Open AccessComparison of spatial interpolation methods based on ArcGIS
Author(s) -
Zenglu Liu,
Tianfeng Yan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1961/1/012050
Subject(s) - inverse distance weighting , interpolation (computer graphics) , multivariate interpolation , kriging , bilinear interpolation , weighting , nearest neighbor interpolation , computer science , selection (genetic algorithm) , inverse , stairstep interpolation , algorithm , data mining , mathematics , artificial intelligence , computer vision , machine learning , image (mathematics) , medicine , geometry , radiology
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.