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This repository was archived by the owner on Mar 31, 2023. It is now read-only.
plc-dev edited this page Oct 18, 2020
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Inverse Distance Weighting (IDW) Overview
IDW is an interpolation algorithm, leveraging tobler's first law of geography: "everything is related to everything else, but near things are more related than distant things."
It can be used to deterministically estimate an unknown spatial attribute of an unmeasured point with the help of surrounding measured points.
E.g. the altitude of a not yet measured point.
The distance between the points has to be known, as they are used to calculate the desired spatial attribute.
Major flaws of this method are the inability to account for spatial continuity and the redundancy of data.
Formula:
Video explaining the algorithm:
Kriging Overview
The Kriging model is a statistical model, that accounts for redundancy, spatial continuity and location/closeness of given data.