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