Putting Research Data "On the Map" @Stanford Libraries
Stace Maples
Assistant Director of Geospatial Collections & Services
Head, Stanford Geospatial Center
Lecturer, Stanford Doerr School of Sustainability
What
is
Geocoding?
| Street_Address | City | State | Zip_Code |
|---|---|---|---|
| 3250 LAKESHORE AVE | OAKLAND | CA | 946102720 |
| 17035 LAUREL RD | MORGAN HILL | CA | 950374415 |
| 635 COLEMAN AVE | SAN JOSE | CA | 951102029 |
| 2100 SANTA ROSA AVE | SANTA ROSA | CA | 954077691 |
| 3649 MT DIABLO BLVD | LAFAYETTE | CA | 945493735 |
| 5000 FOLSOM BLVD | SACRAMENTO | CA | 958194441 |
| 9670 BRUCEVILLE RD | ELK GROVE | CA | 957575950 |
Why Geocode?
Cost
Scale
Rights
locator.stanford.edu
Jonathan Rodden
Professor of Political Science
Senior Fellow at the Hoover Institution
“This year they went above and beyond, helping me and a team of researchers from several disciplines with an exciting project in which we are geo-coding millions of records from voter files and merging with several other administrative data sets. The Geospatial Center arranged several meetings, helped us select an approach, helped with trouble-shooting, and even helped set us up to do the analysis in our own lab. “
Brazil
...I wanted to let you know that we successfully completed the geocoding and building of our study cohort earlier this year. Our hope is that cohort will become a resource that supports research to save lives and address the terrible problem of firearm violence in America. We couldn’t have accomplished all the geocoding without your help and the SGC. The geocodes are a critical part of the final dataset. So thank you, thank you, thank you... Regards, David Studdert & Yifan Zhang
The New locator.stanford.edu Service
https://locator.stanford.edu/arcgis/rest/services/Geocode/NorthAmerica_Composite/GeocodeServer/findAddressCandidates?f=pjson&singleLine=397%20Panama%20Mall,%20Stanford,%20CA%2094305
Bulk Geocoding
Gazetteering
Reverse Geocoding
1.67 million geocodes per hour
The Data
250+GB of Parcel, Street, POI & Administrative Boundary Data
Street-level address data for 149 countries that covers more than 90% of the world's population
Millions of businesses, landmarks, and other points of interest for "Reverse Geocoding"
Topologically Integrated
Next
Steps
Tuning &
Moving to Production
New Services
Route Optimization
Origin-Destination Matrices
Service Areas & Travel Time Isohyets
Thanks to...
- Robert Smith
- Julian Morley
- Julie Sweetkind-Singer
- Tom Cramer
Questions?
maples@stanford.edu