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Small Area Population Estimation: Using GIS, Remote Sensing and Spatial Statistics - Size and Distribution of Human Population - Softcover

 
9783639450101: Small Area Population Estimation: Using GIS, Remote Sensing and Spatial Statistics - Size and Distribution of Human Population

Synopsis

Revision with unchanged content. Knowledge of the size and distribution of human population is essential for understanding and responding to many social, political, economical, and environmental problems. In the United States, the decennial census is the primary source of demographic data. Although the U.S. Census Bureau conducts census surveys at the household level, the agency only releases the data by aggregated enumeration units, not only to preserve the confidentiality of original respondents, but also for administrative convenience. Currently the finest census population data available to the public is at the block level. The main purpose of this study is to develop methodology to estimate sub-block-level population and to assess the estimation errors. In addition, the author intends to develop methodology for classifying detailed urban land use classes. This study will have broader impacts to the society in its potential applications.

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About the Author

The author is a Program Faculty in the Department of Geography at Texas State University-San Marcos, and a UCGIS (University Consortium for Geographic Information Science) Postdoctoral Research Associate at the U.S. Geological Survey (USGS) Center of Excellence for Geospatial Information Science (CEGIS).

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  • PublisherAV Akademikerverlag
  • Publication date2012
  • ISBN 10 3639450108
  • ISBN 13 9783639450101
  • BindingPaperback
  • LanguageEnglish
  • Number of pages100

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9783836426107: Small Area Population Estimation Using GIS, Remote Sensing, and Spatial Statistics: Size and Distribution of Human Population

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ISBN 10:  3836426102 ISBN 13:  9783836426107
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. Knowledge of the size and distribution of human population is essential for understanding and responding to many social, political, economical, and environmental problems. In the United States, the decennial census is the primary source of demographic data. Although the U.S. Census Bureau conducts census surveys at the household level, the agency only releases the data by aggregated enumeration units, not only to preserve the confidentiality of original respondents, but also for administrative convenience. Currently the finest census population data available to the public is at the block level. The main purpose of this study is to develop methodology to estimate sub-block-level population and to assess the estimation errors. In addition, the author intends to develop methodology for classifying detailed urban land use classes. This study will have broader impacts to the society in its potential applications. 100 pp. Englisch. Seller Inventory # 9783639450101

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Knowledge of the size and distribution of human population is essential for understanding and responding to many social, political, economical, and environmental problems. In the United States, the decennial census is the primary source of demographic data. Although the U.S. Census Bureau conducts census surveys at the household level, the agency only releases the data by aggregated enumeration units, not only to preserve the confidentiality of original respondents, but also for administrative convenience. Currently the finest census population data available to the public is at the block level. The main purpose of this study is to develop methodology to estimate sub-block-level population and to assess the estimation errors. In addition, the author intends to develop methodology for classifying detailed urban land use classes. This study will have broader impacts to the society in its potential applications. Seller Inventory # 9783639450101

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wu Shuo-ShengThe author is a Program Faculty in the Department of Geography at Texas State University-San Marcos, and a UCGIS (University Consortium for Geographic Information Science) Postdoctoral Research Associate at the U.S. Geol. Seller Inventory # 4989207

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