{"id":"a266caa8-498f-4fc8-89f9-56099ad49b1e","title":"重庆市人口密度时空序列数据集-多因素融合模型（2000-2015）","title_en":"Spatiotemporal series dataset of population density in Chongqing - multifactor fusion model (2000-2015)","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"数据集由1个文件夹组成，文件夹里包括2000/2005/2010/2015年四个年份的重庆市人口密度空间模拟结果，文件夹命名规则为中文名称，文件命名规则为“POP-DEN-年份.tif”。","description":"该数据集首先运用多因素融合模型对2010年重庆市人口进行空间化，通过因子与人口的相关性和实际情况分析，选择地形、交通、夜间灯光和NDVI四种因子作为模拟人口的影响因子，并引入产业点因子。本文借助第六次人口普查乡镇数据对多因素融合模型人口模拟结果进行精度验证，相关系数为0.836，在乡镇尺度上进行误差验证中有接近70%左右的乡镇精度在70%以上，模拟效果已经较好。依此方法得到重庆市2000、2005和2015年的人口进行空间分布模拟结果。本数据集空间分辨率为25m*25m。具体反演方法参考文献“基于GIS和多源数据的山地城市人口空间化模拟（硕士论文）”。","doi":"","projection":null,"language":"zh","share_type":"offline","east":110.411062,"west":105.275517,"south":28.065468,"north":32.310804,"scale":null,"crs":null,"filesize":5240.0,"share_policy":"c","ts_created":"2022-10-14T10:40:42.955412+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-10-17T19:31:10.649495+08:00","time_description":"","datas_group":0,"time_description_en":"","data_format":null,"project":[10],"specials":["bd590042-7763-495e-b782-524cf78748f7"],"cite":null,"review_status":5,"review_invite":[],"review_editor":null,"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"1km - 10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"a266caa8-498f-4fc8-89f9-56099ad49b1e","three_pole":null,"third_pole":null},"username":"丁智","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":320}