At the successful completion of this lesson, you should be able to:
Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.
If you have any questions about course mechanics, where to do something, or how to do something, feel free to send us a message in Canvas at any time.
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 [1] discussion forum:
When you have finished reviewing the two articles of your choosing, then respond to the following questions:
***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 [2]. International journal of geographical information science, 21(8):839-857. https://www.tandfonline.com/doi/full/10.1080/13658810701349011 [2]
Andrienko, Gennady, Natalia Andrienko, Jason Dykes, Menno Jan Kraak, Anthony Robinson, and Heidrun Schumann. (2016). GeoVisual analytics: interactivity, dynamics, and scale. [3] Cartography and geographic information science, 43(1):1-2. https://doi.org/10.1080/15230406.2016.1095006 [4]
Çöltekin, A., Christophe, S., Robinson, A., & Demšar, U. (2019). Designing geovisual analytics environments and displays with humans in mind [5]. ISPRS International Journal of Geo-Information, 8(12):572. https://doi.org/10.3390/ijgi8120572 [6]
García‐Chapeton, G. A., Ostermann, F. O., de By, R. A., & Kraak, M. J. (2018). Enabling collaborative GeoVisual analytics: Systems, techniques, and research challenges [7]. Transactions in GIS, 22(3), 640-663. https://doi.org/10.1111/tgis.12344 [8]
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 [9], International Journal of Digital Earth, 16(1):1395-1417, https://doi.org/10.1080/17538947.2023.2197262 [9]
Li, Z., Tang, W., Huang, Q., Shook, E., & Guan, Q. (2020). Introduction to big data computing for geospatial applications [10]. ISPRS International Journal of Geo-Information, 9(8):487. https://doi.org/10.3390/ijgi9080487 [10]
MacEachren, Alan M. (2017). Leveraging Big (Geo) Data with (Geo) Visual Analytics: Place as the Next Frontier. [11] 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. [12]" In 25th International Cartographic Conference, pp. 3-8.
Nelson, J. K. (2023). Cartography & geovisual analytics in personal contexts: designing for the data creator [13]. International Journal of Cartography, 1-21. https://doi.org/10.1080/23729333.2023.2189431 [14]
Popelka, S., Herman, L., Řezník, T., Pařilová, M., Jedlička, K., Bouchal, J., ... & Charvát, K. (2019). User evaluation of map-based visual analytic tools [15]. ISPRS International Journal of Geo-Information, 8(8):363. https://doi.org/10.3390/ijgi8080363 [15]
Robinson, A. (2017). Geovisual analytics [16]. The Geographic Information Science & Technology Body of Knowledge (3rd Quarter 2017 Edition), edited by John P. Wilson. UCGIS. https://doi [17]. 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 [18]. Cartography and Geographic Information Science, 44(3):216-228. https://www.tandfonline.com/doi/full/10.1080/15230406.2016.1139467 [18]
Robinson, A. C., Anderson, C. L., & Quinn, S. D. (2020). Evaluating geovisualization for spatial learning analytics [19]. International Journal of Cartography, 6(3):331-349. https://doi.org/10.1080/23729333.2020.1735034 [20]
Savelyev, A., & MacEachren, A. M. (2020). Advancing the theory and practice of system evaluation: a case study in geovisual analytics of social media [21]. International Journal of Cartography, 6(2):202-221. https://doi.org/10.1080/23729333.2019.1637488 [22]
Schiewe, J. (2021). The need for disciplinarity, interdisciplinarity and scientific societies-the cartographic perspective [23]. Geo-spatial Information Science, 24(1):160-166. https://doi.org/10.1080/10095020.2020.1863748 [24]
Singhal, M. (2021). Study of Advances and Challenges in Geovisual Analytics [25]. 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. [26]" 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 [27]. Annals of GIS, 28(2):197-212. https://doi.org/10.1080/19475683.2022.2027012 [28]
Below are other resources that may be helpful to you during this course.
International Cartographic Association's Commission on
- GeoVisualization [29]
- Visual Analytics [30]
- Visual Analytics News Feed [31]
Web Portal for GeoSpatial Visual Analytics [32]
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 [33]. 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 [34]. In Proceedings of the International Conference on Smart Data Intelligence (ICSMDI 2021). http://dx.doi.org/10.2139/ssrn.3851235 [35]
Pászto, V., Burian, J., & Macku, K. (2020). Covid-19 data sources: evaluation of map applications and analysis of behavior changes in Europe’s population [36]. Geografie, 125(2):171-209. https://doi.org/10.37040/geografie2020125020171 [37]
Pezanowski, S., Mitra, P., & MacEachren, A. M. (2022). Exploring descriptions of movement through geovisual analytics [38]. KN-Journal of Cartography and Geographic Information, 72(1):5-27. https://link.springer.com/article/10.1007/s42489-022-00098-3 [38]
Thakur, G., Sparks, K., Berres, A., Tansakul, V., Chinthavali, S., Whitehead, M., ... & Cranfill, E. (2020, November). COVID-19 joint pandemic modeling and analysis platform [39]. 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 [40]
Wei, X., Wang, M., & Kraak, M. J. (2020). Where we are in fighting against COVID-19 [41]. Environment and Planning A: Economy and Space, 0308518X2093151. https://dx.doi.org/10.1177/0308518X20931515 [42]
For this course, you will be drafting a response to a request for proposal (RFP) from a non-profit called Healing the Health of Humanity International H3I who is interested in assisting allocation of funds for COVID-19 relief. You will be divided into teams, where each team creates a fictional organization that will respond to the RFP. Before you create the organization's business profile and draft the response to the RFP by H3I, the team will need to assign the following roles:
Responsibilities include (but are not limited to):
Responsibilities include (but are not limited to):
Responsibilities include (but are not limited to):
Responsibilities include (but are not limited to):
It is crucial for this project that you communicate with the other members of your team. Canvas has functionality that will allow you to share resources and information, and even meet online. Your team has its own workspace within Canvas [43] where you can:
By clicking on Teams in the Canvas menu [47], you can access your team workspace. This space is unique to your team. We will be able to see what is happening in the team, but other teams will not. Use the discussion forums and conferences to meet and discuss/delegate tasks.
The focus of our course is the use of geovisual analytics to analyze patterns in COVID-19 data. It is important, however, to remember that behind all of those numbers lie millions and millions of human stories. For the past several years (and still ongoing), millions and millions of people across the world faced an uncertain, and often dangerous, future.
We encourage you to regularly take some time to connect with some of these stories. We will highlight, over the next couple of weeks, some stories about some of the real people behind the data.
This web page [48], created by the World Health Organization, was developed to share some of the stories of the millions of individuals who were directly or indirectly affected by some aspects of COVID-19. Start this week by selecting a couple of stories to connect with the people who are part of the lasting effects of the pandemic.
Assignment
Search the web for additional articles or videos that you find to be particularly moving or inspiring. Please share them with the rest of our group in the COVID-19 Stories Discussion in the Lesson 1 Module in Canvas. Please make sure that you have shared something to this discussion forum by the end of Lesson 2.
Links
[1] https://psu.instructure.com/courses/2249664/modules/items/38002223
[2] https://www.tandfonline.com/doi/full/10.1080/13658810701349011
[3] https://www.e-education.psu.edu/geog597g/sites/www.e-education.psu.edu.geog597g/files/Files/Lesson_1/GeoVisual%20analytics%20interactivity%20dynamics%20and%20scale%20Gennady%20Andrienko%20Natalia%20Andrienko%20et%20at%20CaGIS%202016.pdf
[4] https://doi.org/10.1080/15230406.2016.1095006
[5] http://https://doi.org/10.3390/ijgi8120572
[6] https://doi.org/10.3390/ijgi8120572
[7] https://onlinelibrary.wiley.com/doi/10.1111/tgis.12344
[8] https://doi.org/10.1111/tgis.12344
[9] https://doi.org/10.1080/17538947.2023.2197262
[10] https://doi.org/10.3390/ijgi9080487
[11] https://www.e-education.psu.edu/geog597g/sites/www.e-education.psu.edu.geog597g/files/Files/Lesson_1/Leveraging%20Big%20%28Geo%29%20Data%20with%20%28Geo%29%20Visual%20Analytics%20Place%20as%20the%20next%20Frontier%20Alan%20MacEachren%202017.pdf
[12] https://www.e-education.psu.edu/geog597g/sites/www.e-education.psu.edu.geog597g/files/Files/Lesson_2/Geo-twitter%20analytics%20Applications%20in%20crisis%20management%20Alan%20MacEachren%20et%20al%20International%20Cartographic%20Conference%202011.pdf
[13] https://www.tandfonline.com/doi/full/10.1080/23729333.2023.2189431
[14] https://doi.org/10.1080/23729333.2023.2189431
[15] https://doi.org/10.3390/ijgi8080363
[16] http://gistbok.ucgis.org/bok-topics/geovisual-analytics
[17] https://doi
[18] https://www.tandfonline.com/doi/full/10.1080/15230406.2016.1139467
[19] https://www.tandfonline.com/doi/abs/10.1080/23729333.2020.1735034?journalCode=tica20
[20] https://doi.org/10.1080/23729333.2020.1735034
[21] https://www.tandfonline.com/doi/full/10.1080/23729333.2019.1637488
[22] https://doi.org/10.1080/23729333.2019.1637488
[23] https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1863748
[24] https://doi.org/10.1080/10095020.2020.1863748
[25] https://d1wqtxts1xzle7.cloudfront.net/42139261/STUDY_OF_ADVANCES_AND_CHALLENGES_IN_GEOVISUAL_ANALYTICS-libre.pdf?1454676080=&response-content-disposition=inline%3B+filename%3DSTUDY_OF_ADVANCES_AND_CHALLENGES_IN_GEOV.pdf&Expires=1681154149&Signature=QBZyp-sKPR2DTQpKjln0lpPlW8PinMf7TTj0o7IVLSX-LHLg5b2k4N4H9S2wRikcDyJ~sLLow~~eY4yrQ3pKYLn~4keWRavEyngBnRp~srvmdrTQ3WHCOuwjmijQG3jADtyleDhXm5mvByp0-jXsmn5jceqqewUqw23TkxKcXnY7gzaAfsK68avVtgpZB0cPduJe9NtJq92gFR8NNXGJRfk1NvzTbK230ddh534k7q~VA0msnEIW9A3UA0bAjbstn8nlT9me8Xzy3oNPNJcTGhk3EY1PbDhlI1BjkgFeBQhbofcbfbJzWwNsBBtVdnZG0XVKjuRzve9gi9PcrI3u3Q__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
[26] https://www.e-education.psu.edu/geog597g/sites/www.e-education.psu.edu.geog597g/files/Files/Lesson_2/Mobile_Networks_Visualizing_Global_Refugee_Regime_Sherry_Jrnl_World_Hist_Info_2014.pdf
[27] https://www.tandfonline.com/doi/pdf/10.1080/19475683.2022.2027012
[28] https://doi.org/10.1080/19475683.2022.2027012
[29] http://geoanalytics.net/ica/
[30] http://viz.icaci.org/
[31] https://icaci.org/category/commission-news/commission-on-visual-analytics/
[32] http://geoanalytics.net/
[33] https://arxiv.org/ftp/arxiv/papers/2010/2010.11897.pdf
[34] https://www.researchgate.net/profile/Lakshmi-M-B/publication/351902055_A_Review_of_COVID-19_Outbreak_Analysis_Using_Visual_Analytics_Approach/links/60af130a299bf13438eb9cfc/A-Review-of-COVID-19-Outbreak-Analysis-Using-Visual-Analytics-Approach.pdf
[35] http://dx.doi.org/10.2139/ssrn.3851235
[36] https://www.researchgate.net/profile/Jaroslav-Burian/publication/342072148_COVID-19_data_sources_evaluation_of_map_applications_and_analysis_of_behavior_changes_in_Europe's_population/links/5ee297e8458515814a580ee2/COVID-19-data-sources-evaluation-of-map-applications-and-analysis-of-behavior-changes-in-Europes-population.pdf?_sg%5B0%5D=started_experiment_milestone&origin=journalDetail
[37] https://doi.org/10.37040/geografie2020125020171
[38] https://link.springer.com/article/10.1007/s42489-022-00098-3
[39] https://dl.acm.org/doi/10.1145/3423459.3430760
[40] https://doi.org/10.1145/3423459.3430760
[41] https://journals.sagepub.com/doi/pdf/10.1177/0308518X20931515
[42] https://dx.doi.org/10.1177/0308518X20931515
[43] https://community.canvaslms.com/docs/DOC-10698-4212225748
[44] https://community.canvaslms.com/docs/DOC-10694-421250009
[45] https://community.canvaslms.com/docs/DOC-10671-421255567
[46] https://community.canvaslms.com/docs/DOC-10555-4212119670
[47] https://community.canvaslms.com/docs/DOC-10661-421255565
[48] https://www.who.int/europe/news-room/feature-stories/item/coping-with-the-unknown---a-family-s-story-of-living-with-long-covid