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Hi Steve, These are cumulative rainfall from tropical cyclone events, so it makes the task of linking elevation to precipitation a little more difficult, factoring in rain bands, eyewall etc. But for my study, I am concentrating more on the interpolation methods and just wondered why a coarser resolution DEM (10km over 1km) might yield a slightly lower RMSE. Any thoughts? Thanks
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09-06-2012
03:23 PM
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I've found from numerous cross-validations that when incorporating elevation data from DEM's into the co-kriging interpolation of rainfall data, that the resolution of the auxiliary data (i.e. DEM's) has some bearing on the resultant RMSE. In fact, some of the more coarser DEM's managed to produce fewer errors. I wondered if you had any suggestions for these observations? Perhaps the link between elevation and precipitation is only significant in these models at larger scales? Many Thanks.
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09-06-2012
01:36 PM
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Hi, I have found that the model type used in Kriging can have a large influence on the RMSE of my model, but don't really understand how they work. For example, having ran lots of cross-validations with different data sets, I've found the K-Bessel model to yield the lowest RMSE, but cannot really explain why. I would like to briefly comment on the fundamentals of these models but cannot seem to find much information. Any links/references would be a great help, thank! Dean
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08-21-2012
09:13 AM
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Thank you again Eric...Worked great for MAE distribution
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08-14-2012
06:56 AM
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Thanks Eric, more like this right? [ATTACH=CONFIG]16784[/ATTACH] I imagine it will take me an awful long time to repeat 100 times, is there a way to speed this process up? Also, by absolute, just ignore the negative integers right. Thanks!
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08-08-2012
02:20 PM
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Hi Eric, A saviour once again. Should I be getting something like this? [ATTACH=CONFIG]16778[/ATTACH] Take the average of those values in the 'error' column (the 5 originally omitted), repeat a 100 times say, to give a distribution of MAE? Thanks again!
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08-08-2012
09:07 AM
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Hi, I have a kriged GA layer of precipitation data from approximately 50 points (i.e. stations) and would like to assess the skill of the interpolated surface. I would like to omit some of the stations prior to kriging, and calculate the mean absolute error between interpolated and actual data.Then repeat many times to give a distribution of errors. Could anyone suggest an efficient method of carrying out the above task using the Geostatistical Wizard? For example, how can I remove some point data from the kriging without changing the source of the data? Also, is the 'average standard error' equivalent to the 'mean absolute error'? Thank you for your help, it is greatly appreciated.
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08-07-2012
07:14 PM
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This is want I want to achieve [ATTACH=CONFIG]16689[/ATTACH] But, this is via data frame clipping, and I now assume that due to the intricacy of the polygon shape, ArcMap simply fails to operate, essentially crashing.
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08-05-2012
11:42 AM
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Wow, literally took 20 minutes to open ArcMap again with this clipped data frame, as opposed to 5 seconds before. Is there something I am missing, this is certainly not the intended or desired performance of this tool I know. Any help hugely appreciated at this time.... ...The program finally unfroze, changed to no clipping, and everything runs smoothly again. Not a tool I will use again in a hurry! But I still need a kriged surface limited to land areas of my polygon. I previously tried the raster option as you stated Steve, but my classes (in this case, precipitation) were vastly altered.... How can I retain the classes when exporting to raster?? The kriged surface prior to export is fantastic, as are the true values of the rainfall data, I just want to limit the display of this surface to the outline of my polygon, with no preference to how I get to there! Is there anyway I could invert the colours of my polygon. Perhaps having the areas around the land coloured white to isolate the kriged surface?? [ATTACH=CONFIG]16687[/ATTACH] This is what I want to achieve [ATTACH=CONFIG]16688[/ATTACH], but this was using the data frame cliping, and ArcMap simply fails to operate, probably due to the intricacy of the polygon used to clip
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08-05-2012
10:24 AM
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Steve, Thank you very much. Via the Data Frame Properties I supplied the country outline as the mask, or shape to clip to. It gave exactly the coverage I wanted. BUT, having applied this, ArcMap 10 became inoperable, in that it became unbelievably sluggish, and so had to force close. This happened each time I tried. My system was flying through other programs which were open, suggesting it is more than capable of operating. Does this task require large amounts of memory and processing?? ..............just tried from scratch assuming I had too many layers in the TOC. Just with one kriged layer the program literally becomes unresponsive! How can this be so?? The worst part is, I saved my workspace with all my previous work on, with this clipped data frame, now I cannot even access it! Everytime I click anywhere on the screen the program becomes unresponsive!
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08-05-2012
10:06 AM
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Hi, I am hoping this is straight-forward, fairly new to GA. I want to limit the extent of my kriged surface to the boundaries of my polygon. The problem is, the polygon is an Archipelago, thus when I choose limit extent to 'polygon name', it merely limits the kriged surface to the far reaches of the Archipelago in a rectangular shape. I only want to keep the kriged surface covering the islands (i.e. land) not the sea. Is this possible? Any guidance would be greatly appreciated. Thank you in advance.
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08-01-2012
08:16 AM
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Anyone?? There must be a way around this problem, for what seems to be so fundamental. Any help would be greatly appreciated....
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07-25-2012
10:57 AM
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Could anyone please suggest how to retain the resolution of a raster when using the Extraction by Mask tool??? Thanks!
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07-21-2012
08:07 PM
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