pyLPM

Contents:

  • GSLib algorithms
    • Cell declustering
    • Kriging
  • Geostat algorithms
    • Nearest neighbor estimation
  • Variography
    • Variogram map
    • Experimental variogram
    • Variogram modeling
  • Utilities
    • Automatic grid creation
  • Plots
    • Histogram
    • Scatterplot
    • QQ plot
    • Locmap
    • Pixel plot
    • Swath plots
  • 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
    • 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 | D | E | H | I | K | L | M | N | P | Q | S | V

A

  • autogrid() (in module pyLPM.utils)

D

  • declus() (in module pyLPM.gslib)

E

  • experimental() (in module pyLPM.gammapy)

H

  • histogram() (in module pyLPM.plots)

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)

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