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Interesting. After creating the surface, I will be doing some raster calculations against this layer and multiple other raster datasets. Any issues using a terrain dataset for this?
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06-11-2017
03:18 AM
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Hi Dan Patterson. Coordinate system With the query layer (4326) I set an environmental variable to output the results in a projected coordinate system. With the Enterprise GDB/File GDB, the data had already been projected into a pcs. Point to Raster Good suggestion. The 'cell size' of the point layer is 40m. Would have been desirable to interpolate to 5-10m, but resampling might be an approach there. I assumed (disregarding size of the dataset for now) that Nearest Neighbour would have been the optimal approach for this? And what if the orientation of the points is not exactly linear, would this not cause an issue? Hmm. Just tried running the tool and it produced an empty output. Will investigate. EDIT I got it to output a layer, but it does not convert all the points. Interestingly, if I apply a graduated renderer, it ends up not showing all the points (the same as what does not get created by the point to raster). The points that have not been rendered have values assigned to them and are valid geometries. Does this provide a clue into what could be causing the issue? Below: Layer with a graduated renderer. Layer with a simple renderer (squares). A simple result of the point to raster tool. The Point to Raster output matches the same values not rendered by the unique renderer. All those datapoints have a value behind them. Perhaps when it tries to come up with a classification scheme, a graduated renderer stops scanning a table after a certain number of records? From an interpolation/point to raster perspective, seems like it might be hitting this same issue and not outputting the correct result? Point to Raster output full extent: This does not look correct in several areas (that match up to the areas that fail to render with the graduated renderer)
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06-09-2017
10:33 PM
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I have a layer with over 7 million records. This is in a fine mesh grid (output from a 3rd party modelling package. The source data is a simple table in SQL Server containing a geometry column (4326). I need to interpolate this using either Natural Neighbour or IDW using a variable in the dataset. I have used a smaller area and have been happy with the results I have been getting. I have replicated the below in ArcGIS Pro 1.4 and 2.0 beta and also in ArcMap 10.5. I have 16GB RAM and a decent CPU and a dedicated GPU. Using Spatial Analyst IDW Using the Query Layer Completes ~5 minutes Result is an empty raster with no data. Using Enterprise GeoDatabase Completes ~2 minutes Result is an empty raster with no data. File GeoDatabase Completes ~2 minutes Result is an empty raster with no data. Using Spatial Analyst Natural Neighbour Query Layer ~5 minutes = Empty Raster File Geodatabase 38 seconds = Empty Raster I also have Geostatistical Analyst, and did see it had some options for parallel processing, but I also spotted that IDW does not have a search distance which I need. Can anyone give me some pointers on how to interpolate this dataset?
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06-09-2017
05:57 PM
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I should point out that the output is set as a parameter and can confirm that the layer is still not added to my Contens after running the tool from the dialog.
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06-08-2017
10:02 PM
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Running 1.4 Have a model that I am running from the dialog box. The final output in the model has 'Add to display' enabled and is not a managed layer. However, I am aware this setting only works when running the model from within Modelbuilder. According to the ArcMap help: Add To Display has no effect outside ModelBuilder. When running a model tool from its dialog box or the Python window, the Add To Display setting will not be honored. To add model data variables to the display when running the model from its dialog box or the Python window, make the data variable a model parameter, then enable the Add results of geoprocessing operations to the display option from the Standard toolbar: Geoprocessing > Geoprocessing Options > Add results of geoprocessing operations to the display. Where is this setting in ArcGIS Pro?
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06-08-2017
06:29 PM
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Sorry, should have had that enabled in my screenshot for consistency. However, makes no difference.
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06-07-2017
09:59 PM
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Hoping I might be missing something here. In ArcMap, when symbolising a raster with a stretched renderer, you could edit the High/Low values as so: I cannot spot this in ArcGIS Pro?
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06-07-2017
08:48 PM
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Can understand why you would assume QoE would be ordinal as sounds like something you would survey from people, but it is actually a measure calculated from download throughput. I do appreciate this is still very early stages in the data exploration, and definitely treading carefully. Still toying between a raster vs vector based analysis. The below animated gif might give you a better indication of the data I am working with. Still needs a lot of work, some outliers to remove, etc, but would still be very interested to hear additional thoughts you might have.
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06-07-2017
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Hey Dan - appreciate your thoughts. All three datasets are I believe interval data and not nominal or ordinal. Let me edit this answer in a bit with some summary stats and screenshots to give you a better feel for the datasets. This might change your answer? As for 'weighted anything' ... is it supported by fact, observation or conjecture We will be doing some statistical testing in order to come up with the weightings.
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06-04-2017
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I have four datasets - point layers with different measurement variables, covering the same extent. I think a raster based approach makes sense (although will also be investigating a vector binning approach later on) so I have calculated interpolations upon these different datasets. The results are 4 continuous surfaces (floating point). They share the same area, but some have holes in the surfaces (which is expected). Quality of Experience (~0-20) Radio Metrics (~0-150) User density (~0-60) High Strain on the network = High Quality of Experience + High Radio Metrics Low Strain on the network = Low Quality of Experience + Low Radio Metrics + High User Density I was initially thinking this would be a good candidate for a weighted overlay, but then realised that I would have to reclassify the input datasets into discrete bands. I want to avoid this and maintain the continuous values in the datasets, as I am hoping to output a strain layer that is also continuous (Strain will be a measure anywhere between 0-100). I am now thinking I could potentially achieve what i want using standard raster calculator expressions within a model, but feel like I am missing something and there might be another set of overlay tools I should be looking at? I was wondering if I could call upon the brains of this Analysis group to perhaps brainstorm some approaches for the above scenario. This is just an initial investigation project. Longer term I would actually like to investigate how the new Raster Analytics Server might be able to play a part in this workflow as the underlying datasets are changing frequently.
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06-04-2017
02:57 AM
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Thanks Dan - the combine tool and your comments in the other post are very helpful.
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06-04-2017
02:21 AM
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Thanks everyone for the extra info. It was due to Anaconda setting the PATH variable. I actually fixed it by installing the beta v2.0 of Pro and this corrected the PATH for me.
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06-04-2017
02:18 AM
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With Vector data I can understand correlations between layers using regression tools such as OLS. What tools would be suitable to understand the correlation/relationship between two (or more) different rasters? I saw Band Collection Stats but I think this just outputs a table. Was hoping to have an accompanying spatial output as well. Any pointers would be great.
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06-01-2017
05:44 AM
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Running ArcGIS Pro 1.4 on a Windows 10 machine. Also have Anaconda installed. When I create a new project in ArcGIS Pro, I get the following under the Python Package Manager: What steps do I need to carry out to fix this up?
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06-01-2017
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