Local Getis-Ord G Statistics.
The column containing the geometry to use for local Getis-Ord.
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
Output table results of Local Getis-Ord.
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.
Standardized Gs
is the standardization of Gs.
spots
are the values that indicate quadrant location 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).
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!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.