Local Moran's I

Local Moran's I Statistics.

Options

Geometry column

The column containing the geometry to use for local Moran's I.

Transformation

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

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 Local Statistics.

Permutations

Number of random permutations for calculation of pseudo_p_values.

Keep simulations

(default=True) If True, the entire matrix of replications under the null is stored in memory and accessible; otherwise, replications are not saved.

Number of jobs

The number of cores to be used in the conditional randomization. If -1, all available cores are used.

Seed

Seed for random number generator. Default is None.

Input Ports

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Input table for calculation of Local Moran's I

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Spatial Weights table for calculation of Local Moran's I

Output Ports

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Output table results of Local Moran's I. The output table contains the original input table with the following additional columns: the local statistic value, p-value is the p-value for the local statistic value, z-score is the z-score for the local statistic value.

spots are the values that indicate quadrant location 0 Not Significant, 1 HH, 2 LH, 3 LL, 4 HL, spots_type has the values of HH (High-High), LH (Low-High), LL (Low-Low), HL (High-Low), Not Significant (the p-value is greater than the significance level).

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Views

Output View
The scatter plot of Local Moran's I

Workflows

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Links

Developers

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Installation

To use this node in KNIME, install the extension Geospatial Analytics Extension for KNIME from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: SDL, Harvard, Cambridge US
Plugin version: 1.3.0.202412051033
On NodePit since: 2023-12-06
Last update: 2025-01-01
KNIME versions: From v5.2 to v5.2

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