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Julia, TIN has a physical limit to the size it can be, or more bluntly, the number of nodes it can contain. It is subject to about 15 million nodes. There is documentation on this and other suggestions we offer, such as not even exceeding 4-5 million for performance reasons. TIN's are therefore not what you want when working with a large area, such as several DEM's, or hundreds of DEM's. You didn't really say how many you have. For example, a standard 1/3 arc second DEM from USGS is 10812 x 10812 pixels. This would equate to 116,899,344 nodes if converted to TIN, which means it's not going to work. Why do you want a TIN? Best, Eric
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08-02-2012
12:08 PM
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Hi Alex, I think you should try the Surface Difference tool. Best, Eric
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08-01-2012
10:48 AM
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One of the "4 rasters" is the composite image. The other 3 are the bands. The clip tool doesn't work the way its being described in this thread. It's not even capable of doing what is being suggested. Eric
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08-01-2012
10:38 AM
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Run the Mosaic to New Raster tool. Optionally, you could have run Merge on all the polygons to create one polygon feature class with all codes, and then converted that to raster. Regards, Eric
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07-02-2012
10:56 AM
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I think what he is getting at Shitij is that he doesn't have a schema to begin with. His table is only data without field names. Table to Table will interpret the first row of 'data' as the 'fieldname', correct? I don't think we have a tool to do what he is asking for. We expect you to have field names in your table prior to input into any tool. How do you know what the data represents without field names when just working in Excel? Is it common practice to omit field names from spreadsheet data? Regards, Eric
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06-29-2012
02:05 PM
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Hi Tomas, Con(isnull(treeraster),(dem),(dem)+treeraster) is the one to use. The treeraster in this example is created from polygons that have an attribute of height (such as 15 m) and have been converted to raster using that attribute for the value field. This would result in a raster that has pixels with a value of 15 underneath the polygon, but NoData where you have no polygons. Eric
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06-26-2012
08:00 AM
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Greetings, Do the buffer polygons overlap each other? They are converted to raster internally which means overlap is not possible in raster form - a pixel can only be 1 value. The only other thing I can think of is that the polygons are really small relative to the resolution of the raster being sampled. For overlapping polygons you need to iterate through each feature and process them individually. Be sure to set your snap raster and cell size in the environments. Best Regards, Eric
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06-25-2012
09:58 AM
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Greetings, If they are defined at all it will be in the GRID's prj.adf file accessible through windows explorer. Usually metadata is used to tell you what the units are though. Eric
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06-25-2012
07:18 AM
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Please use the Warp From File tool rather than the Warp tool. It's available in ArcGIS 10.1. Regards, Eric
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06-22-2012
06:52 AM
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The classification statistics box on the Classification dialog (on the classified renderer) are an estimate. Not all of the values are used when the input is floating point which typically a density raster would be. It would be too slow. If you want to have more accurate stats in this dialog you can follow the steps outlined in one of our knowledge base documents. HowTo: Compute the histogram with all the unique values, when using the classified renderer Johannes- Zonal Stats does not estimate the value of all pixels below your mask. Maximum Likelihood wouldn't be used on a Density surface. Please describe the issue you are seeing with your data. Best, Eric
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06-21-2012
10:11 AM
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You could just try running the clip tool under Data Management Tools > Raster > Raster Processing, or if you wish to use Extract by Mask, you could try to convert the polygons to raster and use the resulting raster as the mask input. I've never seen Extract by Mask do that before....Weird. Hopefully one of the other options will get you going. Best, Eric
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06-20-2012
11:06 AM
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I am also trying to make sense of the density tools. Here are my settings. Spatial units = meters. Output cell size = 1000m, Neighborhood is circle of 50,000m, Area Units = Square Kilometers. The numbers in the output seem very low ranging from 0.2-7.2. The file consists of over 400,000 points. Are these values # of points/km2 within each neighborhood centered on analysis cell? For example, if 2000 points occur in the neighborhood then for the output cell (or analysis cell) the value of that cell will be # of points/neighborhood area(in area units defined here as square Km) or 2000/7853980 Km2 = 0.0002546 pts/km2? Is that correct? Matt, The density values are calculated for each cell. The cell center is where the neighborhood begins. Your example came to the wrong answer. Attached is how you would obtain something that fits in your range of 0.2 -7.2 using your example of 2000 points occurring in a neighborhood that size. Best, Eric
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06-20-2012
10:59 AM
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Most of the NAIP I come across is MrSID format. This could easily be where your performance hit is coming from. Have you built overviews on the mosaic dataset?
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06-19-2012
01:17 PM
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I'm pretty sure it is against the MICROSOFT BING MAPS SERVICES TERMS OF USE to copy the data locally.
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06-15-2012
07:57 AM
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Richard, I can assure you we are fully supporting the Tiff format. It is our default output format for any tool in Data Management > Raster, assuming your workspace is set to a folder rather than a geodatabase. It is the format we recommend using if you're serving raster data. It is the format I most often work with and we definitely know how widespread the format usage is. Tiff is kinda like vanilla ice cream in my opinion. We have also added support for BigTiff format. If a tool fails to output Tiff, but works with other formats it is a defect with the tool, and should be reported to Esri Support for further investigation. Best Regards, Eric
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06-14-2012
02:39 PM
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