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I am trying to produce kriging models from elevations points using the gstat package. I can fit models to the empirical variogram using exponential, spherical, and gaussian curves. However, despite th…
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Off the bat random downsampling before calculating diffs and lags
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Given a time series of measurements, we want to characterize measurement uncertainty three ways
1. Instrument uncertainty (provided by the sensor manufacturer)
2. Representativeness Uncertainty
…
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Hello,
I am analysing the interpolation techniques, and I encountered something that appears to be weird for me (I might be wrong).
I am using here 100 random points in Spain where the precipit…
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Hi,
I am a new user and had an application to apply spatio-temporal kriging. I have used skgstat.SpaceTimeVariogram() to create the variogram, but I don't see an option to apply kriging. I would ap…
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The documentation in __init__ (and online) suggests that we have to use one of the predefined distance functions; however, pdist supports passing functions (instead of just names of common distance f…
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One question we seek to answer with our sensor network is: *What time scales are relevant to local air quality variability*
To that end, let's use this issue to track progress on methods for identi…
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Calling the function with `n_jobs>1` raises:
```DeprecationWarning: This process (pid=10362) is multi-threaded, use of fork() may lead to deadlocks in the child.```
Maybe using `multiprocessing.ge…
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At the moment the PrA index causes numerical problems in the P4_Region_Average script when the matrix is inverted. It's not clear why this is, but scaling the PrA values down by a factor of 100 fixes …
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I tried running the GeostatsPy_variogram_calculation.ipynb
I cannot find the file sample_data.csv