基于ArcGIS的带状数据插值模型对比研究

Comparative Study of Interpolation Models for Strip Data Based on ArcGIS

海岸带的地形等要素数据呈现出带状分布特征,空间插值对分析其要素数值分布及演变趋势具有重要意义。本文以离散带状分布的剖面高程数据为例,对ArcGIS中常用的栅格插值和地统计分析两类模型特征进行比较分析,为实际应用中选择合适的插值模型及参数提供经验参考。研究结果表明:地统计分析模型具有较好的区域拟合效果,剖面高程数据的总体插值精度更优,但耗费时间较长;栅格插值模型精度差异较大,耗费时间总体较短;反距离权重插值法的栅格插值和地统计分析模型精度均最优,反距离权重插值法栅格插值耗费时间最短;在栅格和地统计分析模型中获得相对较优的插值效果,其参数设置有特定规律可遵循。

The topography and other elements data of the coastal zone exhibit striped distribution characteristics,and spatial interpolation is crucial for analyzing the distribution and evolution trends of these elements.Taking the profile elevation data with discrete strip distribution as an example,this paper compares and analyzes the characteristics of two commonly used models in ArcGIS:raster interpolation and geostatistical analysis.The findings provide valuable insights for selecting appropriate interpolation models and parameters in practical applications.The results show that:The geostatistical analyst model has better regional fitting effect,and the overall interpolation accuracy of profile elevation data is better,but it takes a long time;The accuracy difference of raster interpolation model is large and the time consuming is short.The accuracy of IDW raster interpolation and geostatistical analyst model is the best,and IDW raster interpolation takes the shorter time.Relatively better interpolation results are obtained in raster interpolation and geostatistical analyst models with specific rules for parameter setting.