{"id":"3832267d-1ad3-4be2-a85e-266151864fbd","title":"重庆市主城区PM2.5空间模拟数据集（2017）","title_en":"PM2.5 spatial simulation dataset for Chongqing's main urban area in 2017","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5个文件夹组成，分别为年平均、季平均、月平均、周内日平均、日内极值时刻平均。命名方式分别为“PM2.5-2017.tif”“PM2.5-季节.tif”“PM2.5-月份.tif”“PM2.5-周几.tif”“PM2.5-极值时刻.tif”","description":"该数据集以PM2.5监测站点数据为基础，选取道路、建设用地面积、林地面积、园地面积、高程等因子，采用多元回归分析方法对2017年重庆主城区PM2.5的年均、季均、月均、周内平均及日内极值时刻空间分布进行了模拟。交叉验证得到模拟精度分别为90.28%、93.52%、92.27%、90.63%、93.28%。本数据集空间分辨率为25m*25m。具体反演方法参考文献“重庆市主城区PM2.5的时空格局及影响因素分析（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":25.0,"share_policy":"c","ts_created":"2022-10-14T11:17:49.549237+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-10-17T19:31:10.622968+08:00","time_description":"2017","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":"10m - 100m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"3832267d-1ad3-4be2-a85e-266151864fbd","three_pole":null,"third_pole":null},"username":"丁智","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":869}