山西农业大学学报（自然科学版）2016，Vol.36Issue(5)：371-376,6.
用 ArcGIS 的 Python 脚本计算采煤沉陷区土地损毁程度
Calculate land damage degree in the coal mining subsidence area by Python,ArcGIS script language
摘要
Abstract
For calculating land damage degree in the coal mining subsidence area,the Python that attached to ArcGIS,a script language compilation software,were used to predict the land damage degree area of every land use type.Land damaged degree result characterized as the SHP file format can be outputted directly and then the predicted figures of land damaged can be obtained,through the way that the subsidence contour,additional tilting contour and horizontal deformation contour files with DWG format and the land use file with SHP format were inputted altogether in the Py-thon software.The satisfactory result was obtained from SanYuanJiXiang Coal Mine.Therefore,the software can be applied directly to calculate land damaged degree in other coal mining subsidence area.It is promoted easily and conven-ient for the application of basic technician.关键词
采煤沉陷区/土地损毁/预测/GIS/PythonKey words
Coal mining subsidence area/Land damage/Prediction/GIS/Python分类
管理科学引用本文复制引用
朱宝才,王文龙,梁文俊..用 ArcGIS 的 Python 脚本计算采煤沉陷区土地损毁程度[J].山西农业大学学报（自然科学版）,2016,36(5):371-376,6.基金项目
国家自然科学基金项目(31500523,41501201,41571275),中国科学院西部行动计划项目(KZCX2-XB3-13-4) （31500523,41501201,41571275）
