Emmitsburg, Maryland, United States
Experience in the area of statistical geographic area concepts, classifications, and criteria, with an emphasis on the relationships between geographic area definitions and analysis of statistical data. Particular focus on urban/rural, metropolitan and micropolitan concepts and definitions.
Course taught: Global Geography
Directed and led operations focused on development of geographic entity concepts and criteria, including urban/rural classifications, places, census tracts, and other statistical geographic areas. Directed and led operations focused on development and maintenance of standards for attributing and maintaining addresses, features, and geographic entities, including measures of quality, accuracy, and completeness of address and geospatial data in the Census Bureau's Master Address File/TIGER database. Also responsible for coordination of research in the Geography Division. I had four branches under my overall direction: 1) Address and Spatial Analysis Branch 2) Address Standards, Criteria, and Quality Branch 3) Geographic Research and Innovation Staff 4) Geographic Standards, Criteria, and Quality Branch
Directed and led operations focused on development of geographic entity concepts and criteria, including urban/rural classifications, places, census tracts, and other statistical geographic areas. Directed and led operations focused on the development and dissemination of geographic and cartographic products.
I was co-lead (on behalf of the Federal Committee on Statistical Methodology) of the FAIRness Project. The primary objective of the FAIRness Project was to make federal data more discoverable and useful by modernizing the Federal Government’s data cataloging system. The project's goal was to help agencies transition from the decade-old DCAT-US 1.1 schema to the newly proposed DCAT-US 3.0. The existing DCAT-US 1.1 schema became increasingly insufficient for meeting Evidence Act requirements and staying current with international standards. The proposed DCAT-US 3.0 schema is designed to address these challenges – including those associated with geospatial data –and equips data providers across the Federal Government with the information necessary to accurately and efficiently document federal data for public and internal re-use. See https://doi-do.github.io/dcat-us/
Course taught: Population Geography.