Visualizations

A picture is worth a thousand words.

Visual analytics can be a powerful tool for sharing research outcomes with diverse publics. They illustrate qualitative and quantitative information in graphics and figures that communicate complex patterns, relationships, and contexts between scientific concepts and theoretical frameworks. Adding a spatial dimension to the presentation of data enables a richer understanding of concepts, ideas and theories by engaging our visual pattern recognition and spatial reasoning abilities (Risch, Kao, Poteet & Wu 2008). In addition, visuals reduce the complex cognitive requirements for processing information and enhance our ability for synthesizing data and gaining insights on its meaning and / or implications (Keim, Mansmann, Schneidewind, Thomas, & Ziegler, 2008).

 

Development Path Change
Developed by Meeting the Climate Change Challenge


 

This interactive model was developed through the Meeting the Climate Change Challenge (MC3) project, and it serves as a step toward better understanding changes in development paths. It does this by exploring change through three theoretical lenses - multi-level perspective (MLP), social practice theory (SPT), and social-ecological systems (SES). It then integrates these perspectives to illustrate how each theory complements one another and ultimately provides a more comprehensive picture of how different forms of change occur.

 

Emerging MC3 Data: Phase Two
Developed by Meeting the Climate Change Challenge

The research project, MC3: Meeting the Climate Change Challenge has two phases. The first phase, 2012—2014, interviewed 11 local government climate innovators. The second phase of the research, as one of its deliverables, re-interviewed a sub sample of the original interviewees in order to track if any changes had occurred in their development paths. Included in this sub sample were interviewees with the elected officials from the virtual conversations led in the first phase.

Prior to analyzing the second interview data, we revised the coding framework used in the first phase and ensured consistency with the three theoretical lenses we were using for the second phase of the research—socio-ecological systems, multi-level governance and social practice. With over one hundred interviews across eleven local governments, we then analyzed all of the interview transcripts around 80 refined codes (referred to as topics). Next comes the fun part: asking questions of the data. What is the number one topic across all the local governments? Which local governments are most closely linked in their vocabulary? What are the topics hardly anyone is talking about? How do the topics change from year to year? The visualizations below apply these questions to the interview data and reframe them in an engaging, visual way. Click on the images to explore.


Top Topics Overall



 

Topic Richness



 

Umbrella Topics



 

A Picture of Electrical Energy Use in Canada
Developed by Community Research Connections and Meeting the Climate Change Challenge


 

This interactive visualization was developed through the Community Research Connections (CRC) program and Meeting the Climate Change Challenge (MC3) project, and it explores Canada’s electrical energy production and consumption over the last 50 years. We invite you to enter this visualization and explore the last half-century of Canadian electrical energy use, looking at where our electricity has come from, how much we have produced, and what our levels of usage have been.

 


Keim, D. A., Mansmann, F., Schneidewind, J., Thomas, J., & Ziegler, H. (2008). Visual analytics: Scope and challenges (pp. 76-90). Springer Berlin Heidelberg.

Risch, J., Kao, A., Poteet, S. R., & Wu, Y. J. J. (2008). Text visualization for visual text analytics. In Visual Data Mining (pp. 154-171). Springer Berlin Heidelberg.