PrintSelected Introductory Readings in Geovisual Analytics
Begin to familiarize yourself with geovisual analytics: what it is, how is it different than cartography, GIS, spatial data science, or geographic visualization, and how it has been applied to health-realated data.
Below is a listing of several readings that highlight some of these issues. At a minimum, please read at least two (2) articles from the list. When you have finished reading the articles of your choice respond to the following questions in the Introductory Geovisual Analytics Readings Discussion discussion forum:
When you have finished reviewing the two articles of your choosing, then respond to the following questions:
- In your own words, explain what geovisual analytics means to you and how this method lends itself to representing/investigating spatial data patterns.
- What distinguishes geovisual analytics from cartography, GIS, spatial data science, and geovisualization?
- In your own words, explain some of the more problematic issues with geovisual analytics.
***Make sure you are logged into your PSU account to access these articles***
Of course, you are encouraged to perform your own search to locate other readings related to this topic on your own. If you find other readings you can share them with the class in the Lesson 1 discussion forum.
Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M. J., MacEachren, A., & Wrobel, S. (2007). Geovisual analytics for spatial decision support: Setting the research agenda. International journal of geographical information science, 21(8):839-857. https://www.tandfonline.com/doi/full/10.1080/13658810701349011
Andrienko, Gennady, Natalia Andrienko, Jason Dykes, Menno Jan Kraak, Anthony Robinson, and Heidrun Schumann. (2016). GeoVisual analytics: interactivity, dynamics, and scale. Cartography and geographic information science, 43(1):1-2. https://doi.org/10.1080/15230406.2016.1095006
Çöltekin, A., Christophe, S., Robinson, A., & Demšar, U. (2019). Designing geovisual analytics environments and displays with humans in mind. ISPRS International Journal of Geo-Information, 8(12):572. https://doi.org/10.3390/ijgi8120572
García‐Chapeton, G. A., Ostermann, F. O., de By, R. A., & Kraak, M. J. (2018). Enabling collaborative GeoVisual analytics: Systems, techniques, and research challenges. Transactions in GIS, 22(3), 640-663. https://doi.org/10.1111/tgis.12344
Gołębiowska, Izabela , Opach, Tomasz, Çöltekin, Arzu , Korycka-Skorupa, Jolanta and Ketil Rød Jan. (2023). Legends of the dashboard: an empirical evaluation of split and joint layout designs for geovisual analytics interfaces, International Journal of Digital Earth, 16(1):1395-1417, https://doi.org/10.1080/17538947.2023.2197262
Li, Z., Tang, W., Huang, Q., Shook, E., & Guan, Q. (2020). Introduction to big data computing for geospatial applications. ISPRS International Journal of Geo-Information, 9(8):487. https://doi.org/10.3390/ijgi9080487
MacEachren, Alan M. (2017). Leveraging Big (Geo) Data with (Geo) Visual Analytics: Place as the Next Frontier. In Spatial Data Handling in Big Data Era, pp. 139-155. Springer, Singapore.
MacEachren, Alan M., Anthony C. Robinson, Anuj Jaiswal, Scott Pezanowski, Alexander Savelyev, Justine Blanford, and Prasenjit Mitra. (2011). "Geo-twitter analytics: Applications in crisis management." In 25th International Cartographic Conference, pp. 3-8.
Nelson, J. K. (2023). Cartography & geovisual analytics in personal contexts: designing for the data creator. International Journal of Cartography, 1-21. https://doi.org/10.1080/23729333.2023.2189431
Popelka, S., Herman, L., Řezník, T., Pařilová, M., Jedlička, K., Bouchal, J., ... & Charvát, K. (2019). User evaluation of map-based visual analytic tools. ISPRS International Journal of Geo-Information, 8(8):363. https://doi.org/10.3390/ijgi8080363
Robinson, A. (2017). Geovisual analytics. The Geographic Information Science & Technology Body of Knowledge (3rd Quarter 2017 Edition), edited by John P. Wilson. UCGIS. https://doi. org/10.22224/gistbok/2017.3.6
Robinson, A. C., Peuquet, D. J., Pezanowski, S., Hardisty, F. A., & Swedberg, B. (2017). Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data. Cartography and Geographic Information Science, 44(3):216-228. https://www.tandfonline.com/doi/full/10.1080/15230406.2016.1139467
Robinson, A. C., Anderson, C. L., & Quinn, S. D. (2020). Evaluating geovisualization for spatial learning analytics. International Journal of Cartography, 6(3):331-349. https://doi.org/10.1080/23729333.2020.1735034
Savelyev, A., & MacEachren, A. M. (2020). Advancing the theory and practice of system evaluation: a case study in geovisual analytics of social media. International Journal of Cartography, 6(2):202-221. https://doi.org/10.1080/23729333.2019.1637488
Schiewe, J. (2021). The need for disciplinarity, interdisciplinarity and scientific societies-the cartographic perspective. Geo-spatial Information Science, 24(1):160-166. https://doi.org/10.1080/10095020.2020.1863748
Singhal, M. (2021). Study of Advances and Challenges in Geovisual Analytics. Soft Computing. 3(14):52-55.
Van Ho, Quan, Patrik Lundblad, Tobias Åström, and Mikael Jern. (2012). "A web-enabled visualization toolkit for geovisual analytics." Information Visualization, 11(1): 22-42.
Zuo, C., Ding, L., Yang, Z., & Meng, L. (2022). Multiscale geovisual analysis of knowledge innovation patterns using big scholarly data. Annals of GIS, 28(2):197-212. https://doi.org/10.1080/19475683.2022.2027012
Below are other resources that may be helpful to you during this course.
Geovisual Analytics Online Resources
International Cartographic Association's Commission on
- GeoVisualization
- Visual Analytics
- Visual Analytics News Feed
Web Portal for GeoSpatial Visual Analytics
Readings on Geovisual Analytics and Covid-19
Afzal, S., Ghani, S., Jenkins-Smith, H. C., Ebert, D. S., Hadwiger, M., & Hoteit, I. (2020, October). A visual analytics based decision making environment for COVID-19 modeling and visualization. In 2020 IEEE Visualization Conference (VIS) (pp. 86-90). IEEE.
MB, L., Joseph, R. B., Sunder, R., & Rajeswari, M. (2021, May). A Review of COVID-19 Outbreak Analysis Using Visual Analytics Approach. In Proceedings of the International Conference on Smart Data Intelligence (ICSMDI 2021). http://dx.doi.org/10.2139/ssrn.3851235
Pászto, V., Burian, J., & Macku, K. (2020). Covid-19 data sources: evaluation of map applications and analysis of behavior changes in Europe’s population. Geografie, 125(2):171-209. https://doi.org/10.37040/geografie2020125020171
Pezanowski, S., Mitra, P., & MacEachren, A. M. (2022). Exploring descriptions of movement through geovisual analytics. KN-Journal of Cartography and Geographic Information, 72(1):5-27. https://link.springer.com/article/10.1007/s42489-022-00098-3
Thakur, G., Sparks, K., Berres, A., Tansakul, V., Chinthavali, S., Whitehead, M., ... & Cranfill, E. (2020, November). COVID-19 joint pandemic modeling and analysis platform. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 (pp. 43-52). https://doi.org/10.1145/3423459.3430760
Wei, X., Wang, M., & Kraak, M. J. (2020). Where we are in fighting against COVID-19. Environment and Planning A: Economy and Space, 0308518X2093151. https://dx.doi.org/10.1177/0308518X20931515