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Hubert-Kehagias Aggregation

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Summary

Perform a basic Hubert test and aggregate homogeneous segments in an AGO field.

Tags:
hydrography, hubert, statistics, aggregation, ago, dgo, segmentation

Usage

Aggregate disaggregated objects with respect to a given metric, using the Hubert-Kehagias segmentation procedure. A ID_AGO field is created to identify the homogeneous segments. The Hubert Test is an univariate statistical test based on the standard deviation, enabling to identify locations of breaks into a set of numerical data. The output set of data is modeled as succession of straight and constant lines (or “segments”). (Roux et al., 2014)1

Hubert AGOs (Figure from (Roux et al., 2014)1)

Parameters

Parameter Description Type
Input features to aggregate
INPUT
The table containening the metric do aggregate and an ordering field Table or any kind of geometry with associated table
Segmentation Metric
METRIC_FIELD
The field containing the metric to aggregate Field
Ordering Property
ORDERING_FIELD
The field used to order the input table Field
Dissolve Objects
DISSOLVE
If true, the output will be a dissolved layer by AGO Boolean
Aggregated Geographic Objects
OUTPUT
The output table with the ID_AGO field Table or any kind of geometry with associated table

See Also


  1. Roux, C., Alber, A., Bertrand, M., Vaudor, L., & Piégay, H. (2014). “FluvialCorridor”: A new ArcGIS toolbox package for multiscale riverscape exploration. Geomorphology. https://doi.org/10.1016/j.geomorph.2014.04.018