https://github.com/samjtro/tri-map
EPA-TRI Data Visualization & Analysis
https://github.com/samjtro/tri-map
data-visualization emissions environment python
Last synced: 8 months ago
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EPA-TRI Data Visualization & Analysis
- Host: GitHub
- URL: https://github.com/samjtro/tri-map
- Owner: samjtro
- License: apache-2.0
- Created: 2022-02-12T06:35:52.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-03-27T15:54:58.000Z (about 4 years ago)
- Last Synced: 2024-01-26T03:37:20.920Z (over 2 years ago)
- Topics: data-visualization, emissions, environment, python
- Language: HTML
- Homepage:
- Size: 395 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# tri-map
** this project is migrating to go **
### what is this project?
EPA Toxic Release Inventory (TRI) Mapping Software
View this project LIVE at: https://samjtro.github.io/tri-map/
This project is meant to preprocess EPA TRI 2019 data and display all Carcinogenic and/or Clean Air Act-classified chemical-emitting facilities in Southern California, Los Angeles County specifically. This is an ongoing project, and can be accessed from 'save-socal.github.io/tri-mapping'.
Current functionality:
- Icons are draggable - A longer drop-shadow indicates a larger bunch of markers; move these around to view other chemical reports for the same facility/location
- Current data includes LA County
- HeatMap functionality enabled by default; disable through LayerControl
- Use MeasureControl to measure the distance of TRI facilities to schools, hospitals, and other vulnerable spots
Future functionality:
- Combine chemical reports for facilities to display all at once, with pages for different chemicals
- Include all CA EPA TRI data
- Ability to refine chemical search, refine sector, and include all available data points (>4600 known chemical reports)
- Demographic Information - Preliminarily, however; one can see that most TRI facilities reside within African-American or Hispanic majority areas
- Conduct extensive Data Refinement for Death Reports + Reporting for Diagnoses of Asthma, Emphysema, Lung Cancers, and more
- Establish causal link between the prevalence of lung afflictions and releases
### file descriptions
[pp.py]
- Constructs DataFrame from 2019 EPA TRI data
- PreProcesses Data to find Carcinogenic and/or EPA Clean Air Act-classified chemical-emitting Facilities in Southern California
- Exports the data as a class attribute
[mp.py]
- Constructs folium map
- Maps all available Datapoints, with markers for each Chemical Emission report and a HeatMap of area trends
- Exports map as 'map.html'