- CEE 5/7303 - Leone Lee
- Datasets
Datasets in Space CEE 5/7303 - Leone Lee
The Space team has made the following datasets publicly available.
Methodology - Scripts
Python and Weka command-line pipeline that builds the accessibility_score target, selects features, and compares regression and clustering models for the Project Methodology assignment.
- 0 14 0 179 0
Methodology - Figures
Correlation matrix, PCA, clustering, and model-comparison figures including real Weka Explorer and Experimenter screenshots supporting the Project Methodology write-up.
- 0 11 0 170 0
Methodology - Processed Data
Feature-selected regression and clustering tables, the accessibility_score target variable, and raw Weka output from the Project Methodology assignment.
- 0 29 1 163 0
Scripts
Python pipeline used to fetch, clip, and aggregate all raw data sources into the final dataset.
- 0 9 0 203 0
Figures
Python, Weka Visualize and Preprocess screenshots supporting the outlier, correlation, balance, spatial-trend, and equity findings in the write-up.
- 0 15 0 168 0
Processed Data
The 46 DART station walksheds, the engineered feature table, the Census overlay, and the final combined flat file used for modeling.
- 0 7 1 131 0
Raw Data
GTFS transit feed, OpenStreetMap extracts (crosswalks, trees, benches, sidewalks, shops, resources), Dallas zoning polygons, and Census block group/tract data before spatial aggregation.
- 0 16 2 210 0