摘要
采矿权审核作为林草部门行政审批的常规工作之一,具有审核数量大、审核内容繁琐、审核时间紧等特点。为提高审核工作效率,减少数据分析人员的重复性劳动,基于模块化理念,利用模型构建器和Python编程,研制出了适用于ArcGIS的采矿权审核数据分析工具。与人工分析方法对比,该工具实现了数据的自动化、流程化处理,简化了数据处理分析的步骤,大大缩短了采矿权审核的数据分析时间,提高了采矿权审核工作的审批效率。
As one of the routine administrative approval tasks of forestry and grassland departments,mining right audits are characterized by a large number of reviews,complicated review contents,and tight review timelines.To enhance the efficiency of audit work and reduce repetitive labor for data analysts,an ArcGIS compatible data analysis tool for mining right audits has been developed based on the modular concept,utilizing Model Builder and Python programming.Compared with manual analysis methods,this tool automates and streamlines data processing,simplifies the steps of data processing and analysis,significantly shortens the data analysis time for mining right audits,and improves the approval efficiency of mining right audit work.
作者
王鸣
WANG Ming(Shenyang Surveying and Mapping Research Institute Co.,Ltd.,Shenyang 110122,China;Liaoning Provincial Urban Spatio-Temporal Information Professional and Technical Innovation Center,Shenyang 110000,China)
出处
《辽宁林业科技》
2025年第1期91-94,共4页
Liaoning Forestry Science and Technology
基金
辽宁省教育厅基本科研面上项目(LJKMZ20220942)。
作者简介
王鸣,高级工程师,主要从事测绘和林业工作,E-mail:270653452@qq.com。
