Introduction to the special section on Visual Movement Analytics

Thomas JJ Cook KA. Illuminating the path: the research and development agenda for visual analytics. Los Alamitos, CA: IEEE Computer Society, 2005.

Andrienko N Lammarsch T Andrienko G et al . Viewing visual analytics as model building. Comput Graph Forum 2018; 37(6): 275–299.

Beecham R Wood J. Characterising group-cycling journeys using interactive graphics. Transp Res Part C Emerg Tech 2014; 47: 194–206.

Verbeek K Buchin K Speckmann B. Flow map layout via spiral trees. IEEE T Vis Comput Gr 2011; 17(12): 2536–2544.

Xiao N Chun Y. Visualizing migration flows using kriskograms. Cartogr Geogr Inf Sci 2009; 36(2): 183–191.

Andrienko G Andrienko N Fuchs G et al . Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data. IEEE T Vis Comput Gr 2017; 23(9): 2120–2136.

LaZerte SE Reudink MW Otter KA et al . feedr and animalnexus.ca: a paired R package and user-friendly web application for transforming and visualizing animal movement data from static stations. Ecol Evol 2017; 7: 7884–7896.

Papastamatiou YP Watanabe YY Demšar U et al . Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming. Mov Ecol 2018; 6: 9.

Guo D. Visual analytics of spatial interaction patterns for pandemic decision support. Int J Geogr Inf Sci 2007; 21(8): 859–877.

Guo D. Flow mapping and multivariate visualization of large spatial interaction data. IEEE T Vis Comput Gr 2009; 15(6): 1041–1048.

Stein M Janetzko H Lamprecht A et al . Bring it to the pitch: combining video and movement data to enhance team sport analysis. IEEE T Vis Comput Gr 2018; 24(1): 13–22.

Pileggi H Stolper CD Boyle JM et al . SnapShot: visualization to propel ice hockey analytics. IEEE T Vis Comput Gr 2012; 18(12): 2819–2828.

Slingsby A Van Loon EE. Exploratory visual analysis for animal movement ecology. Comput Graph Forum 2016; 35(3): 471–480.

Slingsby A Van Loon EE . Characterisation of temporal occupancy for movement ecology. In: Proceedings of the Workshop on Visualisation in Environmental Sciences (EnvirVis), Barcelona, 12–13 June 2017.

Slingsby A van Loon EE . Temporal tile-maps for characterising the temporal occupancy of places: a seabird case study. In: Proceedings of the Geographical Information Science Research UK Conference (GISRUK 2017). Manchester, 18–21 April 2017.

Xavier G Dodge S . An exploratory visualization tool for mapping the relationships between animal movement and the environment. In: Proceedings of ACM MapInteract’14, 4–7 November 2014, Dallas/Fort Worth, TX. New York: ACM.

Dodge S Xavier G Wong WY. DynamoVis: dynamic visualization of animal movement data. 2018. Available at: https://dx.doi.org/10.13020/D6PH49

Konzack M McKetterick T Ophelders T et al . Visual analytics of delays and interaction in movement data. Int J Geogr Inf Sci 2017; 31(2): 320–345.

Andrienko G Andrienko N Chen W et al . Visual analytics of mobility and transportation: state of the art and further research directions. IEEE T Intell Transp 2017; 18(8): 2232–2249.

Graser A Widhalm P. Modelling massive AIS streams with quad trees and Gaussian mixtures. In: Proceedings of AGILE 2018, Lund, 12–15 June 2018.

Tracey JA Sheppard JK Zhu J et al . Movement-based estimation and visualization of space use in 3D for wildlife ecology and conservation. PLoS ONE 2014; 9(7): e101205.

Demsar U Long JA. Time-geography in four dimensions: potential path volumes around 3D trajectories. In: Proceedings of GIScience 2016, Montreal, QC, Canada, 27–30 September 2016.

Ferrarini A Giglio G Pellegrino SP et al . A new methodology for computing birds’ 3D home ranges. Avian Res 2018; 9: 19

Ramamurthy SR Roy N. Recent trends in machine learning for human activity recognition: a survey. Wires Data Min Knowl Discov 2018; 8: e1254.

Williams H Holton MD Shepard ELC et al . Identification of animal movement patterns using tri-axial magnetometry. Mov Ecol 2017; 5: 6.

Stienen E Desmet P Aelterman B et al . GPS tracking data of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast. Zookeys 2016; 555: 115–124.

Konzack M Gijsbers P Timmers F et al . Visual exploration of migration patterns in gull data. Infor Vis 2019; 18(1): 138–152.

Sedlmair M Meyer M Munzner T. Design study methodology: reflections from the trenches and the stacks. IEEE T Vis Comput Gr 2012; 18(12): 2431–2440.

Graser A Schmidt J Roth F et al . Untangling origin-destination flows in geographic information systems. Infor Vis 2019; 18(1) 153–172.

Wood J Dykes J Slingsby A. Visualisation of origins, destinations and flows with OD maps. Cartogr J 2010; 47(2): 117–129.

Lochhead IM Hedley N. Modeling evacuation in institutional space: linking three-dimensional data capture, simulation, analysis, and visualization workflows for risk assessment and communication. Infor Vis 2019; 18(1): 173�192.

Walker JS Jones MW Laramee RS et al . TimeClassifier: a visual analytic system for the classification of multi-dimensional time series data. Vis Comput 2015; 31: 1067–1078.

Robinson AC Demšar U Moore AB et al . Geospatial big data and cartography: research challenges and opportunities for making maps that matter. Int J Cartogr 2017; 3(1): 32–60.

Li S Dragicevic S Castro FA et al . Geospatial big data handling theory and methods: a review and research challenges. ISPRS J Photogramm Remote Sens 2016; 115: 119–133.

Hampton SE Anderson SS Bagby SC et al . The Tao of open science for ecology. Ecosphere 2015; 6(7): 120.

Long JA Weibel R Dodge S et al . Moving ahead with computational movement analysis. Int J Geogr Inf Sci 2018; 32(7): 1275–1281.