Global Moran's I

Moran’s I Global Autocorrelation Statistic.

Options

Geometry column

The column containing the geometry to use for the spatial weights matrix.

Two-tailed

If True (default), compute two-tailed p-values. Otherwise, one-tailed.

ID Setting

The unique ID column. The values need to match the values from the ID column selected in the Spatial Weights node. The selected column must contain unique IDs for each observation in the input data of type integer.

ID column

The selected column should contain unique IDs for each observation in the input data and should be of type integer. The values need to match the values from the ID column selected in the Spatial Weights node. If you selected 'none' in the Spatial Weights node select it here as well.

Variable Setting

Select the variable you want to use for the analysis.

Variable column

The variable column you want to use for the analysis.

Advanced Setting

Advanced settings for Global Statistics.

Transformation

weights transformation, default is row-standardized “r”. Other options include “B”: binary, “D”: doubly-standardized, “U”: untransformed (general weights), “V”: variance-stabilizing.

Permutations

Number of random permutations for calculation of pseudo-p_values.

Input Ports

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Input table for calculation of Global Moran's I.

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Spatial Weights table for calculation of Global Moran's I.

Output Ports

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Output table results of Global Moran's I. The output table contains the following columns: the local statistic value for the input geometry, the p-value for the local statistic value, the z-score for the local statistic value.

Popular Predecessors

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Views

Output View
Output view of Global Moran's I. The interactive view shows the density plot of the statistic values for permuted samples. The red line is the value of Moran’s I The blue line is the expected value under normality assumption.

Workflows

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Links

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