### Correlograms and Covariance Analysis

Correlograms and Covariance plots allow you to visualize both negative and positive autocorrelation when present – values near zero indicate no autocorrelation for that lag class interval. ### Moran's I

Moran’s I is similar in interpretation to the Pearson’s Product Moment correlation statistic for independent samples in that autocorrelation values range between -1.0 and 1.0 depending on the degree of correlation. ### Fractal Analysis

The fractal dimension D , also called the Hausdorff-Besicovitch statistic, can be calculated as the slope of a log-log variogram plot. GS+ provides both D and its standard error.  #### Standardized Variograms

Compute variograms as a proportion of sample variance Compute semivariance using differences or square roots of the distance interval pairs #### Drift or Trend Analysis

Detect underlying trends in your data #### General Relative Variogram

Standardize semivariance by the squared mean of the data used for each distance interval #### Pairwise Relative Variograms

Normalize semivariance by the squared average of tail and head values of each distance interval