Category Archives: Data Visualization

Community Health Mapping: A New Year Review

To start the New Year I thought I’d begin with a review of Community Health Mapping (CHM). There are a lot of new project partners, and I thought it would be a good time to give a project overview. CHM is a collaborative effort between the National Library of MedicineCenter for Public Service Communications and Bird’s Eye View. The National Library of Medicine is funding the initiative.

The overall goal is to empower community organizations serving vulnerable or underserved populations with low cost, intuitive mapping technology. Therefore we’ve been working with programs organizations who:

  • Focus on vulnerable populations
  • Frequently use and collect data
  • Need effective, scalable & easy to use mapping tools
  • Lack resources (i.e., for proprietary GIS training & software)

We have identified a suite of tools that allow you to collect custom field data, analyze that data, combine it with other spatial datasets, and generate both static maps and/or dynamic maps on the internet. This allows organizations to collect and work with their own data, and if appropriate, share it with others. CHM involves three components that meet all basic mapping needs:

  • Field Data Collection
  • Desktop Analysis and Cartography
  • Internet Mapping
Community Health Mapping Workflow

Community Health Mapping Workflow

A given project may not require all three, however, collectively these components address the basic needs of all mapping projects.

Field Data Collection:

Rather than focusing on the use of expensive GPS receivers, we recommend the use of smart phones and tablets for these reasons:

  • Most community-based organizations already have them!
  • Many know how to use them
  • They’re intuitive
  • They’re portable
  • They come with an on board GPS receiver (iPhone 5 uses GPS + GLONASS)
  • Have on board cameras
  • Can connect to wireless networks
  • Access to the internet
  • Email is available
  • “There’s an app for that!”
SmartPhones and Tablets vs. Traditional GPS Receivers

SmartPhones and Tablets vs. Traditional GPS Receivers

Of course an important consideration is horizontal accuracy. You can read our blog post on that topic to see if mobile smart devices meet your project needs.

When collecting data you need to be able to develop your own custom data collection form. The top three mobile apps we have found are:

Desktop Analysis and Cartography:

After community field data collection, the next step typically involves bringing the data into a desktop GIS. This is the middle step in the workflow. Here the data can be viewed against basemaps such as Google or OpenStreetMap, and combined with other organizational data. This is also where analyses (proximity, density etc.) can be conducted. Presentation quality maps can also be generated in this step.

The software we found to be the best fit is QGIS. This is an open source desktop GIS software. It has many strengths:

  • It can consume many kinds of data, including all the data that would come out of the field data collection apps.
  • It is both intuitive and robust.
  • It has a large suite of geoprocessing tools for analyzing data.
  • It will run on Windows, Mac, or Linux.
  • It is free to download and install.
  • It is well documented.
  • There is a large user community.
  • New functionality is being continuously added. New stable versions are being released every 4 months!
Baltimore Diabetes Data in QGIS Desktop

Baltimore Diabetes Data in QGIS Desktop

Web Presentation

Often you may want to present an interactive map of your results. Interactive means the map reader can zoom in/out, pan the map and turn layers off and on. For this we recommend CartoDB.

You can sign up for a free account, which gives you 50Mb of storage space. Data can be collected with a smart phone or tablet and brought directly into CartoDB.  It is a very intuitive platform. You can literally drag and drop a spreadsheet onto the CartoDB page and have the data upload to your account.  It will accept the most common geospatial file formats including: spreadsheets and comma delimited text files with addresses or coordinates, KML/KMZ, GPX, and shapefiles.

CartoDB also has great documentation including:

Baltimore Diabetes Data in CartoDB

Baltimore Diabetes Data in CartoDB

In Conclusion

This blog has a lot of resources including reviews of mapping technology and case studies. You might begin by clicking on some of the links in this entry. We are also working on a 6 lab CHM curriculum that interested parties will be able to use to hone their skills. Stay tuned for that!

We are always looking for new partners and continuously work to support current project partners. If you are interested, or have questions please don’t hesitate to contact John Scott (jscott at cpsc.com) or Kurt Menke (kurt at birdseyeviewgis.com). Most importantly get out and do some mapping in 2016!

 

 

 

Wildly Successful Community Health Mapping Workshops at MUSC!

Community Health Maps (CHM) conducted it’s largest and most successful workshops ever at the end of September at the Medical University of South Carolina (MUSC). The training at MUSC was divided into three workshops and a presentation. The attendees were a mix of professors, students and researchers, most of whom had little to no experience with GIS. Despite this fact, nearly everyone was able to collect data and make a map. This is a testament to the easy to use nature of the CHM workflow.

It began Monday morning with the first workshop. This was an Intermediate Session for those Community Health Mappers who had been working on projects since the April CHM workshop. We spent two hours covering more advanced topics and answering project specific questions.

Kurt Menke explaining advanced QGIS features.

Kurt Menke explaining advanced QGIS features.

Following that, Kurt Menke presented a CHM project overview at a brown bag lunch session to 30 attendees. Matt Jones closed this session with a 10 minute talk detailing how he used The Community Health Maps workflow this summer to map access to care on Johns Island.

The second workshop was Monday afternoon. It was a two hour session covering field data collection with iForm, and mapping that data online with CartoDB. There were 55 attendees at this session, the vast majority of whom had no GIS experience. In just two hours all 55 attendees were able to collect field data and make a map in CartoDB!

iForm and CartoDB Workshop Attendees

iForm and CartoDB Workshop Attendees

The final workshop on Tuesday was a 5 hour session covering the use of QGIS. The workshop consisted of a custom Charleston based QGIS exercise. Each of the 35 participants worked with a set of Charleston GIS data while learning the basic layout of QGIS. They learned how to add data, style it, and compose a map. The workshop ended with a discussion of each participants goals and project specific questions.

QGIS Workshop Attendees

QGIS Workshop Attendees

In total almost 80 people attended one or more sections of the training! Thanks go out to Dr. Deborah Williamson for hosting the workshops, Dana Burshell for organizing the entire event and assisting during the workshops, and to Sarah Reynolds who was invaluable in providing Mac and QGIS support!

Tableau Public for Data Visualizations

Tableau Public is free software that can help users publish interactive data visualizations to the internet. This software is another great option for data visualization along with GIS Cloud or CartoDB. It has powerful charting and graphing tools, and also allows you to map data and display that data against several online datasets and basemaps.

No plug-ins or programming skills are required, just a browser with JavaScript enabled. Tableau Public uses a simple drag and drop process that anyone can learn. You can work with either the free Tableau Desktop app, or Tableau Online the free cloud based server. Either way you can save your work to the Tableau Public Web servers, which are accessible by everyone on the Internet. One important note about this is that any data you publish is accessible to everyone on the internet.

People see and understand data, reports and dashboards faster with visual analytics technology, which can help uncover key trends, relationships, patterns, and outliers that might otherwise be a challenge to find. Tableau Public can be used to pare down information to its simplest form by stripping away the less important data.

The software can connect to Microsoft Excel, Microsoft Access, and multiple text file formats. It has a limit of 1,000,000 rows of data allowed in any single file. Your organization may use up to 50 megabytes of space.

Tableau Public projects can be shared by emailing a link or by embedding the work in a blog, wiki, or website. Clicking on an emailed link will open a browser page with the view loaded. If embedded onto a page, anyone who visits the page will see the live interactive view.  The following shows the use of Tableau Public in two health related studies.

Public Health Case Studies

To visualize the specific social problem of teen pregnancy over time, Tableau Public was used by the Wisconsin Council on Children and Families to show the decline in births to teen mothers in Wisconsin over recent years. The data depicts racial disparities in teen births in Wisconsin as well as differences in birth rates between older and younger teens. The online link to the data visualizations created with Tableau Public for this study can be found here: http://tblsft.com/public/gallery/teen-pregnancy-declines

The figure below is a screenshot of one of the data visualizations from this study. Data visualizations are interactive. Here the white popup window is showing data from a specific place on the line graph.

Teen Pregnancy Data Visualization

Teen Pregnancy Data Visualization

Such visualizations may help communities address and manage such issues as health problems associated with prematurity and poor academic performance of children of teen parents.

Data can also be mapped by geographic coordinates, city, state, county, and zip code. The visualization below deals with Medicare Costs and combines a map with a chart showing trends in the data.

Tableau Public Desktop - Medicare Cost Data Visualization

Tableau Public Desktop – Medicare Cost Data Visualization

Other data visualization examples created with Tableau Public can be found in the Gallery:

http://www.tableausoftware.com/public/gallery

Other Tableau Public Resources can be found here:

https://public.tableau.com/s/resources