{"id":"feff7f62-f5ce-48a1-9753-4d0dc638e076","title":"“一带一路”沿线国家分区贫困发生率（2012-2018）","title_en":"The regional poverty rate of the countries along the Silk Roads (2012-2018)","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":"文件命名：分区贫困发生率以Excel格式存储，文件的名称为“pi_prov_2012_2018”，其中“pi”表示poverty incidence,prov表示是次区域数据，“2012_2018”表示该数据覆盖时间是2012-2018年。其余文件是历年贫困发生率对应的矢量数据。\n数据读取方式：该数据可以直接使用Excel程序打开，数据中PI2012表示2012年的贫困发生率。","description":"该套数据基于夜间灯光数据与宏观统计数据，运用遥感反演方法(500m*500m)得出国别及区域贫困发生率，具有三大优点:（1）计算单元可根据行政区边界调整，可反映统计上少有的大国次区域尺度上的贫困发生率；（2）调查及汇总周期限制了国家及大国次区域尺度上的更新速度，而基于夜间灯光数据估算的方法更新便捷。（3）因夜间灯光数据有多年连续的年际数据，克服了较长时间段内贫困发生率指标数据难以获取的困难。鉴于以上三大突出优点，该套数据集可以更好地支撑课题研究工作，并为摸清“一带一路”沿线国家及区域贫困的基本状况提供科学数据。","doi":"","projection":"","language":"zh","share_type":"protected","east":130.0,"west":20.0,"south":15.0,"north":45.0,"scale":null,"crs":null,"filesize":20.1,"share_policy":"a","ts_created":"2020-01-02T09:52:02.083301+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T20:53:58.934859+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[{"user_name":"吴锋","username":"simlab3825","email":"wufeng@igsnrr.ac.cn","is_cancel_expert":false}],"review_editor":{"id":21057,"last_login":"2022-04-02T11:43:37.753860+08:00","username":"gecm","email":"gechm@lzb.ac.cn","is_active":true,"is_staff":true,"user_name":"盖春梅"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"feff7f62-f5ce-48a1-9753-4d0dc638e076","three_pole":null,"third_pole":"XDA20010303"},"username":"XDA20010303","review_time":"2020-01-10T17:27:17.257312+08:00","protected_duration":24,"protected_describe":null,"is_important":false,"hit_count":2163}