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Unfortunatly I did not due to deadlines and such forcing me to progress with other methods. From what I have gathered over time it seems like the ArcGIS software suffers from bugs when it comes to built in tools, these tend to grow when working in server folders. I'm not saying this is the case for us here. However I have encounterd many situations when a certain operation works just fine on C: while it does not on a server. Or when re-run. Sorry I could not provided a solution and feel free to comment if you find one.
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10-22-2019
01:42 PM
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Hi, Thank you for a thorugh response. As I have been away on a bussiness trip I'm a little late in my reply. I hear what you are saying regarding interpolation methods and it is clear that no one interpolator is best in any given situation. But surely, there must be a general rule of thumb for some situations in a specific setup. Consider the case of a relatively ordinary terrain with no vast local variations. A grid with processed laserscanned elevation data of high accuracy and with a 2x2 m spacing. One can expect a high spatial correlation between adjacent points and no extreme changes between two points (unless there is a wall of a cliff, excavation, tunnel etc). There must be one or a few interpolators to prefer over others in terms of quality. The goal is ofcourse to produce a surface with best resemblece to reality. Sincerely David
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10-01-2019
01:28 PM
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As I posted on my mobile I realise thr question went in the title instead. I Will try to formulate it in whole below instead. From what it seems I cant edit the title either. Atleast not from a mobile browser. Anyway... This question might not have a simple answer and I have read about it in a vast number of articles and forums. All with a different conclusion. Anyway, I have elevation data in an evenly spaced 2x2 m asciitab. I want this data interpolated to a surface. Which of the methods will achieve this rask with best accuracy? From what I gather kriging works best for scattered data points with an uneven spacing, but can not pass through points, giving it a small error marigin in the actual location of the data points. Nearest neighbour is supposed to work well with evenly spaced data but can not extrapolate beyond the max and min bounds of the dataset. In some studies something called anudem has been mentioned as best and also idw has been recommended as it handles steep slopes such as cliff/medge. Natural neighbour has also been recommended but seems more suited for data with dense points in some areas and more scattered in others. I do not know what conclusion to draw from all theese contradictions. If somone has a recommended report or knowledge to share in this question I would be thankful!
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09-21-2019
06:21 AM
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Hi, I will start by apologizing if this question has already been answered. I was trying to browse the community but without luck. Anyway... I have installed ArcHydro tools on my desktop version of ArcGIS 10.4.1. When I'm trying to use DEM Reconditioning to burn in stream features into my filled DEM I end up with a raster consisting of only the stream lines rather than the whole DEM with linear sinks in the topography. I have attatched a picture for reference. This error has also occured for me when I'm using raster calculator to take a raster version of the stream lines and subtract te original DEM by the stream raster. Is anyone familiar with this tool and associated problem? What am I doing wrong? I'm all out of ideas as how to solve it.
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01-05-2018
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