广州市番禺区土地利用及空间距离数据集(1999,2008)

Dataset of Land Use and Proximity Variables in Panyu District, Guangzhou (1999, 2008)

研究表明,城市扩张往往与一系列的空间距离变量相关,因此本文利用ArcGIS获取了离区中心距离,离地铁线的距离,离地铁站的距离,离普通道路距离和离镇中心的距离。通过这些数据可构建城市扩张元胞自动机(CA)模型,并从采样、邻域结构和微观元胞尺度等方面研究CA模型的敏感性。地理空间数据云(http://www.gscloud.cn/)提供了免费的Landsat遥感数据,本文选择1999和2008年的数据,对其进行正射校正和大气校正,再对其进行监督分类并重采样得到1999和2008年的土地利用分类数据,作为城市扩张CA模型的起始影像和终止影像。利用国家地理信息公共服务平台(http://www.tianditu.gov.cn/)提供的地图服务,对研究区的地铁站、地铁线和道路进行数字化,并获取区中心和镇中心,形成矢量数据集。根据该矢量数据集进行欧氏距离分析,得出研究区的空间变量。为了方便比较分析,对所有的空间变量均进行归一化处理,得出城市扩张CA模型的空间变量数据集。数据存储格式包括.txt、.img、.xml和.rrd,由24个文件组成,文件大小为1.81 MB(压缩后)。该数据集的分析研究成果已发表在《遥感学报》2018年第22卷第6期。

Studies have shown that urban expansion is often related to a series of proximity variables.Therefore,Arc GIS software is used to obtain proximity variables,such as,distance from the district center,distance from the metro lines,distance from the metro stations,distance from the roads,and distance from town centers.These proximity variables can be used to build an urban expansion CA model.They also can be used to analysis parameter sensitivity of model.As the Geospatial Data Cloud(http://www.gscloud.cn/)provides free Landsat remote sensing data,this paper selects the data in 1999 and 2008.And then orthorectification,atmospheric correction and supervised classification are performed to obtain the classification results,which are used for start and verification images of the urban expansion CA model.By using the map service provided by the National Geographic Information Public Service Platform(http://www.tianditu.gov.cn/),the metro stations,metro lines and roads in the study area were digitized,and the district center and town center were obtained to form the vector dataset.These vector datasets were applied to Euclidean distance analysis to obtain the spatial variables of the study area.All the spatial variables were normalized to facilitate the comparative analysis.The dataset is archived in.txt,.img,.xml,and.rrd formats,which is mainly composed of 24 files,and the file size is 1.81 MB.The analysis results of dataset are published on the Journal of Remote Sensing in 2018(No.6,Vol.22).