{"id":"e0c1b762-e083-4af1-ad0c-80899f09b0db","title":"人口密度空间分布数据集（2015）","title_en":"Population density spatial distribution data set (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":"栅格形式","description":"2015年百米尺度的人口格网数据，每个格网表达该范围内的人口总的数量。该数据来源于英国南安普顿大学地球数据研究所，对该数据进行投影转换、裁剪等处理加工得到“一带一路”沿线34个关键节点区域的百米尺度的人口格网数据。该数据是以行政单元的人口普查数据，通过空间尺度转换得到规则的百米尺度的人口格网数据，每个格网人口是按各行政单元人口和多源辅助数据利用随机森林方法计算得到。人口数据可用于诸多领域，包括城市规划、选举、风险评估、灾害救援、疾病防控、减贫扶贫等。注：该数据仅为初始数据，后续将结合人口普查、建筑物以及GIS遥感等数据进一步加工处理得到更加精确的人口格网数据。","doi":"","projection":"","language":"zh","share_type":"online","east":109.0,"west":11.0,"south":2.0,"north":51.0,"scale":null,"crs":null,"filesize":2129.92,"share_policy":"a","ts_created":"2020-01-23T15:20:18.536797+08:00","doi_type":"国际公开共享数据","ts_updated":"2021-04-19T19:04:20.863762+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":["f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":null,"review_status":5,"review_invite":[{"user_name":"陈彬","username":"chenb","email":"chenb@bnu.edu.cn","is_cancel_expert":false}],"review_editor":{"id":42423,"last_login":"2022-04-08T09:30:55.983765+08:00","username":"吴强林","email":"wuql@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"吴强林"},"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":"e0c1b762-e083-4af1-ad0c-80899f09b0db","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-03-04T17:18:36.763619+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":3234}