基于ArcPy的克里金法自動插值技術研究
首發時間：2022-07-26
喬世驕（2000-），男，本科生，主要研究方向：空間分析
王嬌 1王嬌（1990-），女，副教授、碩導，主要研究方向：數字地形分析
鄭新奇 1鄭新奇（-），男，教授、博導，主要研究方向：地理信息科學與技術、土地評價與規劃。
摘要：隨著地理信息科學理論和方法的日臻完善，以及計算機軟件技術的不斷豐富和發展，地理信息行業軟件迅速發展壯大，在地理信息、遙感領域的研究中得到了廣泛應用，擴展了地理信息產業的服務能力和范圍，但同時也暴露出一些問題。例如在生產實踐和研究中，基于GIS軟件的數據處理工作步驟繁雜，容易出錯，主要表現在容差內的尺度匹配和精度匹配問題，多源與異步數據的融合校驗；空間數據庫的入庫工作浪費了大量人力物力；大數據場景下對于自動化技術存在性能優化的迫切需求；使用地理信息行業軟件制作特定用途的專題圖存在制作成本較高、專業性強、工作強度高、制圖格式不一致等問題；重復作業，效率不高；人工編輯序號耗時較長，易出現錯誤、標準不統一等問題。本文針對空間插值效率低下問題，選取北京市城六區房產價格數據作為示例數據，基于ArcPy站點包和ArcToolbox工具箱，研究自動插值的技術實現。結果表明，基于二手房價交易數據的克里金插值在考慮4種克里金法、11種半變異函數、21種步長時，相比傳統ArcGIS手動插值，插值時間縮短約4倍，有望在克里金插值研究中推廣使用，同時為基于ArcPy包的同類開發補充了案例驗證。
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Research on Automatic Interpolation Techniques of Kriging Method Based on ArcPy
喬世驕（2000-），男，本科生，主要研究方向：空間分析
WANG Jiao 1王嬌（1990-），女，副教授、碩導，主要研究方向：數字地形分析
ZHENG Xinqi 1鄭新奇（-），男，教授、博導，主要研究方向：地理信息科學與技術、土地評價與規劃。
Abstract：With the improvement of the theories and methods of Geographic Information Science and the continuous enrichment and development of computer software technology, the software of geographic information industry has developed rapidly, and has been widely used in the research of geographic information and remote sensing, which has expanded the service capacity and scope of geographic information industry, but also exposed some problems. For example, in production practice and research, data processing based on GIS software is complicated and error prone, which is mainly manifested in the problems of scale matching and accuracy matching within tolerance, and the fusion and verification of multi-source and asynchronous data; The storage of spatial database wastes a lot of manpower and material resources; There is an urgent need for performance optimization of automation technology in the big data scenario; There are some problems in using geographic information industry software to make thematic maps for specific purposes, such as high production cost, strong professionalism, high work intensity, inconsistent mapping format, etc; Repeated operation, low efficiency; It takes a long time to edit the serial number manually, which is prone to errors, inconsistent standards and other problems. Aiming at the low efficiency of spatial interpolation, this paper selects the real estate price data of six districts in Beijing as an example data, and studies the technical implementation of automatic interpolation based on arcpy site package and arctoolbox toolbox. The results show that Kriging interpolation based on second-hand house price transaction data can shorten the interpolation time by about 4 times compared with traditional ArcGIS manual interpolation when considering 4 Kriging methods, 11 semivariograms and 21 steps, which is expected to be popularized and used in Kriging interpolation research. At the same time, it supplements case verification for similar development based on arcpy package.
Keywords： Automatic interpolation ArcPy Kriging method
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