Map that highlights clusters of locations that are similar to each other. Maps of clusters are
available only for empirical models.
Location similarity threshold.
The similarity that is required to create clusters. The value must be a number greater than zero
and less than 1.
Specify maximum number of clusters.
The maximum number of clusters to display.
Model Evaluation Tables
Model Specifications.
Summary of specifications that are used to run the analysis, including target, input, and
location fields.
Temporal Information Summary.
Identifies the time fields and time intervals that are used in the model.
Test of Effects in Mean Structure.
The output includes test statistics value, degrees of freedom, and significance level for the
model and each effect.
Mean Structure of Model Coefficients.
The output includes the coefficient value, standard error, test statistics value, significance
level, and confidence intervals for each model term.
Autoregressive Coefficients.
The output includes the coefficient value, standard error, test statistics value, significance
level, and confidence intervals for each lag.
Tests of Spatial Covariance.
For variogram-based parametric models, displays the goodness of fit test results for spatial
covariance structure. The test results can determine whether to model the spatial covariance
structure parametrically or to use a nonparametric model.
Parametric Spatial Covariance.
For variogram-based parametric models, displays parameter estimates for parametric spatial
covariance.