DK for Python | tatukgis_pdk.TGIS_ClassificationMethod | Classes | Properties
Enumeration of classification methods.
# Python class TGIS_ClassificationMethod:
Name | Visibility | Description | |
---|---|---|---|
DefinedInterval | public | The interval between class breaks is defined by the user through the Interval property. | |
EqualInterval | public | The range of attribute values is partitioned into equal-sized subranges by defining the number of classes through the NumClasses property. | |
GeometricalInterval | public | Class breaks are based on class intervals that have a geometrical series. | |
KMeans | public | Class breaks are determined using the K-Means Clustering Algorithm. | |
KMeansSpatial | public | K-Means algorithm is used to partition data into N=NumClasses spatial clusters based on objects centroids. | |
Manual | public | Class breaks are set manually by the user through the AddClassBreak method. | |
NaturalBreaks | public | Class breaks are determined using the Fisher's Exact Optimization algorithm. | |
Quantile | public | Class intervals are created to have an equal number of observations. | |
Quartile | public | Quantile method is applied with fixed property NumClasses=4. | |
StandardDeviation | public | Class breaks are set above and below the mean of the attribute values at intervals, for example at 1, 1/2, 1/3, or 1/4 standard deviations until all the data values are contained within these ranges. | |
StandardDeviationWithCentral | public | Same as StandardDeviation but class breaks are shifted by a half of the interval to get central class in range [Mean-Interval/2..Mean+Interval/2]. | |
Unique | public | Class breaks are set for unique values. | |