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Using the K-Nearest Neighbor (KNN) model to interpolate non-overlapping datasets in time and space

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Using the K-Nearest Neighbor (KNN) model to interpolate non-overlapping datasets in time and space

Motivation

This package was developed to experiment with KNN in combination with weather data. This was done in order to see which weather parameters could be accurately interpolated.

Contributors

Developed by Jurian Baas at the Royal Netherlands Meteorological Institute, part of master thesis in Artificial Intelligence.

Licence

This package is licenced under GPL-3

Copyright (C) 2017  Jurian Baas

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see http://www.gnu.org/licenses/.

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Using the K-Nearest Neighbor (KNN) model to interpolate non-overlapping datasets in time and space

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