Challenges in Global Geospatial Analytics

Challenges in Global Geospatial Analytics

Quick Facts

What will be expected of you?

This course follows a blended learning environment. The first two weeks of the course feature collaborative learning at a distance. Penn State students will spend those weeks engaged in problem-solving activities via an online presence. The next two weeks feature Penn State students traveling to Enschede, Netherlands to spend time in an immersive environment collaborating with TU Wein students. The first week will be spent collaborating with graduate students at TU Wein while the second week will involve traveling to national mapping agencies of the EU. Following this two-week travel abroad, Penn State students will return to their respective homes and further develop the capstone deliverable in both written and video format.

Course Objectives

At the successful completion of this course, you should be able to:

  • independently develop a workable solution to a geospatial problem
  • work with a large geospatial database
  • integrate powerful visualization and computational tools (such as Geospatial Analytics) to help provide a solution
  • synchronously and asynchronously collaborate with peers to provide feedback and listen to critiques
  • formally present a solution to a large-scale geospatial problem

Want to join us? Students who register for this Penn State course gain access to assignments and instructor feedback and earn academic credit. For more information, visit Penn State's Online Geospatial Education Program website. Official course descriptions and curricular details can be reviewed in the University Bulletin.

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Orientation Week: Introductory Readings, Data Gathering, and Proposal Development and Travel to TU Wein Vienna , Austria

Orientation Week: Introductory Readings, Data Gathering, and Proposal Development and Travel to TU Wein Vienna , Austria dxb45

Overview

Overview

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • read current research articles that discuss the uniqueness of geovisual analytics
  • differentiate dinstinguishing characteristics between geovisual analytics and other spatial tools and methods like GIS and cartography
  • describe how geovisual analytics could be applied to a variety of data sets

Lesson Roadmap

Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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. 

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Introductory Readings in Geovisual Analytics

Introductory Readings in Geovisual Analytics

Selected 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 agendaInternational 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 mindISPRS 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 challengesTransactions 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 applicationsISPRS 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 creatorInternational 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 toolsISPRS International Journal of Geo-Information, 8(8):363. https://doi.org/10.3390/ijgi8080363

Robinson, A. (2017). Geovisual analyticsThe 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 dataCartography 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 analyticsInternational 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 mediaInternational 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 perspectiveGeo-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 AnalyticsSoft 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 dataAnnals 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

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 populationGeografie, 125(2):171-209. https://doi.org/10.37040/geografie2020125020171 

Pezanowski, S., Mitra, P., & MacEachren, A. M. (2022). Exploring descriptions of movement through geovisual analyticsKN-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-19Environment and Planning A: Economy and Space, 0308518X2093151. https://dx.doi.org/10.1177/0308518X20931515

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Assign Leadership Roles for Group Members

Assign Leadership Roles for Group Members

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:

(1) Project Manager

Responsibilities include (but are not limited to):

  • organizing workflow;
  • assigning tasks;
  • liaisoning with other team leaders;
  • reporting results; and
  • interfacing with the project management software.

(2) Coder/Developer

Responsibilities include (but are not limited to):

  • handling the research, development, and implementation of software (or software concept) for the COVID-19 data.

(3) Designer-Researcher

Responsibilities include (but are not limited to):

  • assist in designing the interface;
  • consider appropriate usability studies;
  • compiling information from the project management software and formalizing it into a report for distribution; and
  • disseminating updates to social media.

(4) Financial Officer

Responsibilities include (but are not limited to):

  • consult with other members to determine work-hour needs;
  • plan for software and other technology project costs;
  • develop a budget for expenditure of H3I funds.

Collaborating With Your Team

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 where you can:

By clicking on Teams in the Canvas menu, 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.

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COVID-19 Stories

COVID-19 Stories

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.

WHO Stories

This web page, 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.

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Week 1: Week at TU Wein, Austria and Travel to Slovenia and Germany

Week 1: Week at TU Wein, Austria and Travel to Slovenia and Germany dxb45

Overview

Overview

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • discuss alternative approaches to a solution to the problem with TU Wein students
  • share and reflect upon how different cultures approach a solution to the problem
  • deliver mini-presentation on proposed solution
  • provide peer feedback on proposed solution

Travel Reminder

The first part of this week, you will spend at TU Wein in Vienna, Austria collaborating with TU Wein students. Then, the second part of the week you will visit other cities.

Lesson Roadmap

Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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 (or  - this week - talk to us in person!). Yea!

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Week in TU, Wein Austria: Sunday, May 7 – Friday, May 12

Week in TU, Wein Austria: Sunday, May 7 – Friday, May 12

Please note: the following schedule is subject to change.

Saturday, May 6

Morning - Evening:

  • Students and faculty depart from their homes on flights to Vienna, Austria

Sunday, May 7

Morning - Afternoon:

  • Students and faculty arrive in Vienna, Austria and travel to the hotel (Hotel Henri Vienna)
  • Welcome dinner 

Monday, May 8

Morning - Afternoon:

  • Kick off meeting
  • Meet TU Wein students and faculty for a day-long workshop
  • Discuss the scope of and plan for the week’s activities
  • TU faculty research presentations
  • PSU faculty research presentations

Evening:

  • Group dinner hosted by TU Wien

Tuesday, May 9

Morning:

  • Question/Answer session
  • Assign tasks and deadlines for each group member in project management software
  • Group work

Afternoon:

  • Begin group work on project
  • Outline tasks to be accomplished this week
  • Post an update on social media (Facebook) on group work progress
  • File a report to the instructor on what each group’s goals are for the week
  • Visit the Globe Museum

Evening: 

  • Free time to work on group project

Wednesday, May 10

Morning:

  • Continue group work
  • Visit research labs at TU Wien

Afternoon:

  • Continue group work
  • Assess task completeness on each group member in project management software

Evening: 

  • Free time to work on group project

Thursday, May 11

Morning: 

  • Continue group work

Afternoon: 

  • Group presentations on project progress
  • Peer-review of presentations
  • Assess task completeness on each group member in project management software

Evening: 

  • Free time 

Friday, May 12

Morning:

  • Travel by coach to Ljubljana, Slovenia

Afternoon: 

  • Walk around Ljubljana

Evening:

  • Free time
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Download COVID-19 Data

Download COVID-19 Data

Part of this class requires you to select data related to some aspect of COVID-19. This data can include cases, deaths, vaccine status, etc. The specific data set of choice is compltely up to you and the organization from which you download the data is of your choosing. However, the goal of this project is to think about how to leverage geovisual analytics to visualize some spatial aspect of COVID-19. The results of that investigation will be used to make a formal response to Healing the Health of Humanity International (H3I). H3I is a gloablly-based non-profit, non-denominational, apolitical, and non-governmental organization whose mission is to heal humanity. This formal response will present geovisual solutions on how H3I can best allocate funds to help direct COVID-19 relief measures. 

While you are free to find COVID-19 data on your own we have compiled the list below of data resources that you may find helpful for this course. As mentioned on this web page, this is not an exahustive listing of COVID-19 data sources but should be enough to get you started on finding useful data. Once you have identified appropriate data, download it and begin examining its contents.

This is a listing of various organizations that include download portals for COVID-19 data. No attempt has been made in curating this list in terms of an agency's authority, accuracy, or timeliness in collecting, updated, or releasing any of the COVID-19 data. An agency's inclusion in this list does not warrant endorsement of any kind with respect to this class or its assignments. Get to know the data before using it. There are dozens of other data download portals that were not included in this list.

The data sources are presented geographically.

1. United States of America 

Centers for Disease Prevention and Control COVID-19 Resources
COVID-19 Data Tracker
General COVID-19 Web Site
COVID-19 Public Data Sets
Case Surveillance Public Use Data

HealthData.gov
Health Data Covid-19 dashboard 

U.S. Veterans Administration Covid-19 National Summary
VA COVID-19 Dashboard 

2. Other Countries 
Many countries have their own Covid-19 dashboard and download sites.

Canada
Canada's COVID-19 Web Site

EU Countries
Other EU Countries Dashboards

3. Regional 

European CDC (Eurostat)
Europa COVID-19 Data 
Europa COVID-19 Database 

4. Global 

Data World
Data World COVID-19 Resources 

Google COVID-19 Open Data
Google COVID-19 Dashboard

Humanitarian Data Exchange
HDX COVID-19 Dashboard

Johns Hopkins
COVID-19 Dashboard

NY Times
NY Times COVID-19 Dashboard

Our World in Data
Our World in Data COVID-19 Dashboard

World Health Organization
COVID-19 Data Download
General COVID-19 Landing Page
COVID-19 Dashboard

5. Miscellaneous 

Other COVID-19 Data Sources
Tableau's COVID-19 Resources 

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Week 2: Travel to Germany, Czech Republic, and Return Home

Week 2: Travel to Germany, Czech Republic, and Return Home dxb45

Overview

Overview

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • locate an example of an online geovisual analytics software that relates to health focused data
  • discuss ways to evaluate the user experience of interacting with a geovisual analytic software
  • describe a national mapping agency's solutions to their country’s national mapping needs

Travel Reminder

For this week, you will travel to different national mapping agencies learning their solutions to their country’s national mapping needs.

Lesson Roadmap

Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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 (or  - this week - talk to us in person!).

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Week Traveling To Slovenia, Austria, Germany, and Czech Republic

Week Traveling To Slovenia, Austria, Germany, and Czech Republic

Please note: the following schedule is subject to change.

Saturday, May 13

Morning:

  • Free time on your own

Afternoon:

  • Travel by coach from Ljubljana, Slovenia to Salzburg, Austria

Evening:

  • Free time on your own

Sunday, May 14

Morning:

  • Planned events and free time

Afternoon:

  • Planned events and free time

Evening:

  • Free time

Monday, May 15

Morning:

  • Travel by coach from Salzburg, Austria to Munich, Germany

Afternoon:

  • Planned events and free time

Evening:

  • Free time

Tuesday, May 16

Morning:

  • Travel by coach from Munich, Germany to Prague, Czech Republic

Afternoon:

  • Planned events and free time

Evening: 

  • Free time

Wednesday, May 17

Morning:

  • Visit the State Administration of Surveying and Cadastre in Prague

Afternoon:

  • Free time

Evening: 

  • Free time

Thursday, May 18

Morning:

  • Free time

Afternoon:

  • Free time

Evening:

  • Free time

Friday, May 19

Morning:

  • Free time

Afternoon:

  • Travel from Prague, Czech Republic to Vienna, Austria

Evening:

  • Farewell dinner (provided)

Saturday, May 20

Morning - Evening:

  • Students and faculty depart Vienna, Austria for their respective destinations
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Geovisual Analytics and Health-Related Organizations

Geovisual Analytics and Health-Related Organizations

The design of a geovisual analytic application requires many considerations. Chief among those considerations is what functions will the application provide and ultimately operate on the data. To that end, the end user must be able to interact with those functions through an intuitive and meaningful interface. Part of any system usability, then, is the overall design. That design in an ongoing process involving the end user. There has been much written about the development cycle related to software applications and their interface design. 

Since part of this class involves the conceptual development of an application there should be some consideration of the interface design, what functions would be available through your application, and how that design would facilitate accessing those functions. This deliverable is designed to get you thinking about designing the interface and how user testing could benefit during the development cycle.

In preparation for this delivarable, please read these articles.

References

Roth, R. E., Ross, K. S., & MacEachren, A. M. (2015). User-centered design for interactive maps: A case study in crime analysisISPRS International Journal of Geo-Information4(1), 262-301. https://www.mdpi.com/2220-9964/4/1/262

Heidi Lam, Enrico Bertini, Petra Isenberg, Catherine Plaisant, Sheelagh Carpendale. (2011). "Seven Guiding Scenarios for Information Visualization Evaluation.” [Research Report] 2011-992-04.

This week, please share your evaluation of a geovisual analytics software. In your post, please respond to the following questions. 

  1. Use the internet and locate a health-related organization or agency that uses geovisual analytics in the presentation and visualization of health-related data. Examine their web site and examine how geovisual analytics has been applied to health-related data. This geovisual analytic software could be a website, an app, or downloadable software. For this task, the geovisual analytic software should be free for use. Once you have located the software, explore its interface and functionality. After you feel comfortable with it, write a concise summary that describes its overall utility and functionality. Include at least two (2) screen captures showing the interface and perhaps a symbolization method. Explain some of the available tools the software contains that help visualize data. Make sure to provide a link or some reference to where you found the software.
  2. Using one or more of the approaches presented in the article discuss how would you evaluate the suitability of this geovisual analytics as a means of visualizing the COVID-19 data set or your own choosing. In your summary, make sure to comment on the strengths and weakness of the proposed evaluation method with regard to your geovisual analytic software used by the organization of your choosing.
  3. Given what you have learned thus far in the course and any thoughts from your summary here, what kinds of additional tools or functionalities would you recommend be included in the geovisual analytics software of your choosing?
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Weeks 3 and 4: Proposal Development

Weeks 3 and 4: Proposal Development dxb45

Overview

Overview

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • identify the general nature of what problem is to be solved
  • describe how geoanalytics could be applied to the present problem
  • explore the database for this situation
  • identify which data attributes are most significant to reach a solution

Lesson Roadmap

Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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.

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Proposal Overview

Proposal Overview

A non-profit humanitarian based organization called Healing the Health of Humanity International (H3I) has recently been awarded a very large grant. The dictates of the grant state that the funds must be allocated to serving the interests of individuals around the world who have experienced COVID-19. In order to meet the requirements of the grant on how best to meet the needs of those who have experienced COVID-19, H3I realizes that a considerable amount of data collection, processing, and analysis will be required. H3I also recognizes that this project will involve a considerable amount of geospatial data. Various methods (e.g., geospatial analytics) will be required to help visualize patterns, trends, and relationships in COVID-19 geospatial data. H3I also acknowledges that they do not employ staff that have expertise in geovisual analytics. That’s where your business plays a role.

Scope of the Problem

For this week you will be engaged in two tasks.

First, develop a business that focuses on geospatial solutions to COVId-19 data sets. This business plan will include the business name, logo, and staff. In addition, the plan will also include statements regarding expertise and previous completed projects. The specifics of developing this business are listed below.

Second, begin to draft a proposal that responds to H3I’s request. Note that a complete proposal will not be delivered until the end of the course. Over the next several weeks, you are tasked with developing and refining parts of the proposal. For now, this week will introduce you to the proposal idea from H3I and get you started on thinking how your group will respond to the request. The challenge is based on a COVID-19 data set of your choosing. Your group is one of several “clients” that are developing a proposal that presents a geographic visualization solution to a COVID-19 data set. As mentioned, H3I was recently awarded a grant that is directed to the betterment of individuals who have experienced COIVD-19, a topic of which is at its core mission. The challenge is to extract meaningful information from the COVID-19 data set of your choosing and make recommendations to H3I on how best to allocate its grant monies.

Specifically, for this project, H3I is interested in understanding some of the following characteristics about the COVID-19 data:

  • Identifying who are the most disadvantaged groups?
  • What are the anomalies in the COVID-19 data set?
  • Who are the people in most need of the basics?
  • What COVID-19 individuals have been displaced?
  • Some basic demographics include age profiles of the refugees (youngest, oldest), country of origin, GDP of most strickened countries).
  • Are there other mitigating factors contributing to the situation (consider civil-strife, political, ethnic, and religious tensions)?
  • Which countries have the greatest number of cases, deaths, vaccine hesitancy, etc.?
  • How would resource allocation (medicine, health care access, vaccine delivery, etc.) better COVID-19 situation?
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Example Proposal

Example Proposal

Credit: ha11ok from Pixabay

The following is an example of the type of proposal that you will be developing:

Request for Proposal (RFP)
RFP#: 1024

This RFP has four (4) sections. In order to be considered for this project each submitting agency must complete all parts. Instructions on how to complete each section is provided under each section’s header.

FORWARD

This forward must be completed and presented on a separate page.

  1. Project title: “Challenges to Geospatial Data”
  2. Number of staff involved with this project (include management):
  3. Amount requested from H3I (USD$):

The Project Proposal Application for Funding Form has four sections:

  1. Executive Summary
  2. Statement/Scope of Work and Management Plan
  3. Preliminary Project Schedule and Project Budget
  4. Project Monitoring and Evaluation

I. EXECUTIVE SUMMARY

I.A. This section should provide a brief introduction to the current H3I’s RFP. The summary should also describe: (~ one page)
  1. The problem or critical issue which this proposal seeks to resolve
  2. How this proposal relates to other relevant characterizations, recommended relief strategies, and policies on COVID-19
I.B. This section should identify the specific work to be performed: (~ one page)
  1. Describe the relevant experience and capabilities of the enterprise submitting this proposal.
  2. Identify the type and level of resources (personnel expertise and software/hardware) that the implementing enterprise submitting the proposal will provide for project planning, implementation management and follow up.

II. STATEMENT/SCOPE OF WORK and MANAGEMENT PLAN

II.A. Expected Project Results/Deliverables: (~ two pages)

This section should describe the overall results that the project is expected to accomplish.

  1. Discuss the specific data sets and variables that could be used to provide a solution to H3I’s RFP. You should feel free to include data sets and variables that are not present in the COVID-19 data set that you downloaded. But, if you do, please identify specifically how these external data will be used in your solution to the problem.
  2. Present a survey of existing geovisualization/geovisual analytics solutions. This survey should describe key characteristics of existing geovisualizations/geovisual analytics solutions that could be applied to help address H3I’s RFP. Note, these existing geovisualization/geovisual analytics do not necessarily need to examine your COVID-19 data.

The discussion should indicate in quantitative terms, to the extent possible, what the project will produce through its planned activities.

II.B. Detailed Project Activities and Work Plan: (~ two pages)

This section should describe how each immediate project objective will be carried out in terms of planned activities.

  1. Identify which geovisualization/geovisual analytics tools will be most useful in answering H3I’s RFP.
  2. Describe the technical specifications of the proposed solution. This description can include, but is not limited to, the selected programming language, the operating system, the platform, etc.

III. PRELIMINARY PROJECT DEVELOPMENT TIMELINE AND BUDGET (~ two pages)

  1. Detail the development timeline of the project. The details could include, but are not limited to, significant milestones that you consider to be achievable within the proposed timeline.
  2. The budget for this proposal should be prepared in U.S. dollars. The budget should include, but is not limited to, a description of each budget line item. The budget should include, but it not limited to, development time, software/hardware, training, consulting, contracting services, and usability studies.

IV. PROJECT MONITORING AND EVALUATION (~ two pages)

This section should discuss proposed mechanisms and procedures for monitoring of project operations to ensure that activities occur as planned, that they remain directed towards stated objectives, and that appropriate corrective action is taken if required.

Specifically, the discussion should indicate who will be responsible for preparing periodic project progress and final technical reports and for the accounting of expenditures.

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Project Management Tools

Project Management Tools

Wrike is one project management tool that you can use. Your group can discuss whether or not you would like to utilize this tool as you collaborate on your project. Whether you use Wrike, the group space in Canvas, or some other system, finding a way to communicate with your group members and keep track of all of the moving pieces of your project will be crucial. In order to use Wrike with your group, one group member should visit this URL and start an account. You will then be able to add the rest of your group members. Contact us if you have questions.

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Survey and Section I (Executive Summary) of Your Proposal

Survey and Section I (Executive Summary) of Your Proposal

See Canvas for assignment details that focus on completion of Section II. Please refer to Survey and Section I (Executive Summary) from the H3I RFP example for specific section requirements.

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Week 5: Solution Development

Week 5: Solution Development dxb45

Overview

Overview

Introduction

For this week, you will continue working on different parts of H3I’s RFP.

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • specifically define the problem
  • identify the exact variables necessary to help solve the problem
  • link the functional aspects of geoanalytics with your data set
  • develop a specific solution to the identified problem

Lesson Roadmap

Welcome back! This week, you will resume working on different parts of your group project proposal. We would like you to work with your group to apply what you learned while in Europe to revising and refining your project. Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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.

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Section II of Your Proposal

Section II of Your Proposal

See Canvas for assignment details that focus on completion of Section II. Please refer to Section II from the H3I RFP example for specific section requirements.

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Week 6: Solution Development (continued)

Week 6: Solution Development (continued) dxb45

Overview

Overview

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • deliver a mini-presentation on proposed solutions
  • provide critical feedback to peers on their proposed solution

Lesson Roadmap

Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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.

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Section III

Section III

Section III of Your Proposal

See Canvas for assignment details that focus on completion of Section III. Please refer to the Section III from the H3I proposal example for specific section requirements.

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Mini Presentation of the Group Project Proposal Draft

Mini Presentation of the Group Project Proposal Draft

It is now time for you to present your first draft of the group project proposal that you have been working on over the last several weeks. 

Please see Canvas for complete assignment instructions and due dates.

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Week 7: Solution Development (continued)

Week 7: Solution Development (continued) dxb45

Overview

Overview

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • incorporate readings in geovisual analytics

Lesson Roadmap

Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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.

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Section IV

Section IV

Develop Section IV of Your Proposal

See Canvas for assignment details that focus on completion of Section IV. Please refer to Section IV of the H3I proposal example for specific section requirements.

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Week 8: Final Group Presentations

Week 8: Final Group Presentations dxb45

Overview

Overview

Learning Objectives

At the successful completion of this lesson, you should be able to:

  • Deliver formal presentation of project to peers

Lesson Roadmap

Please refer to Canvas for lesson deliverables, including specific timeframes and due dates.

Questions?

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.

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Presentation of Final Group Project Proposal

Presentation of Final Group Project Proposal

It is now time for you to present your final draft of the group project proposal that you have been working on. 

GitHub Code Example (Optional)

Some of you might have a code example to share. If so, you can upload your completed code example to GitHub (this is optional).

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