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Does anyone know if the bug that was identified in ArcGIS 10.0 has been fixed in 10.1 so that the confidence envelope will follow the blue expected line??? Or will it always fall outside if the point process is inhomogeneous?
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12-12-2012
08:26 AM
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I too have been having the same problem with the expected line falling outside the CI. See attachments... pattern analysis shows the study area and points I am using. Each point represents a 1x1 m grid cell that contains a 1-4 m plant (classified as 1 for plant size class) as determined by LiDAR data. The area is divided into 2 study areas: above the road and below the road. Above unweighted shows results of UW ripley's; the figure Above is the weighted (all weights =1; represent a 1x1 m grid cell that has a plant 1-4 m tall in it) observation plotted with the unweighted CI and the expected line adjusted to zero. Notice the drooping CI and that the pattern changed dramatically from that of the unweighted observation...from clustered across all distance scales (UW) to small scale clustering and large scale dispersion. The figure 'below Unweighted' and 'below' show the analysis below the road. I used the 'simulate outer boundary values' for edge correction; and user defined study area. I am aware that maybe the study area size could impact my results (clustering is an artifact). Does the weighted analysis seem appopriate to use to represent the pattern?
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10-17-2012
01:53 PM
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I have some questions regarding my project that I am hoping to get answered to make sure my methods are valid. Here is a summary of my project and methods: I have data from LiDAR that I made into a Vegetation Height map as determined by LiDAR. I then made those raster cells that were classified as 1-4 m tall plants into a point shapefile to represent tall plants across the landscape to assess global clustering. The study area is fairly large. (See attachment) I then did a unweighted analysis seperately for 'above' and 'below' the road, in which the observed values showed clustering across all spatial scales, and the expected line falling above the confidence envelope, which I would have expected to fall within the envelope. Why would this happen? I was then recommended to run a weighted analysis and then use weighted results combined with the unweighted CI and adjust the unweighted expected line to zero. I used a weight of 1, as weight represents the number of coincident features at each feature location. Since these points essentially represent a 1x1 m area covered by 1 m tall vegetation it is more an index of cover, and does not necessarily represent just 1 plant. Is this an accurate way to use the weighted function? Will using a value of 1 be acceptable in this study? My results are very different than those obtained from the unweighted observed values.(see figures for unweighted results and weighted observed with unweighted CI and exp). I have also read in ArcGIS help that the largest diffk represents the distance where spatial processes promoting clustering is most pronounced. Is this still the case when I use unweighted CI and expectation and the weighted observed values?
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10-14-2012
06:57 AM
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My computer recently had to have a system restore donbe on it. I'm not sure if it got a virus or what happened..but when I did restore my computer ArcGIS desktop program was still there and working but my toolbox won't work. I've specifically been trying to us the spatial statistics tools, but have tried any of them and nothing happens. When I restarted my computer I had to retrieve all my documents and files on my c:/ drive because they were all hidden? I also tried to put the disk in and authorize the license and extensions and it said it was successful but the toolbox still doesn't work.?? I am using a 1 year student edition and am wondering if I uninstall the program, then re-install if I should be able to get the program back and the toolbox working properly.? I am concerned with uninstalling the program incase I can't re-install. I don't have access to another copy and need this program to finish my master's thesis. Any help would be greatly appreciated! Thanks, A
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07-01-2011
11:08 AM
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