A hybrid approach for mass valuation of residential properties through GIS and Machine Learning integration
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This repository contains data and codes that support the findings of the study. - PPD-EPC open dataset with the enriched spatial analyses scores and UPRN. - Batch Geocoding Notebook of PPD-EPC dataset with GeoPy - Here API- PyQGIS codes for proximity, terrain, and visibility spatial analyses.- Jupyter Notebook of Machine Learning algorithms for mass property valuation.
本仓库包含支撑本研究各项发现所需的数据与代码。 - 带有增强型空间分析分值与UPRN（唯一物业参考编号，Unique Property Reference Number）的PPD-EPC开放数据集 - 依托GeoPy完成PPD-EPC数据集批量地理编码的Jupyter Notebook - 用于邻近分析、地形分析与可视域空间分析的Here API及PyQGIS代码 - 用于大规模物业估值的机器学习算法Jupyter Notebook
创建时间：
2024-01-31
