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Hi,
I've been encountering a problem I don't understand with the predict.gstat function.
I would like to use it to interpolate residuals using a cokriging model. Running the function with nsim=0…
lea-c updated
3 months ago
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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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Unbounded variogram models like the power-law model can't be expressed by a covariance model, since they don't have a finite sill.
We need another class next to `CovModel` (maybe `UnboundedModel`),…
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As with estimating the variograms, using all available stations and a wider range of years seems reasonable. Is the ET only interested in spatial averages after 1950, for example?
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@EVANSTATS We want to look at inserting our NCMP code into R-Instat to avoid having dependency on the R scripts.
So this is a two-step process:
1. Check the NCMP dialogs in R-Instat to check tha…
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It would be great if methods for handling a vario() object could be defined for the function plot() such that `plot(vario(sitexsp))` resulted in a clean plot of the variogram.
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Within the ET-NCMP there was little scope for investigating the behaviour of the code on small nations. Small can be defined in various ways: nations which cover a small area, nations with very few st…
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# Calculate Sample Data Isotropic Variograms
tmin = -9999.; tmax = 9999.;
lag_dist = 100.0; lag_tol = 100.0; nlag = 7; bandh = 9999.9; azi = 0; atol = 90.0; isill = 1
lag, por_sand_gamma, por_sa…
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It would be good if we could get more graphical output from each stage of the processing, so that the user can see what has happened in the processing.
For example
- plots of the station time seri…
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@VicluUiB requested a couple of features:
- [x] Export of plots as images
- [x] Smoothing of Isolines similar to QGIS/MapInfo results ("_Your Isolines look like LEGO!_")
- [x] Export of semi-…