Point data for locations of homeless for the 2010 PiTC count in San Diego county.
rtfhsd.org-pitc-2010-geo-3
Resources
Documentation
This dataset is a digitized version of the points recorded on paper maps for the 2010 Point in Time Count of the unsheltered homeless. The dataset was not provided with any documentation, and the organization that digitized the data is not known.
The datapackage also includes counts aggregated to tracts, per type of shelter.
Contacts
- Creator
San Diego Regional Task Force for the Homeless
- Wrangler
Packages
- zip https://library-metatab-org.s3.amazonaws.com/rtfhsd.org-pitc-2010-geo-3.zip
- csv https://library-metatab-org.s3.amazonaws.com/rtfhsd.org-pitc-2010-geo-3.csv
- source https://github.com/SDRDLAnalysts/data-projects.git
Accessing Packages in Metapack
import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/rtfhsd.org-pitc-2010-geo-3.zip')
# Create Dataframes
pitc_gdf = pkg.resource('pitc').geoframe()
tracts_df = pkg.resource('tracts').dataframe()
Data Dictionary
pitc | tracts
pitc
| Column Name | Data Type | Description |
|---|---|---|
| id | integer | |
| tract | string | Census Tract ID |
| observe | string | Type of shelter |
| municiplty | string | City |
| locaccurac | string | |
| geometry | string | Approximate point position of the observation |
tracts
| Column Name | Data Type | Description |
|---|---|---|
| tract | integer | Tract Geoid |
| handbuilt | integer | Count of homeless in handbuilt structures |
| individual | integer | Count of unsheltered homeless |
| vehicle | integer | Count of homeless in vehicles |
| total | integer | Total count of homeless in tract |
Last Modified 2019-07-17T21:30:37
Packages
- zip https://library-metatab-org.s3.amazonaws.com/rtfhsd.org-pitc-2010-geo-3.zip
- csv https://library-metatab-org.s3.amazonaws.com/rtfhsd.org-pitc-2010-geo-3.csv
- source https://github.com/SDRDLAnalysts/data-projects.git
Accessing Packages in Metapack
import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/rtfhsd.org-pitc-2010-geo-3.zip')
# Create Dataframes
pitc_gdf = pkg.resource('pitc').geoframe()
tracts_df = pkg.resource('tracts').dataframe()
