Optimizing Inverse Distance Weighting with Particle Swarm Optimization
Spatial analysis of hydrological data often requires the interpolation of a variable from point samples. Commonly used methods for solving this problem include Inverse Distance Weighting (IDW) and Kriging (KG). IDW is easily extensible, has a competitive computational cost with respect to KG, hence...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/6/2054 |