四川省公里格网人口密度数据(2000)

本数据集包含2000年四川省公里格网人口密度数据。数据由中国科学院地理科学与资源研究所杨小唤等有关人员生产加工并无偿提供，数据格式为1km*1km栅格，栅格值代表每平方公里的总人口数（万人）。中国公里网格人口分布数据集的生产，首先，综合分析我国人口分布的空间特征及区域差异，在区位理论及空间统计的支持下进行人口区划。在区划后的各子区域中，选择一定具有代表性的县作为建模样本县进行建模，并通过将人口数据与各种土地利用类型进行相关分析，筛选出与人口分布相关性强的具有代表性的土地利用类型，作为建模参数。在每个子区内，利用建立的多元统计模型进行人口空间化，并利用城市人口密度、交通状况、DEM及总量控制四个因子对模型进行校正，以确保模型的合理性和准确性。最终，形成一套具有统一空间坐标参数、统一数据格式、统一元数据标准的公里网格人口空间分布数据集

This dataset includes the 1km×1km raster grid population density data of Sichuan Province in 2000. The data was produced, processed and freely provided by researchers including Yang Xiaohuan from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. The data is stored as 1km×1km raster grids, where each grid cell value represents the total population per square kilometer (unit: ten thousand people). The production of the China Kilometer-Grid Population Distribution Dataset starts with a comprehensive analysis of the spatial characteristics and regional differences of China's population distribution, followed by population regionalization supported by location theory and spatial statistics. For each sub-region obtained through regionalization, representative counties were selected as modeling samples for model construction. Correlation analysis was performed between population data and various land use types, and representative land use types with strong correlations to population distribution were screened out as modeling parameters. Within each sub-region, the established multivariate statistical model was employed to conduct population spatialization. The model was then calibrated using four factors: urban population density, traffic conditions, DEM, and total amount control, to ensure the rationality and accuracy of the model. Ultimately, a kilometer-grid population spatial distribution dataset with unified spatial coordinate parameters, unified data format, and unified metadata standards was developed.