Geostatistics Methods and Klovan Data
Map the Factor Scores
Gamma Model
Gaussian Model
Inverse Distance Weighting
Automatic Kriging Interpolation with Factor Analysis Preprocessing
Perform Kriging Interpolation
Outlier Management
Matern Model
Order-1 G.C. (General Covariance) Model
Principal Component Correlation Plot
Power Model
Print Model Names
Quadratic Exponential Model
range transform
Database Construction
Calculate Eigenvalues
Calculate Eigenvectors
Cardinal Sine Model
Cauchy Model
correlation matrix
Correlation Plot
Cosinus Model
Create Co-variance Matrix
Calculate Eigen Contribution
Exponential Model
Perform Factor Analysis
factor correlation plot
Kriging Interpolation for Databases
Plotting Kriged Database
Experimental Ominidirectional Variogram Plot using Regostats
Ominidirectional Variogram Model using Rgeostats
scree plot
Spherical Model
Stable Model
Triangle Model
Create Variogram Plot
A comprehensive set of geostatistical, visual, and analytical methods, in conjunction with the expanded version of the acclaimed J.E. Klovan's mining dataset, are included in 'klovan'. This makes the package an excellent learning resource for Principal Component Analysis (PCA), Factor Analysis (FA), kriging, and other geostatistical techniques. Originally published in the 1976 book 'Geological Factor Analysis', the included mining dataset was assembled by Professor J. E. Klovan of the University of Calgary. Being one of the first applications of FA in the geosciences, this dataset has significant historical importance. As a well-regarded and published dataset, it is an excellent resource for demonstrating the capabilities of PCA, FA, kriging, and other geostatistical techniques in geosciences. For those interested in these methods, the 'klovan' datasets provide a valuable and illustrative resource. Note that some methods require the 'RGeostats' package. Please refer to the README or Additional_repositories for installation instructions. This material is based upon research in the Materials Data Science for Stockpile Stewardship Center of Excellence (MDS3-COE), and supported by the Department of Energy's National Nuclear Security Administration under Award Number DE-NA0004104.