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Please use CopyFeatures to copy your data to a feature class and if the error persists when using the feature class then set the Processing extent to it in the Environment Settings.
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02-26-2018
07:56 AM
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use the CellStatistics tool and pay particular attention to the ignore_nodata parameter and specify the extent in the environment = MAXOF
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02-06-2018
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For the Spline with Barriers interpolation tool, the enhancements that were made when the tool was implemented in ArcGIS Pro 2.0 are now also available in ArcGIS 10.6. Let’s have a look at the history of this tool, and some example applications. Tool History The Spline with Barriers tool was first implemented in ArcGIS more than ten years ago. It was included in the Spatial Analyst and 3D Analyst toolboxes initially as a script tool which called a Java library that performed the interpolation. The tool was not included in the initial release of ArcGIS Pro. However, for ArcGIS Pro 2.0 the tool was rewritten in C++ with some optimizations and bug fixes. This improved C++ implementation is now also available in ArcGIS 10.6, and has replaced the older Java implementation. Applications Often we have a variable that is spatially not continuous and we want to use interpolation to produce an output raster that has values everywhere. For example, soil characteristics, or water quality in a braided meandering stream. In these cases you can use Spline with Barriers and specify either a polygon or polyline feature class to define the boundary of the discontinuity. Methods and comparisons Spatial Analyst and 3D Analyst have two interpolation methods that have an optional barrier input, those being IDW and Spline with Barriers. The main difference between IDW and Spline with Barriers, other than the algorithm, is the way in which the points that are to be used in the interpolation are defined. IDW uses a “line of sight” approach, which means that if a point can’t be “seen” because of a barrier, then it is not used to make the prediction at that particular location. Spline with Barriers, on the other hand, weights the points based on the shortest distance around a barrier. In the illustration below, IDW (on the left) will only use 3 points to make a prediction when a barrier intervenes. In contrast, Spline with Barriers will utilize all 4 points to make the prediction. Figure 1: Searching neighborhood for IDW (left) and Spline with Barriers (right) when using a barrier. Case Study As an example, we’ll use the same case study described in Creating Faulted Geologic Surfaces with ArcGIS by Mike Price in the ArcUser Summer 2014 issue. In this article, the Spline with Barriers tool (the original Java version) is used. We’ll use the point feature class, which contains the depth to the top of the Mississippian Leadville Limestone, and a polyline feature class defining the subsurface faults, to create an output depth raster with a cell size of 5 meters. Figure 2: The geoprocessing tool dialog is on the left. To the right is the output depth raster, with the input points and barrier layers displayed on top. Figure 3: The output depth raster displayed in a 3D perspective view. Note the steps created by the barriers. We often rely on contour lines to aid our interpretation of an interpolated surface. However, in the vicinity of fault lines there may be abrupt changes in the depth values between some adjacent raster cells. As a result, we cannot use the standard Contour tool as it will incorrectly produce many contours in these areas. The Contour with Barrierstool is well suited for this type of data as illustrated in the images above. Conclusion This exercise shows how to model the elevation of the top of the Mississippian limestone in Lisbon Valley, Utah, using only formation top elevations and fault barriers to generate a reliable predictive elevation surface.
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01-25-2018
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'Tunde We don't offer 3D interpolation in ArcGIS currently, however, we will have something in the future, still too early to say exactly when. With your data you'll be able to use the location (x,y) and interpolate on depth or porosity to create a depth or porosity surface. -Steve
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01-25-2018
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olatunde.mosobalaje I have a few questions. what do you want to use Geostatistical Analyst for? when you run Make XY Event Layer, what spatial reference do you use? If you've supplied the correct spatial reference then the points should draw correctly on the default basemap. You don't have to change anything. In Geostatistical Analyst coincident data are points that have the exact same (x,y) location. It might help if you tell us what spatial reference you picked and include a screenshot showing some of the records from the .csv file. Regards -Steve
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01-24-2018
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David In the first image - you also need to check the presentation quality checkbox. If you're using the Wizard you can use a raster as input. However, from scripting you'll first have to create a template layer and then use the CreateGeostatisticalLayer tool to modify the input if necessary. See Automating geostatistical interpolation using template layers Can you copy your raster to .tif format using the CopyRaster tool and zip it and send it to me at [email protected]? -Steve
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01-03-2018
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David After you create the geostatistical layer you can persist it using SaveToLayerFile. Or you can run your script from the Python window and then all outputs will be added to the map. Then open ArcMap and load the layer file and change it to presentation quality via the Symbology tab. BTW, which version of ArcGIS are you using? -Steve
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01-02-2018
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David The first image that you show, please can you show the contour lines on the GA layer and not on the exported raster. From what I see is that he lines and the raster don't line up. Make sure that the GA layer is rendered in presentation mode and that the contours are also exported with presentation quality. Also, have you looked at Create Filled Contours? -Steve
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01-02-2018
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Smoothing the contour lines after the fact can result in overlapping/intersecting lines, be careful. I would suggest that you rather smooth the raster, from the Contour tool's help...
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12-18-2017
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We have a raster with pixel values = 799; 802; 791, etc. and we want a contour line at 830 (for example). The algorithm bisects each pixel and calculates the value at each node (814; 809; 838; 834).. It'll then determine where on these lines the value=830 (see red dots) and then finally construct the polyline which is the 830 contour. Contouring is like slicing a potato, each slice = contour 🙂 This applies to the Contour tool in Spatial/3D Analyst.
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12-08-2017
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Daniel Sorry about this. We have logged an issue and it'll be looked at post ArcGIS Pro 2.1 -Steve
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12-07-2017
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Have you looked at the Standard error of prediction map? Did you look at the cross validation page? are you transforming the data? have you tried other kriging models? different semivariogram models? parameter optimization?
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12-01-2017
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1) Have you tried to decluster the data when using kriging in Geostatistical Analyst? 2) how different are the values within each cluster? 3) please also show a map of the interpolated surface and a screenshot of the semivariogram
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12-01-2017
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RasterToPolygon only uses the first band from a multiband raster. It looks like you have a 3 band raster.
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11-17-2017
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