GDP公里格网数据集
收藏北京市数据知识产权2024-12-17 更新2024-12-18 收录
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资源简介：
GDP公里格网数据集利用公里格网土地利用数据，区县GDP、第一产业增加值、第二产业增加值、第三产业增加值统计数据，夜间灯光数据为基础数据源，以全国34个省级行政区为研究区，利用随机森林算法，分别构建第一产业增加值、第二产业增加值和第三产业增加值公里格网分配模型，然后将三个产业的格网数据复合为GDP公里格网数据。GDP公里格网数据集适用于区域规划分析、灾害损失评估、经济特征分布等领域，基于行政区划范围或者自然地理边界范围统计区域GDP，反映区域经济分布情况。
The GDP kilometer grid dataset adopts kilometer-scale land use data, county- and district-level statistical data covering GDP, value added of the primary industry, value added of the secondary industry and value added of the tertiary industry, as well as nighttime light data as its basic data sources. Taking the 34 provincial-level administrative regions of China as the study area, it employs the Random Forest algorithm to separately build kilometer grid allocation models for the value added of the primary, secondary and tertiary industries, then combines the grid data of the three industries to generate the GDP kilometer grid dataset.
The GDP kilometer grid dataset is applicable to fields such as regional planning analysis, disaster loss assessment and economic characteristic distribution. It can be used to calculate regional GDP based on administrative division boundaries or natural geographic boundaries, thereby reflecting the distribution pattern of the regional economy.
提供机构：
北京科迪生专利代理有限责任公司
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