Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
- Multivariate Analysis
- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The VARIOGRAM Procedure
- computes empirical measures of spatial continuity for two-dimensional spatial data
- fits permissible theoretical models to the empirical semivariograms, so that you can use them in subsequent analysis to perform spatial prediction
- produce plots of the empirical semivariograms and the fitted models
- provides isotropic and anisotropic measures
- provides the Moran I and Geary c spatial autocorrelation statistics
- obtain separate analyses on observations in groups
- save the context and results of the semivariogram model fitting analysis in an item store
- uses ODS to create a SAS data set corresponding to any table
- supports ODS Graphics
For further details see the SAS/STAT User's Guide:
The VARIOGRAM Procedure
( PDF | HTML )
Examples
- Theoretical Semivariogram Model Fitting
- An Anisotropic Case Study with Surface Trend in the Data
- Analysis without Surface Trend Removal
- Covariogram and Semivariogram
- A Box Plot of the Square Root Difference Cloud
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