Tutorials (R)

Case studies

Standard 2-D case

Standard workflow on a 2-D data set. Performs variography and modeling, estimation and simulation, in a monovariate and bivariate cases.

Spatial Indicies

Indices of collocation between populations. Use of Continuous Underway Fish Egg Sampler (CUFES) for mapping spawning habitat of pelagic fish.
Basic Objects

Polygons

Polygon definition and usage (for selection)

Neighborhood

Definition of the Neighborhood concept. This tutorial gives hints on the parameters of the Moving Neighborhood
Basic Calculations

Hermite Polynomials

Perform the elementary calculation based on Hermite polynomials

Random Directions

Generation of Random Directions in a high-dimension space: Van der Corput sequence or Quasi-random model

Multivariate Variograms

Experimental multivariate covariance vs. variogram

Spectral Sphere

Simulation of second order isotropic random fields defined on the sphere using the spectral algorithm proposed in Ch. Lantuéjoul et al. (2019)
Methodology

Non-Linear Geostatistics

Perform estimation using non-linear Geostatistics with a Gaussian Model on a point data set

PPMT

Projection Pursuit Multivariate Transform

PPMT to Gaussian Mixture

Projection Pursuit Multivariate Transform in the case of a Gaussian mixture

Simulation of LMC

Comparing simulations using Turning Bands and SPDE

Cross Validation

Example of Cross-validation calculation with various output formats

Gibbs sampler

Simulation of a Gaussian vector under equality/inequality constraints using the Gibbs sampler

Homotopic / Heaterotopic conditional simulations

What happen with missing values in a multivariate case?

PCA and MAF


Principal Component Analysis and Min/Max Autocorelation factors demonstration

Scatter Plots

Calculating and representing scatter plots or h-scatter plots

Kriging linear combinations

Co-kriging of linear combinations

Graphics in 3D

Representation of a variable on the skin of a sphere

Spectral Simulations

Spectral simulation of random functions
Data Base Management

Simulation Post-processing

Performs proportions by post-processing on several simulations performed on the nodes of a Grid

Data centering

Performs centering of a Point data set on a regular grid (possibly rotated)
SPDE

SPDE

Perform Estimation and simulations in the framework of SPDE

Variable anisotropy

Perform Estimation with non-stationary covariance (anisotropy following a spiral) in the framework of SPDE