Python在农村乱占耕地建房数据汇交中的运用

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中图分类号：TP311；F301 文献标识码：A 文章编号：2096-4706（2025）11-0087-05

Application of Python in Data Collection for Illegal Occupation of Cultivated Land and Housing Construction in Rural Areas

WANG Wencai1.2 (1.JiangsuSudiRenhePlaningandDesignCo.,Ltd.,Nanjingol9,China;2JiangsuSudiRenheLandandRealEstateAsset Evaluation Surveying and Mapping Cost Consulting Co.,Ltd.,Nanjing 21oo29,China)

Abstract:Tosolvethe problems oflow eficiencyand high errorratein manualdata processng during thedatacollection of illgaloccupationofcutivatedlandandhousingconstructioninruralareas,andtoexploremethodsforoptimizingdata processing and batch processing,this paper uses the Python language and combines the ArcPyand Docx modules to write automated programs toachieve batchdata processing.The data procesing timeof the automated program is much shorter than thatof manualoperation.Moreover,theeffciencyoftheautomatedprogramincreases withtheincreaseofprocesseddatawhile the ffciencyofmanualoperationdecreases,significantlyreducingtimeandlaborcosts.This methodefectivelyreduces the timeandcostofataclection,improvesteprocssingeecyndaccuracyndducesteokitensityeoam has expandabilityandcanbeappliedtosimilarscenarios.Future work willfocus onimproving the program's functionality， enhancing its universality and reliability,and providing better support for related data processing.

Keywords: data collection; data processing; batch processing; Python

0 引言

农村乱占耕地建房问题已然成为我国土地资源管理领域的棘手难题，其影响深远，既关乎土地资源的科学配置与有效保护，更与农村可持续发展以及国家粮食安全战略的实施紧密相连。（剩余10620字）