Variowin

1 Introduction. - 1. 1 Overview. - 1. 2 History. - 1. 3 Warning : This Is a Methodological User's Guide. - 1. 4 Notation Used Within This User's Guide. - 1. 5 Minimum Requirements. - 1. 6 Content of the Release. - 1. 7 Installation Procedure. - 1. 8 Uninstallation Procedure. - Acknowledgments. - References. - 2 Quick Start. - 2. 1 Prevar2D Construction of a Pair Comparison File. - 2. 2 Vario2D with PCF Exploratory Variography. - 2. 3 Model Interactive Variogram Modeling. - 2. 4 Grid Display Displaying Grid Files as Pixel Maps. - 3 Construction of a Pair Comparison File (PCF) with Prevar2D. - 3. 1 Overview. - 3. 2 What Is a PCF?. - 3. 3 Working with a PCF. - 3. 4 Building a PCF from a Subset. - 3. 5 What Should Be Done with Duplicate Data Points?. - Further Reading. - 4 Vario2D with PCF A Program for Interactive Exploratory Variography. - 4. 1 Overview. - 4. 2 Working with Subsets. - 4. 3 H-Scatterplots and Cross H-Scatterplots. - 4. 4 Variogram Surface and Cross Variogram Surface. - 4. 5 Directional Variogram and Directional Cross Variogram. - 4. 6 Variogram Cloud and Cross Variogram Cloud. - 4. 7 Measures of Spatial Continuity Available Within Vario2D with PCF. - Further Reading. - 5 Model Interactive Variogram Modeling. - 5. 1 Overview. - 5. 2 Variogram Models. - 5. 3 Interactive Construction of a 2D Nested Model. - 5. 4 The Linear Model of Coregionalization. - Further Reading. - 6 Files Used Within VARIOWIN 2. 2. - 6. 1 Data Files (. DAT). - 6. 2 Pair Comparison Files (. PCF). - 6. 3 Grid Files (. GRD). - 6. 4 Variogram Surface Files (. VS). - 6. 5 Variogram Files (. VAR). - 6. 6 Variogram Cloud Files (. CLD). - 6. 7 Model Files (. MOD). - Further Reading. - Appendix A Geostatistical Concepts. - A. 1 Random Variables Regionalized Variables and Random Functions. - A. 2 Moments Considered in Linear Geostatistics. - A. 2. 1 First-OrderMoment Mathematical Expectation. - A. 2. 2 Second-Order Moments. - A. 3 Ergodicity. - A. 4 Hypothesis of Stationarity. - A. 4. 1 Strict Stationarity. - A. 4. 2 Second-Order Stationarity. - A. 4. 3 Intrinsic Hypothesis. - A. 5 Why Do We Need to Model Variograms?. - A. 6 The Multivariate Gaussian Random Function. - Further Reading. Language: English