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I've got three variables that I'd like to show as a red-green-blue composite map. It is easy enough to do this as a raster. I convert each attribute in the table to a raster and then create an RGB color composite. However, being able to view these data as polygons (or points) would be better because of the irregular boundaries and issues with scaling (i.e. I can give boundaries an identical color to the polygon interior to make them more visible or use points to represent especially small polygons). Is there an easy way to do this in the vector world? The only thing that I can think of is to go in and set the color for each individual polygon according to red, green, and blue columns.
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11-12-2020
03:38 PM
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This has been added with the Generate Points from Along Lines tool in the Sampling Toolset in the Data Management Toolbox.
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11-05-2020
03:53 PM
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The best tool for doing this is the Marine Geospatial Ecology Tools https://mgel.env.duke.edu/mget/download/ . They are awesome and run all sorts of modeling methods like random forest, classification trees, mixed effects models, etc. However, I don't think that they have migrated to Pro yet.
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11-05-2020
03:51 PM
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The best tool for doing this is the Marine Geospatial Ecology Tools https://mgel.env.duke.edu/mget/download/ . They are awesome and run all sorts of modeling methods like random forest, classification trees, mixed effects models, etc. However, I don't think that they have migrated to Pro yet.
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11-05-2020
03:51 PM
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In Spatial Analyst we have the local toolset for working with individual pixels, neighborhood tools for groups of pixels, and zonal statistics for irregular groups of cells/polygons, but there is no tool that transforms entire rasters. What about a toolset that transforms rasters into percentiles, quantiles, z-scores, standardizes, etc.? This would be super useful and would be a great asset to the existing tools.
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11-05-2020
03:47 PM
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Hi Bill. Correct. It isn't hard to put together a tool that does this in ModelBuilder. I just think that it would be a nice one for Esri to include in their standard tools so that people don't have to build a model.
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08-28-2020
04:22 PM
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I'm not sure that I 100% follow, but this is a very common workflow for me in Desktop. I frequently have polygons that I want to pull raster values to. Sometimes these are forest stands. Sometimes individual Landsat pixels. Points are fine, but many times having the individual footprints of the polygons are essential, especially with rasters where different rasters may have different cell alignments.
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08-28-2020
10:22 AM
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Extract multivalues to points is a user-friendly easy-to-use tool. I'd like to see an Extract multivalues to polygons tool. Currently this can be done in one of two ways. The first option is to convert the polygons to a centroid point, run the extract multivalues to points tool, and then join the results back to the polygon. The other option is to run the Zonal Statistics as table tool and join those results back. Why not save a few steps and just create an Extract Multivalues to Polygons tool?
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08-27-2020
10:40 AM
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I suppose that one way that this might get coded is by dropping one raster at a time in the stack and seeing if that breaks the tie. This could be done with python without having to modify the source code of the Cell Statistics tool. But ... I would still prefer if Esri just added these options to the Cell Statistics tool itself (NODATA, RANDOM, FIRST, LAST).
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08-09-2019
02:16 PM
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I can think of how to implement the NEIGHBORHOOD option in Model Builder. FIRST, LAST, and RANDOM are trickier without knowing exactly how the underlying code in the cell statistics tool works.
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08-09-2019
01:45 PM
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