3):29:1-29:41. https:\/\/doi.org\/10.1145\/2743025","journal-title":"ACM Trans Intell Syst Technol"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-021-00746-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-021-00746-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-021-00746-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,25]],"date-time":"2024-08-25T15:06:04Z","timestamp":1724598364000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-021-00746-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,7]]},"references-count":61,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["746"],"URL":"https:\/\/doi.org\/10.1007\/s12650-021-00746-2","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"type":"print","value":"1343-8875"},{"type":"electronic","value":"1875-8975"}],"subject":[],"published":{"date-parts":[[2021,3,7]]},"assertion":[{"value":"29 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 January 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}