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implement an algorithm that creates a classification layer from a rendered image #611

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janzandr opened this issue Sep 8, 2023 · 0 comments · Fixed by #617
Closed

implement an algorithm that creates a classification layer from a rendered image #611

janzandr opened this issue Sep 8, 2023 · 0 comments · Fixed by #617
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feature request New feature or request priority: high

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janzandr commented Sep 8, 2023

The idea is to automatically derive classes from rendered RGB data. Such classifications are especially useful for creating stratifications from continuous raster data.

Useful stratifications may be defined via the singleband pseudocolor renderer, where we can easily control the number of classes and strata edges (e.g. Equel Interval, Quantil, Continuous).
image

Such stratification can be used for stratified random point creation.

@janzandr janzandr added feature request New feature or request priority: high labels Sep 8, 2023
@janzandr janzandr added this to the 3.13 (feature) milestone Sep 8, 2023
@janzandr janzandr self-assigned this Sep 8, 2023
janzandr added a commit that referenced this issue Sep 11, 2023
@janzandr janzandr linked a pull request Sep 11, 2023 that will close this issue
janzandr added a commit that referenced this issue Sep 11, 2023
…t-creates-a-classification-layer-from-a-rendered-image

resolved #611
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