San Diego Point In Time Count 2010, Geo Points

Point data for locations of homeless for the 2010 PiTC count in San Diego county.

rtfhsd.org-pitc-2010-geo-3

Resources | Packages | Documentation| Contacts| Data Dictionary

Resources

• pitc. Point in time count geo data for 2010
• tracts. Counts per shelter type per tract

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

  Eric Busboom, Civic Knowledge

Packages

• zip http://library.metatab.org/rtfhsd.org-pitc-2010-geo-3.zip
• csv http://library.metatab.org/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('http://library.metatab.org/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 http://library.metatab.org/rtfhsd.org-pitc-2010-geo-3.zip
• csv http://library.metatab.org/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('http://library.metatab.org/rtfhsd.org-pitc-2010-geo-3.zip')

# Create Dataframes
pitc_gdf = pkg.resource('pitc').geoframe()

tracts_df = pkg.resource('tracts').dataframe()