Welcome to pyLPM’s documentation!

pyLPM is a multi-plataform (windows and linux) free and open source python geostatistical library intended to be used in a jupyter notebook. Check Walker Lake demo section in this documentation for a software overview. The software is composed by five modules:

• GSLib module is a wrapper on top of GSLib algorithms to permit a seamless integration with pyLPM.
• Geostat algorithms houses geostatistical algorithms developed by LPM or that are not available in the GSLib open source version.
• Variography module is packed with a full toolkit for spatial continuity analysis and interactive variogram modeling.
• Utilities is where the user will find functions to make the workflow easy and fast.
• Plots is a rich plotting functions library, based on plotly. All the plots are interactive.

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
  • Cross validation
  • Creating another grid
  • Kriging
  • Plotting the estimad grades
  • Validating the model

Indices and tables

• Index
• Module Index
• Search Page