CEE 5/7303 - Leone Lee

The Space team has made the following datasets and collections publicly available. You must be a logged-in member of the Space to access all the datasets and collections.

Datasets

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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.

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Methodology - Figures

Correlation matrix, PCA, clustering, and model-comparison figures including real Weka Explorer and Experimenter screenshots supporting the Project Methodology write-up.

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Methodology - Processed Data

Feature-selected regression and clustering tables, the accessibility_score target variable, and raw Weka output from the Project Methodology assignment.

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Scripts

Python pipeline used to fetch, clip, and aggregate all raw data sources into the final dataset.

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Figures

Python, Weka Visualize and Preprocess screenshots supporting the outlier, correlation, balance, spatial-trend, and equity findings in the write-up.

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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 2 209 0

Collections

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Final Project Memo

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Project Methodology datasets

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Data Preparation datasets

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