Detecting and managing change in the housing landscape is critical for planning and implementing effective programs to update and validate address and spatial data needed to support census and survey data collection. The papers in this session focus on research and processes in the Census Bureau's Geography Division to detect change through the use of imagery and remotely-sensed data, understand and analyze the distribution of hidden housing, and classify, analyze, and maintain data related to housing and address ranges. This work directly supports the 2020 Census and lays the foundation for future processes to manage address and spatial data in support of the decennial census and ongoing surveys.
|Presenter||David Vogt*, U.S. Bureau Of the Census, United States Census Bureau Imagery Acquisition and the Road to 2020||20||10:00 AM|
|Presenter||Michael Orris*, U.S. Bureau Of the Census, U.S. Census Bureau Street Name Quality Edits||20||10:20 AM|
|Presenter||Tiernan Erickson*, U.S. Bureau Of the Census, Developing an Address-Based Typology for Census Data Evaluation||20||10:40 AM|
|Presenter||Shonin Anacker*, U.S. Bureau Of the Census, Hidden Housing Units and the Decennial Census||20||11:00 AM|
|Presenter||Arthur Desch*, U.S. Bureau Of the Census, Using Remotely Sensed Data to Improve Census Bureau Update Activities||20||11:20 AM|
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