Small Area Population Estimation: Using GIS, Remote Sensing and Spatial Statistics - Size and Distribution of Human Population - Brossura
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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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L'autore
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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Small Area Population Estimation
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AV Akademikerverlag Aug 2012, 2012
ISBN 10: 3639450108
ISBN 13: 9783639450101
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783639450101
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Small Area Population Estimation
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Condizione: 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. Codice articolo 4989207
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Small Area Population Estimation
Editore:
AV Akademikerverlag Aug 2012, 2012
ISBN 10: 3639450108
ISBN 13: 9783639450101
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Codice articolo 9783639450101
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Small Area Population Estimation : Using GIS, Remote Sensing and Spatial Statistics - Size and Distribution of Human Population
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783639450101
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Small Area Population Estimation | Using GIS, Remote Sensing and Spatial Statistics - Size and Distribution of Human Population
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Taschenbuch. Condizione: Neu. Small Area Population Estimation | Using GIS, Remote Sensing and Spatial Statistics - Size and Distribution of Human Population | Shuo-Sheng Wu | Taschenbuch | 100 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639450101 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Codice articolo 106333749
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