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.

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.

Grave Reform in Modern China is a digital humanities initiative based at Stanford that is building an interactive spatial and textual analysis platform to examine the phenomenon of grave relocation in modern China, a campaign that has led to the exhumation and reburial of 10 million corpses in the past decade alone, and has transformed China’s graveyards into sites of acute personal, social, political, and economic contestation.

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.

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.

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.

Vector data is provided in shapefile format. Each dataset includes a metadata file as well as an ArcGIS layer (.lyr) file.

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.

• China County Location with 2010 Population Census Comparation Data from Short Form Data
• China County Location with 2010 Population Census Comparation Data from Long Form Data.

2010 population census data for all counties and urban districts of Mainland China. Contains data for 160 variables from the short form (CensusA) and the long form (CensusL) census forms. Data is available in shapefile format for use in a GIS and in Microsoft Excel format for use as tabular data.

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.

"2010 China Province Population Census Data with GIS Maps" , which includes about 1,300 variables from 2010 population Census data for all provinces of Mainland China. The GIS map layers include: (1) 2010 province map with population Census data variables from short tables and long tables (1:100 million); (2) Highway; (3) National Road; (4) Provincial Trunk Road; (5) Railways; (6) Rivers; and (7) County boundaries. This CD based data product provided rich information of general population, fertility, nationalities, marriage, age, education, occupation, housing, migration, and etc. "

Shapefile data which can be analyzed and organized spatially with GIS software. Includes data covering Europe, as well as large parts of northern Africa and the Middle East.

"This is a detailed map product on states of India. It include district and sub-district boundaries, locations of cities and towns, villages over 5,000 population, highways and metalled roads, rail-routes and railway stations, airports, etc. Census demographic, socio-economic and communications data are included."