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2021•Journal of Physics Conference SeriesOpen access

Comparison of spatial interpolation methods based on ArcGIS

Zenglu Liu, Tianfeng Yan

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Abstract

Abstract Spatial interpolation algorithm is based on known data to predict the study area, its accuracy is of great significance to research. In different application scenarios, the interpolation method with higher accuracy should be selected. Based on ArcGIS, this paper conducts experimental analysis on inverse distance weighting method and Kriging method, so as to provide a reference for the selection of interpolation method in different application scenarios.

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What this paper is about

Abstract Spatial interpolation algorithm is based on known data to predict the study area, its accuracy is of great significance to research. In different application scenarios, the interpolation method with higher accuracy should be selected. Based on ArcGIS, this paper conducts experimental analysis on inverse distance weighting method and Kriging method, so as to provide a reference for the selection of interpolation method in different application scenarios.

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Available abstract

Abstract Spatial interpolation algorithm is based on known data to predict the study area, its accuracy is of great significance to research. In different application scenarios, the interpolation method with higher accuracy should be selected. Based on ArcGIS, this paper conducts experimental analysis on inverse distance weighting method and Kriging method, so as to provide a reference for the selection of interpolation method in different application scenarios.

Key concepts: Inverse distance weighting, Interpolation (computer graphics), Multivariate interpolation, Kriging, Bilinear interpolation, Weighting, Nearest-neighbor interpolation, Computer science

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