Work in progress, do not use for import yet
Generates an OSM file of buildings with addresses per DC census tract, ready to be used in JOSM for a manual review and upload to OpenStreetMap.
libxml2
libxslt
spatialindex
GDAL
# install brew http://brew.sh
brew install libxml2
brew install libxslt
brew install spatialindex
brew install gdal
# may need to easy_install pip and pip install virtualenv
virtualenv ~/venvs/dcbuildings
source ~/venvs/dcbuildings/bin/activate
pip install -r requirements.txt
Run all stages:
# Download all files and process them into a building
# and an address .osm file per census tract.
make
You can run stages separately, like so:
# Download and expand all files, reproject
make download
# Chunk address and building files by census tracts
make chunks
# Generate importable .osm files.
# This will populate the osm/ directory with one .osm file per
# DC census tract.
make osm
# Clean up all intermediary files:
make clean
# For testing it's useful to convert just a single census tract.
# For instance, convert census tract 000100:
python convert.py 000100
- Address Points http://data.dc.gov/Metadata.aspx?id=190
- Buildings http://data.dc.gov/Metadata.aspx?id=59
- Conflates buildings and addresses
- Cleans address names
- Exports one OSM XML building file per DC census tract
- Exports OSM XML address files for addresses that pertain to buildings with more than one address
- Handles multipolygons
- Simplifies building shapes
Buildings
Each building is a closed way tagged with:
building="yes"
addr:housenumber="ADDRNUM ADDRNUMSUF" # If available
addr:streetname="STNAME STREET_TYP QUADRANT" # If available
addr:postcode="ZIPCODE" # If available
(All entities in CAPS are from DCGIS address file.)
Addresses
Each address is a node tagged with:
addr:housenumber="ADDRNUM ADDRNUMSUF"
addr:streetname="STNAME STREET_TYP QUADRANT"
addr:postcode=ZIPCODE
(All entities in CAPS from DCGIS address file.)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent