Geospatial big data and cartography : research challenges and opportunities for making maps that matter

Article English OPEN
Robinson, Anthony C. ; Demsar, Urska ; Moore, Antoni B. ; Buckley, Aileen ; Jiang, Bin ; Field, Kenneth ; Kraak, Menno-Jan ; Camboim, Silvana P ; Sluter, Claudia R (2017)
  • Related identifiers: doi: 10.1080/23729333.2016.1278151
  • Subject: Geovisualization | Visual analytics | GA Mathematical geography. Cartography | GA | Cartography | Big data | Research agenda | T-NDAS

Geospatial big data present a new set of challenges and opportunities for cartographic researchers in technical, methodological, and artistic realms. New computational and technical paradigms for cartography are accompanying the rise of geospatial big data. Additionally, the art and science of cartography needs to focus its contemporary efforts on work that connects to outside disciplines and is grounded in problems that are important to humankind and its sustainability. Following the development of position papers and a collaborative workshop to craft consensus around key topics, this article presents a new cartographic research agenda focused on making maps that matter using geospatial big data. This agenda provides both long-term challenges that require significant attention as well as short-term opportunities that we believe could be addressed in more concentrated studies. Postprint Peer reviewed
  • References (146)
    146 references, page 1 of 15

    Aggarwal, C. C. (Ed.) (2011). Social network data analytics. New York, NY: Springer US.

    Agrawal, D., Bernstein, P., Bertino, E., Davidson, S., Dayal, U., Franklin, M., … Widom, J. (2012). Challenges and opportunities with big data: A community white paper developed by leading researchers across the United States. Retrieved from http://cra.org/ccc/wp-content/uploads/sites/2/2015/ 05/bigdatawhitepaper.pdf.

    Alexander, C. (2002). Book 1 - the phenomenon of life. Berkeley, CA: Center for Environmental Structure.

    Andrienko, G., & Andrienko, N. (1999). Interactive maps for visual data exploration. International Journal of Geographical Information Science, 13(4), 355-374.

    Andrienko, G., & Andrienko, N. (2007). Coordinated multiple views: A critical view. Zurich: Coordinated & Multiple Views in Exploratory Visualization.

    Andrienko, G., Andrienko, N., Demsar, U., Dransch, D., Dykes, J., Fabrikant, S. I., … Tominski, C. (2010). Space, time and visual analytics. International Journal of Geographical Information Science, 24(10), 1577-1600.

    Andrienko, G., Andrienko, N., Dykes, J., Kraak, M. J., Robinson, A., & Schumann, H. (2016). GeoVisual analytics: Interactivity, dynamics, and scale. Cartography and Geographic Information Science, 43 (1), 1-2. doi:10.1080/15230406.2016.1095006

    Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M.-J., MacEachren, A. M., & Wrobel, S. (2007). Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science, 21(8), 839-857.

    Andrienko, G. L., Andrienko, N. V., Voss, H., Bernardo, F., Hipolito, J., & Kretchmer, U. (2002). Testing the usability of interactive maps in CommonGIS. Cartography and Geographic Information Science, 29 (4), 325-342.

    Andrienko, N., & Andrienko, G. (2011). Spatial generalization and aggregation of massive movement data. IEEE Transactions on Visualization and Computer Graphics, 17(2), 205-219.

  • Related Research Results (1)
  • Metrics
    0
    views in OpenAIRE
    0
    views in local repository
    18
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    St Andrews Research Repository - IRUS-UK 0 18
Share - Bookmark