Abstract
Improved visualization techniques for spatiotemporal data have potential to reveal interesting insights from GIS data. Thus, visual analytics has captured the attention of GIS researchers in the recent past. Furthermore, developments in free tools, such as Google Map API and OpenStreetMap, provide easy access to geospatial data that can be leveraged by visual analytics. In this chapter, we propose such a system that utilizes free GIS APIs to visualize spatiotemporal data effectively. Our application allows a user to create a time slide bar control to connect time and position of various GIS objects on a map and to display them in animated mode. This control can handle vector and raster data with equal ease. The resulting effective visualization makes it is very easy to understand some complex spatiotemporal patterns, as exemplified in this chapter.
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References
Andrienko G, Andrienko N, Demšar U (2010) Space, time and visual analytics. Int J Geogr Inf Sci 24(10):1577–1600
Andrienko N, Andrienko G, Gatalsky P (2003) Exploratory spatio-temporal visualization: an analytical review. J Vis Lang Comput 14(6):503–541
Andrienko G, Andrienko N, Jankowski P (2007) Geovisual analytics for spatial decision support: setting the research agenda. Int J Geogr Inf Sci 21(8):839–857
Demšar U, Virrantaus K (2010) Space–time density of trajectories: exploring spatio-temporal patterns in movement data. Int J Geogr Inf Sci 24(10):1527–1542
Google Map JavaScript API (2014) https://developers.google.com/maps/web/. Accessed 10 Mar 2016
Haklay M, Singleton A, Parker C (2008) Web mapping 2.0: the neogeography of the GeoWeb. Geogr Compass 2(6):2011–2039
Harrower M (2003) Tips for designing effective animated maps. Cartogr Perspect 44:63–65
Harrower M (2007) The cognitive limits of animated maps. Cartographica Int J Geogr Inf Geovis 42(4):349–357
Harrower M, Fabrikant S (2008) The role of map animation for geographic visualization. In: Dodge M, McDerby M, Turner M (eds) Geographic visualization: concepts, tools and applications. Wiley, Chichester, pp 49–65
Kobben B, Yaman M (1995) Evaluating dynamic visual variables. In: Teaching animated cartography. Seminar at the Escuela Universitaria de Ingeniera Tecnica Topografica, Madrid, Spain, Aug 30–Sept 1, 1995. http://cartography.geo.uu.nl/ica/Madrid/kobben.html. Accessed 10 Mar 2016
MacEachren A, Jan-Kraak M (2001) Research challenges in geovisualization. Cartogr Geogr Inf Sci 28(1):3–12
Opach T, Gołębiowska I, Fabrikant SI (2013) How do people view multi-component animated maps? Cartogr J 51(4):330–342
Sarkar D, Chapman C, Griffin L, Sengupta R (2015) Analyzing animal movement characteristics from location data. Trans GIS 19(4):516–534
Shipley T, Fabrikant SI, Lautenschiitz AK (2013) Creating perceptually salient animated displays of spatiotemporal coordination. In: Raubal M, Mark DM, Frank AU (eds) Cognitive and linguistic aspects of geographic space: new perspectives on geographic information research. Springer, Berlin, pp 259–270
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Yadav, P., Deshpande, S., Sengupta, R. (2017). Animating Maps: Visual Analytics Meets GeoWeb 2.0. In: Griffith, D., Chun, Y., Dean, D. (eds) Advances in Geocomputation. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-22786-3_8
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DOI: https://doi.org/10.1007/978-3-319-22786-3_8
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