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I had just gotten a new 2nd monitor to pair with my laptop. When I upgraded to 10.2 it had gotten a little lost!
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04-28-2015
12:55 PM
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I am trying to open attribute tables in an .mxd created in 10.0 and none of the attribute tables are opening for old or new data. I created a new .mxd and have the same problem. Obviously this is a rather huge issue. I've played with field formatting to no avail.
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01-13-2015
08:52 AM
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This is late in the game, but the next time you need to create multiple buffers, don't use the buffer tool. Instead, use the "Euclidean Distance" raster tool and then either reclass the distances or use a nested "con" statement to transform unique floating point distances into discrete "zones" that don't overlap. that's a really interesting suggestion. I will try it to verify the results I got from turning the raster into a vector layer. Thanks!
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12-18-2013
11:59 AM
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thanks for the feedback pharell123. I have been working with converting the raster into a huge vector layer. So, the polygons with common values (population) are dissolved together. Then I intersect the buffers with the polygons, and calculate population by: (area/pixel size)*pixel value. Since I need to do the stats per province, I also run an identity function and later sum by province name. Seems to be the magic bullet.
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12-06-2013
09:24 AM
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Greetings contributors...this is an amazingly informative thread. I am working on an independent study for M.S., the topic is "Land Use Influence on Water Degradation". My dependent variable is the length (in meters) of impaired rivers/streams expressed as a percentage of the length of all rivers and streams in the sub-watersheds of a larger watershed. Explanatory variables are both percentages and Percentage(log) of agriculture, grass/grain/pasture, development, and Forest (to explore a negative relationship), expressed as percentages per subwatershed. I have run numerous OLS processes, and none of the models gets past .9, dismally low considering I would like to see 75. Even when i isolate the watersheds with impaired water I still only get up to 35 (a drastic increase, but still low). Moran's-I is good though, no spacial auto-correllation in any of my models. Would GWR be better for this kind of analysis? What else should I try? Also...if I take the (log) of an explanatory variable, should I also take the log of the dependent variable, or would that simply nullify the transformation? thanks! Chris
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11-30-2013
09:49 AM
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I was able to set up for the first 10, seems to be running fine. I have a little experience using python and am trying to find the time to continue with it. Seems that there is an iterator or loop function you need to utilize in order to get the model to go back and run the process again with a new input and output. I wish I had thought of this last week! crunching away....
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10-30-2013
05:58 AM
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I've never done that outside the classroom. What a great idea! I don't really know that much about it, but I am learning a lot in this whole process. I can set it up for one buffer. How would I set it up to loop the process for all 10 buffers and then do it again for a second raster?
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10-30-2013
04:51 AM
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Update: I systematically chose the previous buffer to create the next one. I was doing 30 buffers, and I lost track of what I was doing. Thanks for your input! It was user error.
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10-29-2013
04:41 PM
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I really wish I could attach the shapefiles, but the data is proprietary and I had to sign a non-disclosure agreement to get this gig (its with an NGO)
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10-29-2013
07:23 AM
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(yes, I am sitting on top of this thread to find a solution!) All of the buffers are already dissolved, so that essentially I am dealing with discreet, non-intersecting polygons. The layer I used that has intersecting polygons accurately (as far as I could tell) sums of the population. Kinda odd. The problem of course is that i cannot add the population sums together because a huge portion of them would be counted 2,3,4 times over. Also, the individual processes should have no knowledge of the other buffers, they aren't present as an input.
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10-29-2013
06:24 AM
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thanks for responding. The buffers were generated through the buffer geoprocess, one by one. Another question I will post later is "why won't 'zonal statistics as table' work on multi-buffers? i have not triedthe straight zonal stats. I'll look into it.
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10-29-2013
04:39 AM
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I have a 100m^2 raster of population and a series of buffers: 1,2,3,4,5,10,15,20,25,30,50 km. I am tasked with finding the population per buffer, which I am doing by using the "zonal statistics as table" geoprocess. The pixel value (population) sum decreases between 2km and 3km, and even further 3km to 4km. It then jumps way up to what I would expect to be normal at 5km. I have not gone beyond that because these results are unusable. I have verified that the projections between layers are consistent. I upgraded to the latest service pack and got identical results upon reprocessing. Can anyone help me out with this? This is a seemingly simple and straight-forward process. I've also verified that the scale is all positive (not centered on 0 which would allow negative numbers).
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10-28-2013
06:50 PM
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I'm working on a project that includes storm drains, streets, and watershed data. I grabbed the elevation data from a DEM of my study area and it is now in the intersection pointfile attribute table created by the network analyst. Now, I am trying to incorporate that data into the street layer. The idea is to find the most direct route stormwater would take to get to a body of water. Using Z-data from the intersection layer, how would I incorporate this into maybe making all the streets appear to be one-way, and going downhill? i am pretty sure I need to re-do the Network Dataset and somehow incorporate the elevation data into it somehow...but i am hitting a wall. Any suggestions would be great! thanks!!
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10-02-2013
08:28 PM
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Thanks for the response...so do I only have to put in "CURRENT" within the parenthesis or do I need to add in the file path as well? I'm trying it with just "CURRENT" and it's not going through...
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12-11-2012
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