7,433 results returned
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Title: LandScan 2018 global population database
Contributors:- Not specified
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface Developed by Oak Ridge National Laboratory.
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Title: LandScan 2016 global population database
Contributors:- Not specified
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface Developed by Oak Ridge National Laboratory.
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Title: LandScan 2017 global population database
Contributors:- Not specified
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface Developed by Oak Ridge National Laboratory.
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Title: LandScan 2014 global population database
Contributors:- Not specified
- 2015
- Not owned by MIT (Owned by Stanford)
Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface. Developed by Oak Ridge National Laboratory. "Disk 1 of 1."
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Title: LandScan global 2013
Contributors:- Not specified
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface. Developed by Oak Ridge National Laboratory. "Disk 1 of 1."
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Title: China province boundaries, 2010
Contributors:- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: Polygon shapefile representing province-level boundaries in China as of 2010.
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Title: China national boundaries, 2010
Contributors:- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: Polygon shapefile representing national boundaries of China as of 2010.
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Title: China prefecture boundaries, 2010
Contributors:- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: Polygon shapefile representing prefecture-level boundaries in China as of 2010.
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Title: China county boundaries, 2010
Contributors:- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: Polygon shapefile representing county-level boundaries in China as of 2010.
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Title: China township boundaries, 2010
Contributors:- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: Polygon shapefile representing township-level boundaries in China as of 2010.
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Title: Demographic Census Data (Provincias) Cuba 2002
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents demographic census topics for Cuba in 2002 by province (provincias). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Demographic Census Data (Provincias) Cuba 2002
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents demographic census topics for Cuba in 2012 by province (provincias). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Housing Census Data (Provincias) Cuba 2012
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents housing census topics for Cuba in 2012 by province (provincias). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Social Census Data (Municipios) Cuba 2012
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents social census topics for Cuba in 2012 municipality (municipios). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Housing Census Data (Municipios) Cuba 2002
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents housing census topics for Cuba in 2002 municipality (municipios). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Demographic Census Data (Municipios) Cuba 2012
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents demographic census topics for Cuba in 2012 by municipality (municipios). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Housing Census Data (Municipios) Cuba 2012
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents housing census topics for Cuba in 2012 municipality (municipios). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Cuba Census 2002 (Global Census Archive)
Contributors:- Census data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This collection of Geospatial Data from the East View Global Census Archive presents Cuba's 2002 census in GIS-friendly formats including File Geodatabase, Shapefiles, documentation, and metadata.
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Title: Economic Census Data (Municipios) Cuba 2002
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This polygon data represents economic census topics for Cuba in 2002 municipality (municipios). The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.
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Title: Cuba Census 2002 Geodatabase
Contributors:- Census data ; Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Milwaukee)
Summary: This File Geodatabase represents census topics (Demographic, Migration, Social, Economic, Housing) for Cuba in 2002. It includes spatial layers for provinces and municipalities. The dataset is part of the East View Global Census Archive published by East View Information Services. Download package includes descriptive metadata, guide with field descriptions, and example questionnaire.