Questions tagged [kriging]
A statistical interpolation method, also known as Gaussian process regression, most used in geo-statistics. The goal is to map a surface given limited sample data. The process evaluates the variability of supplied data, then uses a weighted average of neighbouring points -- considering both distance and direction -- to interpolate the desired map points.
kriging
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Interpolating Temperature Raster Stack containing NAs
I have a raster stack of approximately 50 layers. This raster stack contains day land surface temperature over a period of three years across a 500km2 area. The data is from MODIS Terra MOD11A2 v061. ...
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Universal Kriging Accuracy with Strain Field
I am attempting to interpolate the normal strain results in the wall type structure (dimensions:800x500 mm) while having approximately 150 scattered known points in the whole element
Sensor Layout
I ...
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The Accuracy of Kriging Interpolation
I am attempting to interpolate the normal strain results in the wall type structure (dimensions:800x500 mm) while having approximately 150 scattered known points in the whole element (find picture for ...
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Can't fit a model to the experimental semivariogram
I'm trying to solve a problem related to geology using kriging.js. As you know, creating a prediction surface with kriging involve variogram (experimental semivariogram and its model) to estimate the ...
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krigeST error with STIDF and STFDF object
I want to produce daily, weekly and monthly kriged mapsvar1.pred is the output I am looking for.I created STIDF object with temporal Units in the variogram model following link for temporal Units. I ...
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How to perform regression krigin in r with dtm
I would like to perform regression kriging within R, extracting elevation values from a dtm, who can advise me on which packages to use in order to best handle the elevation information of the dtm? ...
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Kriging returns the same value in R
I have a dataframe with columns COORDS_X1, COORDS_X2, y. The dataframe has 14 observations located in a small region in Spain and I want to interpolate the unobserved locations in the region. Here is ...
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Kriging Interpolation
Hi i want to plot a map of Argentina with certain reports of hail using the interpolation of Kriging but i cant in R or python. Can anybody help me?
Regarding the reports, these come in the following ...
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Limiting or eliminating parallel processing in GSTools v1.5.1
I am running a series of processes using GSTools v1.5.1 on a large machine where I want to only use one thread. It seems that vario_estimate uses all available processes, increasing processing time ...
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R sp.predict defining pred.coords and pred.covars
I have been trying to use sp.predict for kriging. However, I am having difficulties defining my grid for pred.coords and predict.covars. The current analysis provides results in bands that I know are ...
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Need help for Ordinary Kriging in R
I have collected a set of observations, and my goal is to perform Ordinary Kriging using the gstat package to interpolate these observations onto a regular grid. I'm encountering difficulties in ...
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Meteo station point data to raster interpolation in Python, pandas and geopandas
I'm looking for assistance to solve a spatial Kriging problem in Python (or any other solution you might suggest) that involves integrating multiple variables from the columns of the same dataframe ...
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Variogram fitting issues with surface pressure data
I have the following problem. I used the fit.variogram function to fit several variogram models. The problem is that the one that fits best, is not the one that shows the best performance after ...
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How to plot wind direction with predicted data from kriging?
I used kriging to predict wind direction data, in degrees, from satellite information extracted at the location of monitoring stations. This is how I created my prediction object:
(a) Creating my ...
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Angular with kriging.js, how to implement?
I have a problem with kriging.js in my Angular application. Regardless of the selected model, sigma2 and alpha values, it always generates a one-color canvas, blue or red. The data I'm using is three ...
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