Authors:
Si Chen, Chuan Xu
Master Candidates of Data Science at University of San Francisco
As a member of the city residence, we would like to explore the ability of different neighborhoods to cope with external stresses and disturbances. We expect to provide useful information to our audience regarding their everyday life, such as looking for a suitable place to move to and gaining a better understanding of local communities.
The data for this project is collected from DataSF.
Resiliency Scores in San Francisco
* We have implemented ten tabs for each score. When a score is selected, the shading of neighborhoods will change according to that score value.
* You could also hover on a certain area to check the name of that neighborhood and the actual value of that score.
Parallel Coordinates
* All neighborhoods are sorted by final resiliency rank. The color of lines is assigned by the final resiliency score of each neighborhood.
* You could highlight neighborhoods on columns to overview all scores. Other neighborhoods will fade away but still show you the overall context.
* You could also change the order of columns to explore relationships between different scores.
Radar Charts
* Neighborhoods with the same resiliency score are in one plot.
* You could click neighborhoods on the legend to show it or hide it.
* You could double click one neighborhood to isolate it from other neighborhoods.
ABOUT THE DATA
The Community Resiliency Indicator System was developed by San Francisco's Climate and Health Program and is part of San Francisco's Climate and Health Profile. The system includes 40 indicators and an additive index which is a compilation of all of the indicators. See attached methods and project description documents for more details, you can also visit San Francisco's Climate and Health Profile website (available Feb-2015)