Small Area Demographic Estimates for China with Remote Sensing, GIS and Spatial M

描述(申请人提供)：中国利用遥感、地理信息系统和空间建模进行小区域人口估计中国正在经历从中央计划经济向市场经济的快速过渡。城镇化、移民和区域发展格局正在发生巨大变化。在确定和管理这种变化对经济、环境和人类的影响方面存在巨大的挑战和机遇。与密歇根大学中国数据中心和全中国市场研究公司(北京，中国)合作，首次发布了中华人民共和国中国2000年乡级人口普查数据(包括地理位置数据)，现已向中国以外的研究人员提供。这一史无前例的宝贵数据来源报告了比以往任何时候都更多的人口统计数据，细化到更小的地理单位。超过50,000个乡镇和大约1,500个独特的数据项将在地理人口统计信息系统AllocateChina中提供。这项第一阶段的研究，中国的小区域人口估计，将确定可行性和测试方法，将中华人民共和国中国2000年人口普查数据更新到2006年，产生乡镇和1公里网格水平的估计。这些估计将利用各种数据来源，包括：遥感数据、地理信息系统信息(如海拔、土地利用、湖泊和河流)、人口信息(如人口自然增长、移徙、教育和就业)、经济数据(如投资和国内生产总值)以及各种空间层面的其他可利用因素。将开发和使用空间建模和标准人口估计技术。这些人口统计更新将为现有的AllocateChina系统提供有价值的补充。目前以地理信息系统格式提供的人口空间分布数据对于规划和评估卫生、社会和商业服务的需求至关重要。向寻求为中国市场提供服务的中美机构和公司提供数据的机会很大。目前关于中国人口增长地点的信息对于预测城市化和能源使用量增加对环境的影响至关重要。更好地了解目前人口的年龄/性别分布和其他特征，将有助于规划和分配保健、教育、住房和人道主义援助等服务的资源。

DESCRIPTION (provided by applicant): Small Area Demographic Estimates for China with Remote Sensing, GIS and Spatial Modeling China is experiencing a rapid transition from a central planning economy to a marketing economy. Tremendous changes are occurring in the patterns of urbanization, migration, and regional development. Great challenges and opportunities exist in characterizing and managing the economic, environmental and human impacts of such change. In collaboration with the University of Michigan China Data Center and the All China Market Research Company, (Beijing, China), the first-ever release of People's Republic of China 2000 Census data at the township level (including geographic location data) is now available to researchers outside of China. This valuable and unprecedented data source reports more demographics, down to smaller geographic units, than ever before. Over 50,000 townships with approximately 1,500 unique data items will be delivered in a geodemographic information system, AllocateChina. This Phase I study, Small Area Demographic Estimates for China, will determine feasibility and test methodologies to update the People's Republic of China 2000 Census data to 2006, producing estimates at the township and 1km grid levels. These estimates will draw upon a variety of data sources, including: Remote Sensing data, GIS information (such as elevation, land use, lakes and rivers), demographic information (such as natural population growth, migration, education and employment); and economic data (such as investment, and GDP), and other factors available at various spatial levels. Both spatial modeling and standard demographic estimating techniques will be developed and employed. These demographic updates will offer a valuable addition to the existing AllocateChina system. Current data on the spatial distribution of population in a GIS format is critical in planning and evaluating needs for health, social, and commercial services. A substantial opportunity exists to provide data to both Chinese and United States agencies and companies that seek to serve the Chinese market. Current information on where population growth is occurring in China is critical in predicting environmental impacts of increased urbanization and energy usage. A better understanding of the current age/sex distribution and other characteristics of the population will facilitate planning and resource allocation for services such as health care, education, housing, and humanitarian aid.