摘要
农业生态文明模式是人类合理利用自然环境形成的可模仿、可复制农业发展示范样例。调查农业生态文明模式的空间分布能够揭示农业发展的空间差异、聚集效应和多样性,对农业发展规划、农业生态文明建设和农业可持续发展研究具有重要意义。为此,作者汇集2018–2020年间中国农业生态文明模式的新闻报道(包含政府网站、央视网、人民网和新华网),采用自然语言处理等技术,将报道蕴含的农业生态文明模式进行抽取与分类,并进一步解析农业生态文明模式的报道时间和空间位置,最终获得中国地区农业生态文明模式的点状空间分布数据集。数据集详细记录了每项农业生态文明模式的类型、空间位置、报道时间、文本关键词、原始描述、文本来源等信息。数据文件包括.xlsx、.shp格式33,440条记录,数据量为168 MB(压缩后21.4 MB)。
Ecological agriculture patterns are agricultural development cases that can be replicated by appropriately utilizing the local natural environment.Surveying the distributions of ecological agriculture patterns can reveal spatial differences,aggregation,and diversity of agricultural development,which is greatly significant to agricultural development planning,agricultural ecological progress,and agricultural sustainable development research.To address this issue,the authors first collect news reports on the topic of Chinese ecological agriculture patterns from official websites such as Yangshi net,Renmin net,and Xinhua net between 2018 and 2020.And then,the authors extract and classify ecological agriculture patterns using natural language processing techniques.Finally,the dotted spatial distribution datasets of Chinese ecological agriculture patterns are produced by parsing spatial and temporal information about the ecological agriculture patterns.The dataset includes the records covering ecological agriculture type,location of each record,report date,keywords,original descriptions,and sources.The dataset is archived in.xlsx and.shp data formats with 33,440 records,and consists of 9 data files with data size of 168 MB(compressed to 21.4 MB).
作者
王曙
诸云强
钱朗
宋佳
袁文
Wang,S.;Zhu,Y.Q.;Qian,L.;Song,J.;Yuan,W.(State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China;School of Computer Science,South China Normal University,Guangzhou 510631,China)
出处
《全球变化数据学报（中英文）》
CSCD
2021年第2期181-188,181-188,共16页
Journal of Global Change Data & Discovery
基金
中国科学院(XDA23100100)
国家自然科学基金(42050101,41771430,41631177,42101467)
