Exploring a Big Data Approach to Building a List Frame for Urban Agriculture: A Pilot Study in the City of Baltimore

Urban Farm DB summary

This pilot study explored a big-data approach to building a list frame for enumerating urban agriculture, which is challenging because urban agricultural holdings tend to be small, diverse, dispersed and transient. Conducted by USDA's National Agricultural Statistics Service in the City of Baltimore, it identified areas of potential agricultural activity by gathering web-based information (permits, Facebook and Twitter feeds, interest groups) and then verified a sample via in-person survey. The paper presents the pilot results and discusses lessons learned and next steps.