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The Mosaic dataset consists of many rasters with different cell sizes. Spatial Analyst, by default, uses the largest cell size when more than 1 raster is used. For example, raster1 has a cell size of 10 and raster2 has a cell size of 20. When you use the Plus tool the output will have a cell size of 20. Spatial Analyst uses the largest cell size when there is more than 1 input raster, however, Mosaic datasets default to the smallest cell size, so in your case it'll resample to 3ft. Steve
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04-23-2013
09:12 AM
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Spatial Analyst resamples using Nearest. Automatic resampling is triggered when there are different cell sizes, changes in processing environment and/or projection changes. What you could try is to copy your raster from the mosaic dataset into a single raster dataset, use CopyRaster. You will then see what the cell size is and this is basically the raster that'll be contoured. Regards Steve
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04-23-2013
07:44 AM
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The Mosaic dataset consists of many rasters with different cell sizes. Spatial Analyst, by default, uses the largest cell size when more than 1 raster is used. For example, raster1 has a cell size of 10 and raster2 has a cell size of 20. When you use the Plus tool the output will have a cell size of 20. This is what is happening with Contour, all the rasters are resampled to have a cell size=largest. Steve
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04-22-2013
08:10 AM
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Spatial Analyst's IDW ignores all the coincident data. For example, if you have 5 points with the exact same location, then SA's IDW will ignore points (2,3, 4 and 5) or it'll ignore points (1, 2, 3 and 4). This is stated in the help, see the 4th usage tip in http://resources.arcgis.com/en/help/main/10.1/index.html#//009z0000006m000000 Regards Steve
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04-12-2013
07:40 AM
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If you think that the Default max distance is not honored then you could do a simple test. Spatial Analyst does not honor the Geostatistical Analyst's Coincident points option as you and the documentation state. Accordinding to the Spatial Analyst IDW help Some input datasets may have several points with the same x,y coordinates. If the values of the points at the common location are the same, they are considered duplicates and have no affect on the output. If the values are different, they are considered coincident points. The various interpolation tools may handle this data condition differently. For example, in some cases the first coincident point encountered is used for the calculation; in other cases the last point encountered is used. This may cause some locations in the output raster to have different values than what you might expect. The solution is to prepare your data by removing these coincident points. The Collect Events tool in the Spatial Statistics toolbox is useful for identifying any coincident points in your data. -Steve
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04-11-2013
08:33 AM
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The question to ask is not about the horizontal spacing but what is measured in the z direction. You may have 2 points that are 3.5 ft apart but the elevation difference is 2 ft. Or you may be contouring temperature values, what do you make the interval? -Steve
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04-09-2013
12:42 PM
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Natural Neighbor interpolation does not support extrapolation outside the convex hull. If you used IDW, you would set the output extent to the mask feature class and use the Mask = mask feature class -Steve
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04-09-2013
12:21 PM
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Daniel Some testing has been done running Desktop under BootCamp and it seems to work OK, however, there may be some issues like the crash you are having. Please see http://www.esri.com/software/arcgis/arcgis-for-desktop/system-requirements which has as note stating - Please note that ArcGIS for Desktop is not certified or supported on the Mac operating system. Regards Steve
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04-01-2013
03:16 PM
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I'm sorry to hear about the crash. Is it possible for you to zip the data and email it to me (slynch@esri.com)? Also, please tell me what type of Areal Interpolation you are trying to perform. What happens if you use a smaller subset of the data? Thanks Steve
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03-28-2013
03:04 PM
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Please have a look at some of the Geostatistical Analyst blogs, in particular http://blogs.esri.com/esri/arcgis/2008/09/29/understanding-geostatistical-analyst-layers/ -Steve
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03-27-2013
09:53 AM
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Also, there can only be one point that falls within the cell of the input inclusion raster. I.e if your inclusion raster has a cell size of 100m, then the minimum distance between points cannot be less than 100m. Also, if the inclusion raster has 1000 cells, then the max number of points cannot exceed 1000. You could, therefore, Resample your inclusion raster. -Steve
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03-16-2013
04:28 AM
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Do you have 10.1 and do you have a Spatial Analyst license?
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03-12-2013
08:10 AM
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A few ways to do it. - Use the CON tool in Spatial Analyst - use RasterToPoint, edit the values in the feature class and then do PointToRaster (remember to set the cell size and extent to that of your original raster) - RasterToASCII, edit the text file, ASCIIToRaster Steve
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03-12-2013
08:02 AM
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James krigingModel = KrigingModelOrdinary("SPHERICAL") kRadius = RadiusVariable(12) kCellsize = "#" kOut = Kriging("ca_ozone_pts", "ELEVATION", krigingModel, kCellsize , kRadius ) see the tool help for more examples. Steve
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03-11-2013
12:10 PM
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What happens if the data are in a feature class?. I.e it looks like your input is in a table. If you do, for example, kriging (no cokriging), does it work? Thanks Steve
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03-11-2013
09:11 AM
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