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Have you seen this workflow for identifying highest (and lowest) points within a polygon using a DEM? Do see How To: Create points representing the highest or lowest elevations within polygon features In step 1E, for "Statistics type", select "All", then you can choose which values you want to use in the workflow (min, max). Summary "Using a Digital Elevation Model (DEM) raster and the Spatial Analyst extension, the location of the highest or lowest elevation can be identified for polygon features of interest. This procedure describes a basic workflow that generates a point feature class of the highest point within each polygon feature. In this example, highest elevations are used, but method this also works for lowest elevations."
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11-22-2016
10:07 AM
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I am sure there are other approaches that would work but the one I would try would be to create a new polygon feature class and then summarize your elevation values from your 3D polygon into this new polygon feature class. So you could start by creating a new polygon feature like a grid using the Create Fishnet tool, using your 3D polygon file as the Template Extent. You will have to play around with size or number of columns to get the desired grid of approximately 10k polygons. Then use the Summarize Within tool to summarize your elevation values into the new polygon file that you had created. Under Summary Fields, select your elevation field under Field and then Mean under Statistic. I am not sure how long it woudl take to run on such a large polygon of yours, or whether it is even possible. I have never attempted something as large as this before.
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11-17-2016
05:37 AM
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Eliminate works well for cleaning up data sets with small slivers. If I take a look at your images, then it looks like the size for each of your polygons would be almost identical, so therefore this may not be a good choice. IF you had polygon attributes (do you?), there are other approaches for summarizing these values to into larger polygons. For example, one could create a grid or hexogons at the required scale across this data set, then use tools such as Summarise Within to populate the grid or hexagons with attribute data. But this woudl only work in 2D, I am not sure whether your polygon is z enabled and you need it to stay that way.
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11-17-2016
04:56 AM
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Sorry, just reread your message. I am not sure whether this tool will work on a 3D (multipatch?) polygon?
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11-17-2016
04:26 AM
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You may find that Eliminate or Eliminate Polygon Part tools can assist in cleaning up this data set. Check out Eliminate Polygon Part—Data Management toolbox | ArcGIS for Desktop or Eliminate—Data Management toolbox | ArcGIS for Desktop . Unfortunately it does require an Advanced license.
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11-17-2016
04:24 AM
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Esri have just very recently released a geoprocessing tool, Locate Regions, that will assist in selecting the best areas from the output of a suitability or similar analysis. It is currently only available in Pro 1.3 but I believe it would also be available in ArcMap 10.5, due for release at the end of this year. This tool is part of the Spatial Analyst toolbox. In the tool you can ask it to select the best site, or any number of best sites, of any given size, shape, distance from other best sites, etc. It looks like a fantastic tool, do see Locate Regions—Help | ArcGIS for Desktop and How the Locate Regions tool works—Help | ArcGIS for Desktop .
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11-05-2016
11:03 PM
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If you are not sure what the projection of your shapefile/raster should be, I find it is easier to include other shapefiles with a known projection (or an ESRI basemap) within your map view, and then change the projection of your map view until your unknown shapefile matches up perfectly with your background data, then bingo, you have your projection to use in the Define projection tool as Dan suggested.
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11-04-2016
12:41 PM
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Hi Rod Did you try running the Band Collection Statistics tool with computing correlation and covariance matrices option selected? It takes any number of rasters as input and I just quickly tested it on two input rasters (elevation and NDVI, not knowing whether it would run on only two rasters), and the resulting output provides that there is a 33% correlation for my example area. See below. # CORRELATION MATRIX # Layer 1 2 # -------------------------------------------------------------------------- 1 1.00000 -0.33215 2 -0.33215 1.00000 # ========================================================================== As Dan suggested, you could then use your DEM to create slope, aspect, depressions, topographical positional index, etc. and correlate these with your yield raster.
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10-25-2016
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You may want to try running the Band Collection Statistics geoprocessing tool. You can supply any number of rasters and then make sure you select the Compute the covariance and correlation matrices option. The output is a text file that will indicate how closely the two rasters are correlated. After running a PCA, I used this approach to determine the extent to which the informing input rasters are correlated to the resulting PCA axes.
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10-23-2016
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In addition to advice on projection, I would create a new field and populate it using "no" in field calculator before applying the spatial join, then afterwards change selected records to "yes" .
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10-16-2016
05:33 AM
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I have also had several consecutive APRX files fail on me. I think the reason may be related to a particular gazetteer file that I enable for searching using the Locate tool. Since disabling this layer from the locate tool after use, it appears to have stopped, but more testing certainly required. I still need to submit case to Tech Support. Did you do something similar? I am running Pro 1.3.1 on Windows 7.
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10-11-2016
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Hi Job I am not behind my computer now but can confirm that you need to unzip the downloaded sentinel 2 file, then only rename the file with the .safe extension (if memory serves me well, perhaps it was. saf) ). Just shorten it and then point the script to this file. Once shortening file name, script works really well.
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10-10-2016
10:59 AM
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I occasionally find that small errors in the geometry can cause some of the geoprocessing tools to fail, particularly in large data sets. I may be stating the obvious, but have you tried running the Repair Geometry geoprocessing tool before buffering?
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09-12-2016
12:12 AM
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You should consider using the Incremental Spatial Autocorrelation tool in the Spatial Statistics toolset to find the distance band appropriate or meaningful for your data. "The peak distance values are often appropriate values to use for tools with a Distance Band ... " Do see http://pro.arcgis.com/en/pro-app/tool-reference/spatial-statistics/incremental-spatial-autocorrelation.htm Incremental Spatial Autocorrelation
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09-06-2016
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You may want to do this in two steps, (1) create feature, then (2) run append (appending the old feature attributes to the new one). But as Dan mentioned, we are not clear on what you want to achieve. .
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09-04-2016
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