Moran’s I Global Autocorrelation Statistic.
The column containing the geometry to use for the spatial weights matrix.
If True (default), compute two-tailed p-values. Otherwise, one-tailed.
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.
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.
Select the variable you want to use for the analysis.
The variable column you want to use for the analysis.
Advanced settings for Global Statistics.
weights transformation, default is row-standardized “r”. Other options include “B”: binary, “D”: doubly-standardized, “U”: untransformed (general weights), “V”: variance-stabilizing.
Number of random permutations for calculation of pseudo-p_values.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
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:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!