pyLPM
Introduction:
Installation
Jupyter notebook
Importing yout data
Getting Data In/Out
Viewing Data
Filtering
Selection
Setting
Missing data
Modules:
Pre loaded datasets
Getting the dataset
Show dataset info
GSLib algorithms
Cell declustering
Variogram
Kriging
Geostat algorithms
Nearest neighbor estimation
Variography
H-scatterplot
Variogram map
Experimental variogram
Variogram modeling
Utilities
Automatic grid creation
Plots
Histogram
Scatterplot
QQ plot
Locmap
Pixel plot
Swath plots
Demos:
Walker Lake demo
Importing data
Plotting locations maps
Plotting histograms
Plotting a scatterplot
Plotting a qq plot
Running declus from GSLib
Creating a grid
Running NN from Geostat algorithms module
Plotting the declustered histograms
Variography
Plotting a H-scatter
Cross validation
Creating another grid
Kriging
Plotting the estimad grades
Validating the model
pyLPM
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Index
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Index
A
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D
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E
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G
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H
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I
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K
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L
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M
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N
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P
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Q
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S
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V
A
autogrid() (in module pyLPM.utils)
D
dataset() (in module pyLPM.datasets)
declus() (in module pyLPM.gslib)
descriptions() (in module pyLPM.datasets)
E
experimental() (in module pyLPM.gammapy)
G
gamv() (in module pyLPM.gslib)
H
histogram() (in module pyLPM.plots)
hscatterplots() (in module pyLPM.gammapy)
I
interactive_experimental() (in module pyLPM.gammapy)
interactive_modelling() (in module pyLPM.gammapy)
interactive_varmap() (in module pyLPM.gammapy)
K
kt3d() (in module pyLPM.gslib)
L
locmap() (in module pyLPM.plots)
M
modelling() (in module pyLPM.gammapy)
N
nn() (in module pyLPM.geostatalgo)
P
pixelplot() (in module pyLPM.plots)
Q
qqplot() (in module pyLPM.plots)
S
scatter2d() (in module pyLPM.plots)
swath_plots() (in module pyLPM.plots)
V
varmap() (in module pyLPM.gammapy)