City of San Diego Capital Improvement Projects

sandiego.gov-cip-1

Resources

• 20140310-cip-projects. 20140310 CIP Projects

Documentation

San Diego’s Capital Improvement Projects are unique construction projects that provide improvements or additions such as land, buildings, and infrastructure.

Contacts

• Wrangler

Eric Busboom, San Diego Regional Data Library

Packages

• source https://github.com/metatab-packages/sdrdl-data-repo.git

Last Modified 2019-05-15T21:58:21

Geographic packages for conditions of canyons in San Diego county

sdcanyonlands.org-canyon_conditions-1

Resources

• 47th-street-canyon. 47th Street Canyon
• bell-canyon. Bell Canyon
• chollas-creek. Chollas Creek
• hollywood-canyon. Hollywood Canyon
• juniper-canyon. Juniper Canyon
• manzanita-canyon. Manzanita Canyon
• ruffin-canyon. Ruffin Canyon
• shepherd-canyon. Shepherd Canyon
• swan-canyon. Swan Canyon

Documentation

Existing conditions data used in Canyons Enhancement Planning. See the Canyons Enhancement Planning program page for more information. These files are in ESRI’s FileGDB format, so they will require ArcMap to use

Deaths in San Diego country, for the period from 2000 to 2011, due to the causes of death that collectively kill more than 50% of the population.

sandiegocounty.gov-deaths-1

Resources

• 3-4-50-deaths-2000-2011. Deaths in San Diego country, for the period from 2000 to 2011, due to the causes of death that collectively kill more than 50% of the population.

Documentation

This dataset is scraped from the 3-4-50 Data report for 2011. The CSV file includes all of the tables in the PDF report. Be cautious with this file; it was converted manually and may contain errors. If you need data for critical analysis, request an official dataset from the county.

San Diego has the world’s largest municipal Internet-of-things deployment, which I got access to recently and have been pulling data from. I’ve now got about 30 million parking records – events when a car enters or leaves a parking zone – and have been processing and analyzing the data for the last few weeks. The raw data is a bit difficult to use, because there are a lot of spurious events, but it isn’t hard to clean them out. The result is records, at 15 minute intervals, of the number of cars parked in each of the 6,600 parking zones across the city. Here are the two processed datasets.

Combines geographic boundary files for communities, cities and tracts in San Diego County.

sandiegodata.org-geography-2018-12

Resources

Direct access to individual CSV files.

• tracts. Tract census information
• places. Census place information, which includes incorporated cities and unincorporated towns like Julian and Romona
• places_boundaries. Census place boundaries, which includes incorporated cities and unincorporated towns like Julian and Romona
• city_boundaries. Boundary shapes for cities
• sd_community_boundaries. Boundary shapes for SD City communities
• county_boundaries. Boundary shapes for unincorporated County areas
• district_boundaries. Boundaries for special districts, such as the Promize Zone
• county_communities_boundaries. Boundaries for county communities
• combined_boundaries. Boundary shapes for all communities, county regions and cities combined
• tract_boundaries. Tract boundary shapes
• tract_communities. Link between tracts and cities, communities and county regions, with one record per tract. No geometry.
• sd_county_boundary. Boundary shape for SD County

Packages

Collections of all files in the dataset. ZIP packages have all files and documentation in a ZIP file and are compressed to load faster. Excel files have all data in worksheet tabs. CSV packages reference files stored on the net, and are best for use with analysis tools like Metapack.