中国公里网格GDP分布数据集

GDP空间化即是以一定尺寸的地理网格单元代替行政单元，便于与土地利用、生态环境背景数据等自然要素数据进行分析整合，为促进多领域之间数据共享，实现空间统计综合分析提供极有力的支持。中国公里网格GDP空间分布数据集是在综合分析了人类活动形成的土地利用格局与GDP的空间互动规律的基础上，建立分产业(一、二、三产业)GDP数量与土地利用类型的空间相关性模型。在区位理论、空间统计学的支持下，综合分析我国社会经济发展的空间特征和区域差异，进行定量表达和分层分区。在每个子区内，选择一定数量的具有代表性的县，作为建模的样本县，在样本县各项数据的基础上建立GDP空间分布模型，利用该模型对GDP分县统计数据空间化，从而生成1km网格的GDP空间分布数据。为了对GDP数据的精度进行校验，在我国东部、中部及西部共选取了40个具有完整的GDP数据的乡(镇)进行校验，结果显示，空间化GDP数据的相对误差在6%到17%之间。该数据集实现了我国GDP数据的空间定量模拟，建立了统一空间坐标参数、统一数据格式、统一的数据和元数据标准的全国1km网格GDP分布数据集。

GDP spatialization refers to replacing administrative units with geographic grid cells of a certain size, which facilitates the analysis and integration with natural feature data such as land use and ecological environment background data, and provides strong support for promoting data sharing across multiple fields and realizing comprehensive spatial statistical analysis.
China's 1km grid GDP spatial distribution dataset is developed based on a comprehensive analysis of the spatial interaction law between land use patterns formed by human activities and GDP, by establishing spatial correlation models between GDP quantities by industry (primary, secondary and tertiary industries) and land use types.
Supported by location theory and spatial statistics, this dataset comprehensively analyzes the spatial characteristics and regional differences of China's socio-economic development, and conducts quantitative expression and hierarchical zoning.
Within each sub-region, a certain number of representative counties are selected as sample counties for modeling. A GDP spatial distribution model is established based on the various data of these sample counties, and this model is used to spatialize the county-level GDP statistical data, thereby generating 1km grid GDP spatial distribution data.
To verify the accuracy of the GDP data, a total of 40 townships and towns with complete GDP data were selected from the eastern, central and western regions of China for verification. The results show that the relative error of the spatialized GDP data ranges from 6% to 17%.
This dataset realizes the spatial quantitative simulation of China's GDP data, and establishes a national 1km grid GDP distribution dataset with unified spatial coordinate parameters, unified data format, and unified data and metadata standards.

搜集汇总

背景与挑战

背景概述

该数据集提供了中国2005年和2010年的GDP空间分布数据，以1公里网格为单元，通过建模将分县统计数据空间化，便于与土地利用等自然要素整合分析。数据经过校验，相对误差在6%到17%之间，适用于人文地理学和社会经济研究，支持多领域数据共享和空间统计综合分析。