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Heatmap in percentage #17761
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Author Name: Nyall Dawson (@nyalldawson) It's actually not quite that simple - the maximum value is not known until the entire heatmap is generated, it can't be calculated in advance. The actual process would be:
I'm wondering if it would be better/more flexible for this to be done via a step in a processing script. Problem is that heatmaps can't be generated via scripts at the moment - this would require moving the heatmap code from a c++ plugin to core (something which should be done at some time in any case). This is on my (distant) radar, alongside adding additional hotspot types such as Getis Ord Gi*. I'm hoping to get funding or some time of sponsorship to tackle this. |
Author Name: Jürgen Fischer (@jef-n)
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Author Name: Matthias Kuhn (@m-kuhn) Alternative for moving to core: |
Author Name: Jürgen Fischer (@jef-n)
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Author Name: Giovanni Manghi (@gioman)
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Author Name: Giovanni Manghi (@gioman)
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Author Name: Giovanni Manghi (@gioman)
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Author Name: Paolo Cavallini (@pcav) Still true in QGIS 3
Also a note on the help on how to interpret cell values would make life easier for newbies. to Heatmaps would be far more convenient (easier to interpret in many contexts) if they could (optionally) be expressed in % rather than in absolute values (in inverse values, so one could create isolines including, say, 95% probability). The change seems trivial:
Also a note on the help on how to interpret cell values would make life easier for newbies. |
Author Name: Nyall Dawson (@nyalldawson) I think this should be closed, and replaced with a feature request for a processing algorithm which scales raster values to percent of max. Heatmaps are part of processing now, so only the scaling algorithm is missing from this request.
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Author Name: Paolo Cavallini (@pcav) Fully agreed.
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Author Name: Paolo Cavallini (@pcav)
Original Redmine Issue: 9124
Redmine category:analysis_library
Heatmaps would be far more convenient (easier to interpret in many contexts) if they could (optionally) be expressed in % rather than in absolute values (in inverse values, so one could create isolines including, say, 95% probability). The change seems trivial:
Also a note on the help on how to interpret cell values would make life easier for newbies.
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