arboretum_data

AU Arboretum Data

Geospatial dataset of tree and shrub locations on American University’s campus, published for mapping, research, and campus planning use.

About this data

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua, describing the AU campus tree and shrub inventory and how it was collected. See docs/METHODOLOGY.md for details on data collection.

Citation

American University Geospatial. (2026). AU Campus Tree & Shrub Inventory [Data set]. American University Institutional Repository. [link to be added]

See CITATION.cff for the machine-readable citation. Update author names, repository URL, and version/date before publishing.

Download the data

Format	File
GeoJSON	`data/geojson/TreeShrubInventory.geojson`
GeoPackage	`data/gpkg/TreeShrubInventory.gpkg`
CSV	`data/csv/TreeShrubInventory.csv`

See docs/DATA_DICTIONARY.md for field definitions. Known data quality issues (and a reusable checklist for future datasets) are tracked in docs/DATA_CLEANUP_SUGGESTIONS.md.

Webmap

An interactive preview map is available for users who aren’t comfortable browsing GeoJSON directly on GitHub:

View the webmap

webmap/ contains a static, client-side map (MapLibre GL JS + OpenStreetMap basemap) showing the tree/shrub inventory, with an optional 2025 aerial imagery layer from Open Data DC. The same summary, citation, and download links shown above also appear in the map’s info panel. Layer sources and styling are configured in webmap/js/config.js.

To view it locally (serve from the repo root, not webmap/, so the relative path to data/ resolves):

python3 -m http.server 8000
# then open http://localhost:8000/webmap/

Repository structure

data/
  geojson/    canonical published dataset (GeoJSON, EPSG:4326)
  csv/        tabular export with latitude/longitude columns
  gpkg/       GeoPackage export for GIS desktop use
docs/
  DATA_DICTIONARY.md          field definitions
  DATA_CLEANUP_SUGGESTIONS.md known data issues & a checklist for future datasets
  METHODOLOGY.md              data collection & publishing process
webmap/
  index.html           interactive map (MapLibre GL JS)
CITATION.cff
LICENSE

License

Data (data/): Creative Commons Attribution 4.0 International (CC BY 4.0)
Code (webmap/): MIT License

See LICENSE for full text.

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