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Once you create the slope raster, you can use the Reclassify tool to convert to a raster with the different slopes indicated or use the Extract by Attribute to select a certain selection. Furthermore there are options with the CON statement to sort through the values. So there are options.
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08-13-2012
06:19 AM
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With the Spatial Statistics tools, you can use the tool called 'Mean Center', does that help? I am not sure how Zonal Statistics and the point density raster will help you determine the center. The point density or kernel density can create a raster and then focus the density, the highest point I suppose could be the center.
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08-13-2012
04:36 AM
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When you get around to testing it, I would recommend trying the Add Surface Information tool to determine the height of the point on the DEM and then compare it to the inherent z elevation. This should be the most direct test to determine if the point is indeed below the surface. If it is, then you can consider whether the elevation is incorrect for the surface or if there are other issues. If it is the same, then I would recommend creating the point at the desired height again that is above the surface. Let me know if you have questions when you get off the sideline.
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08-13-2012
04:17 AM
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1921
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So you have a series of points, collected at 5 cm increments and are looking to create a raster? You could try a Spline to interpolate between the points, or if you have 3d Analyst you could create a TIN or Terrain to visualize it. Each would create a continuous surface. I suggested the Spline to rubbersheet and maintain the heights at the point. Does that help? It might also be interesting to convert the points to 3d and visualize in ArcScene to see if there are any issues with the data prior to interpolation.
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08-13-2012
04:10 AM
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Here is a blog that discusses how to adjust the background processing. Can you provide any other information about the rasters you are trying to add? Location ? Network or Local? Bit Depth? Number of bands? File Size? When was the geodatabase created or does it happen with a new one?
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08-07-2012
12:52 PM
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I would recommend of the zonal statistics or zonal statistics as a table. They should create the desired output. With the Zonal Statistics as a Table, you will have to join the table back to the original shapefile.
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07-26-2012
10:31 AM
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624
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You might consider the Reclassify tool in order to determine the areas. Since you have the quantile classification already, you could create a new raster into the 5 classes and then the area would be easy to calculate.
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07-24-2012
07:16 AM
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670
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Always be sure that the point file being used is above the DEM being input. I have seen many situations where the point is below the input DEM and an error will prompt. Also I cannot see your full path, but it appears that you are exporting to the Q drive. Does the same behavior happen when you output locally?
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07-20-2012
03:37 AM
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1921
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What were the resampling methods used to display each raster? If the cell sizes are the same, then there must be something else creating that look. I would consider the resampling method being used to display the raster under the layer properties. Also if the issue is only in the pyramids, consider altering the resampling method used to create the pyramids. Perhaps switching from Nearest Neighbor to Bilinear will make the displays match.
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07-17-2012
03:16 AM
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7954
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Without seeing your lidar data, it is difficult to know, but perhaps you might need to consider whether the lidar data was obtained or generated for the buildings. Perhaps the values created reflect the height above the ground rather than the true elevation. In that case, if you added the building values to ground elevation you would have a building with a height of 427 or in your case, 214 meters above the ground. I have not seen much lidar like this, but perhaps you should consider it.
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07-17-2012
03:10 AM
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943
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You can export the attribute table to a .dbf, while opening the attribute table of the original raster. If that is your desire, then that should not be too bad. The NetCDF format is designed to provide a n dimensional look at the data. So if you had landcover pixels for multiple years then the NetCDF may be the format. That way the lat/lon and multiple values could be listed by date and you could spin through the raster by selecting different values. I am not sure if the NetCDF will allow you to access the original attribute table of the landcover data in the manner you are looking for. For instance, normal NetCDF data is water temperatures that are collected over a time period and usually a depth. So then you can select a particular depth and then scroll through each time period. If you only have a Landcover dataset for one year, I am not sure if that will get what you want, but if you simply want to see the information in the landcover raster in a text format there are other ways. From my limited understanding of Matlab, a text file should work and it does not have to be a NetCDF.
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07-12-2012
05:19 AM
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For specific help then if those suggestions do not work, then I recommend creating a Support Incident to look over your workflow. Something is still not correct, because while the skewing should happen without the transformation, you should see some effect from either projecting the raster or using the proper transformation.
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07-12-2012
05:08 AM
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2405
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What transformation are you using in the map document? Have you considered projecting the data into Illinois Harn? I would recommend either of those options, depending on your workflow. Setting the correct transformation in the map document or using the correct transformation to project the data should fix the "skew." In this blog, it discusses how to choose the desired transformation.
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07-11-2012
10:51 AM
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2405
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The NETCdf is going to be like an ascii file with the data in a matrix of sorts, so the normal size convention will not apply. I am not as concerned about the size, but if the variables being selected during the create process are making it read as invalid, then that is the problem. You say the raster has an attribute table, do the values in the field names correspond to normal NETCdf variables or are they unique. I would keep the lat/lon as the same, unless that is actually corrupted. The NetCDF layer has certain variables it is usually expecting. I am not sure what the variable names are you are specifying or if you are trying to push the New NetCDF into another coordinate system. I would consider what coordinate system you are using if you are defining it or the field names as whether they can be used as valid fields. What value are you specifying for the value of the NetCdf?
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07-11-2012
03:14 AM
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