what

Climate Movements

Call for
  • young populations
  • governments
  • the masses

to
  • stop
  • halt
  • demand justice from

  • fossil fuel executives
  • environmental degradation
  • polluting corporations
 

By looking at the characteristics of climate movements in a visual manner, we are able to better observe the differences and similarities between them and perhaps even get an idea of why these differences and similarities persist. From here, we’ll have a better understanding of what exactly a climate movement is and how they behave in local and global contexts.

when

Climate Milestones Movements Establishment

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How are these climate movements spread geographically?

where

How large of a social media reach does each climate movement have?

who

Now that we know a little bit about what climate movements are, how they are situated in a historical and geographical context, and their social media outreach, it is time to take the next step.

How do individuals interact with these movements, physically and digitally, in shaping the wider narrative around climate change?

Sprint 1 Product Description:

For the past few weeks, our team has been working on compiling a dynamic data set of various climate movements. From the data set, we’ve extracted the different ways that climate movements describe themselves, their reach on multiple social media platforms, their geographic spread, as well as how they’re situated in the wider historical context of climate change. The intention is to make a creative combination of data and visuals. Our results are presented on this webpage. 

 

Why are we doing this research?

Taking inspiration from the backpack project that was done for school kids, we unpacked each climate movement individually and then looked for ways to cluster and classify them. Each of the four visualizations provides its own unique way of doing so. By looking at the characteristics of the movements in a visual manner, we are able to better observe the differences and similarities between them and perhaps even get an idea of why these differences and similarities persist. From here, we’ll have a better understanding of what exactly a climate movement is and how they behave in local and global contexts. The webpage we have created is our own version of organizing and classifying, in an inductive manner, information related to rising climate movements. The inductive nature of our research is especially important as a climate movement is something dynamic and without a strict definition. 

 

Steps:

  1. Create a dataset of various climate movements: based on our discussion with Sabine, we decided to compile data about several climate movements in one spreadsheet. The data collected includes the locations, social media followings, and action statements of the different climate movements amongst other things. A total of 12 movements were compiled, which were found using desktop research. There was not really a specific selection process, we just tried to find as many climate movements as possible. For the action statements, we created a column with the full statements, as well as an additional column which displays only the verbs used. The verbs would be later used to create a dynamic definition that fits all the climate movements. This dataset was created using desktop research and all team members performed similar tasks.  
  2. Brainstorm visualizations: from the data set, the next step was to design visualizations that would best convey the message imbedded in the data. Using sticky notes for each column heading, we then used different colored sticky notes for each idea of how to visualize the data in the headings or how to combine data from two headings. 
  3. Choosing visualizations: Once we had all the choices on the wall, we decided on four main visualizations to work on for this sprint. They are outlined in the figure below.

Visualization

Description

Definition Rotating Carousel

This visualization is a dynamic definition which combines the action words, target audiences, and target subjects (who the movements were ‘pointing fingers’ at) of 12 climate movements. The structure of the definition remains the same whilst the key words (inputs) rotate to display the different ways that climate movements describe themselves. With this visualization, we hope to show that there is not just one definition for a climate movement, but rather that each movement describes themselves in their own unique way, leading to a plethora of different definitions. Verbs (action words) were chosen based on the frequency that they came up in the purpose statements taken from the official website of each climate movement. Verbs used twice or more were selected for contention. The same was done with the target audiences and subjects. From here, a list of combinations was compiled to test the coherence of all combinations. Once all combinations were mapped out, we coded the Carousel. 


Why?

The rotating carousel was chosen to show that different climate movements speak about themselves in different ways. However, it was also chosen to show the movements are similar in the sense that they demand a desired action from a target group against a particular subject(s). By combining terms, we aimed to show the range of scopes that climate movements assume. 

Social Stacked Barplot

This visualization displays the social media reach of the different climate movements in a stacked barplot visualization. Each bar represents one movement and is made up of several sub-bars that show the movement’s following for a given social media platforms. The total size of the bar represents how large the reach of a particular movement in absolute terms as well as relative to the other movements. The intention of this visualization is to display the differing ‘reaches’ of the climate movements and to classify them based on particular platform data. This will help provide an overview of how widespread the movements are.


Why?

We want to know which movements are most prominent on which forms of social media. We also want to know which social media platforms are the most relevant for pushing the narrative surrounding climate change. This visualization is the first step in identifying appropriate objects for  image scraping later on. 

Timeline

This visualization uses a timeline format to highlight key climate events and compare them to the establishment of particular climate movements, starting from 1963 and going until present day. With such a timeline, we can see what triggered the rise of particular climate movements as well as if and how these triggers have changed over time. Furthermore, it provides a concise overview of all the climate movements we have analyzed to date and how they are situated in the wider context of climate change. Through desktop research, we used  secondary sources and other timelines to determine which events were most important in the history of climate change. 

Map of Locations

Similar to the social rings, the intention of this visualization is to display the reach of different climate movements - this time geographically. The map contains items such as the movement headquarters and local support groups for each of the movements. By having all this information on one map, we show both the local and global scale that particular climate movements assume as well as which geographic locations are over/under represented.

 

Compiling visualizations into a webpage: Once the visualizations are complete, we embedded them on a webpage we created.

 

 


Bibliography

Code Red. (n.d.). Shell Must Fall. Retrieved from https://code-rood.org/en/.
Extinction Rebellion. (n.d.). Home. Retrieved October 1, 2019, from https://rebellion.earth/.
Fossil Free. (n.d.). Retrieved from https://gofossilfree.org/.
Fridays For Future. (n.d.). Global #WeekForFuture September 20-27, 2019. Retrieved from https://www.fridaysforfuture.org/.
Friends of the Earth. (n.d.). Home. Retrieved from https://www.foei.org/.
GreenPeace. (n.d.). Retrieved from https://www.greenpeace.org/global/.
Metabolic. (n.d.). Retrieved from https://www.metabolic.nl/.
Peoples Climate Movement. (n.d.). Retrieved from https://peoplesclimate.org/.
Sunrise Movement. (n.d.). Sunrise Movement. Retrieved from https://www.sunrisemovement.org/.
The Climate Group. (2018, June 4). We work to accelerate climate action. Retrieved from https://www.theclimategroup.org/.
The Climate Mobilization-. (n.d.). Retrieved from https://www.theclimatemobilization.org/.
The Climate Reality Project. (n.d.). Retrieved from https://www.climaterealityproject.org/.
Zero Hour. (n.d.). Miami. Retrieved from http://thisiszerohour.org/.

Tools

https://observablehq.com/@d3/hexbin-map
https://observablehq.com/@christinelangston/week-11-intro-to-d3-js-mapping-data-with-d3
https://bost.ocks.org/mike/map/
https://www.dashingd3js.com/lessons/d3-geo-path
https://medium.com/@amy.degenaro/introduction-to-digital-cartography-geojson-and-d3-js-c27f066aa84
http://datawanderings.com/2018/10/28/making-a-map-in-d3-js-v-5/
https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python
https://bost.ocks.org/mike/selection/
https://www.d3-graph-gallery.com/graph/bubblemap_buttonControl.html
http://maptimesea.github.io/2015/01/07/d3-mapping.html
https://github.com/d3/d3-geo-projection/
https://github.com/d3/d3-axis
https://github.com/d3/d3-request/blob/master/README.md#tsv
https://github.com/d3/d3-geo/blob/master/README.md#geoConicEqualArea
https://github.com/d3/d3/wiki#property
https://bl.ocks.org/mbostock/899711
https://www.knoyd.com/blog/2017/6/23/create-map-in-d3-part1
https://bl.ocks.org/rveciana/0b9b6a577af70a8ddbd410214004ea12
https://bl.ocks.org/vasturiano/f821fc73f08508a3beeb7014b2e4d50f
http://duspviz.mit.edu/d3-workshop/mapping-data-with-d3/
http://www.digital-geography.com/d3-js-mapping-tutorial-1-set-initial-webmap/
https://d3-wiki.readthedocs.io/zh_CN/master/