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Questions tagged [cross-validation]

a statistical method of evaluating and comparing learning algorithms.

1 vote
0 answers
187 views

This is what I have right now, but the model looks exactly the same as it does without the cross validation. The .html it spits out has no "training" data in the ROC curve or sensitivity ...
Emily Schroder's user avatar
2 votes
0 answers
486 views

I wrote a script for Google Earth Engine that allows me to analyze geospatial data. Initially, I loaded three data sets: a predictor shapefile, a forecast area shapefile, and a collection of landslide ...
gabrielenapolinic's user avatar
0 votes
1 answer
50 views

I cannot find a source that explains how to interpret the output of r.regression.multi. Can someone explain what the different lines mean; specifically how do I see if the results are significant? X=...
kar-g's user avatar
  • 15
0 votes
1 answer
133 views

I want to plot a bubble plot of residuals from the krige.cv function with the bubble function. However I get an error: Error in as(obj, "SpatialPointsDataFrame") : no method or default for ...
simonericmoon's user avatar
2 votes
1 answer
2k views

I didn't know which method to use cross-validation or bootstrap in maxent so I ran both and my AUC values for each method are quite different for bootstrap I have an AUC of 0.758 and for cross ...
Chelsea_VictoriaS's user avatar
0 votes
1 answer
464 views

I recently completed a geostatistics course, and now trying to apply my knewly acquired knowledge to a real case. I have a dataset with 2 122 groundwater level measurement points. I would like to ...
ChloeG's user avatar
  • 828
1 vote
0 answers
42 views

I have square locations (see image). For my SDM, I need some measure of isolation of a square (related to the other squares or a particular specified set of squares). The most simple one would be to ...
Tomas's user avatar
  • 1,358
0 votes
1 answer
1k views

I have a large dataset that doesn't require kriging (it would take too much time to compute anyways). But I'm interested to find the optimal number of samples that would be sufficient in order to ...
accpnt's user avatar
  • 13
1 vote
1 answer
493 views

I am using the 'krige.cv' function from the gstat toolbox in R. It does not take any 'newdata' as input for prediction ( as in universal kriging). How can I predict using the fitted model from this ...
user121's user avatar
  • 151
2 votes
1 answer
2k views

I'm trying to cross-validate the results of an [auto]Krige output but for some unknown reason the results of both autoKrige.cv (automap package) and krige.cv (gstat package) return NA for all values (...
Tom Newton's user avatar
1 vote
0 answers
116 views

I'm learning the Geostatistical Wizard toolset in ArcMap 10.4.1 and I am performing the cross-validation step in an IDW interpolation. I have done some research regarding the process of cross-...
Wonka's user avatar
  • 115
1 vote
2 answers
2k views

I'm performing IDW interpolation using the idw R function from the gstat package. For the purpose of determining what combination of "idp" and "nmax" produces the lowest RMSE in leave-one-out-cross ...
Sebastián Seminario's user avatar
0 votes
1 answer
361 views

I apply Thiessen Polygons interpolation using the krige command in the gstat R package. Using krige without a variogram model sets automatically krige function to perform IDW, and when nmax parameter ...
Maria Karypidou's user avatar
3 votes
1 answer
7k views

I want to perform IDW interpolation using R, and more specifically, using the idw command from the gstat package. Also, I want to use the optimal number of neighbors (point locations) and distance ...
Maria Karypidou's user avatar
1 vote
0 answers
728 views

I performed kriging interpolation using the kriging interpolation tool in ArcToolbox, not the Geostatistical Wizard method. However, how do I determine the cross validation without using the ...
giskid's user avatar
  • 55