GWS2020 - Interpolationg Hydro-meteorological data with Kriging

The third  day of the Winter School on the GEOframe system 2020 is about GEOframe are dedicated to interpolation by using Kriging and the use of Particle Swarm Calibrator.

• The Kriging's equations (YouTube2019 - Slides were a  little modified for 2020, YouTube2020)
• Variography (YouTube video 2019, YouTubeVideo2020)
• The GEOframe Spatial interpolation Package (SIK) (YouTube2019, YouTube2020)
• Error estimation (leave one out) within SIK (YouTube video 2019, YouTube2020)

Exercises 2020

• Jupyter notebooks
• Illustration of the.sim Files 
• Execute the experimental (semi)variogram (YouTube2019, YouTube2020)
• Fitting the theoretical (semi)variogram (YouTube2019 ,YouTube2020)
• Using the Particle swarm with SIK (YouTube2019 ,YouTube2020)
• The leave-one-out (YouTube2019 ,YouTube2020)
• Obtaining one single point estimate with Kriging in SIK (YouTube2019)
• Obtaining a raster of estimated with Kriging in SIK (YouTube2019)
• Again on .sim files (YouTube video 2019 )
• The Particle Swarm optimization. (YouTube 2020: part I, part II)
• Estimating the average variogram over a period of time (YouTube 2020: part I, part II, part III)
• Using Kriging (YouTube2020)
• Leave One Out (YouTube2020)
• Net3 (YouTube2020)
• Some Other Issues (Part I YouTube2020 , Part II YouTube2020)

Exercises 2019

• zip files containing Jupyter notebooks
• Illustration on the Jupyter Notebooks by Niccolò Tubini (Live YouTube video 2019)
• A little about parameter calibration (maybe with a little critical tone ?) (YouTube video 2019)

References

For general information about spatial interpolation of hydrological quantities, please see also "Rainfall and Temperature interpolation", on the AboutHydrology blog

• Marialaura Bancheri, Francesco Serafin, Michele Bottazzi, Wuletawu Abera, Giuseppe Formetta, and Riccardo Rigon, The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8, Geosci. Model Dev., 11, 2189–2207, 2018 https://doi.org/10.5194/gmd-11-2189-2018
• Andràs Bardossy, Introduction to Geostatistics, year unknown.
• Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation (pp. 1–488). New York : Oxford University Press.
• P.K. Kitanidis, Introduction to GEOstatistics, 1997 https://doi.org/10.1017/CBO9780511626166

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