Hey everyone.
Is there anyway to classify with more than 32 quantiles? 32 quantiles is apparently the maximum that I can pick in Symbology-->classified--> classify.
Thank you.
Best regards
Ditlev Reventlow.
Solved! Go to Solution.
You could use the SetNull tool to set the tails to NoData. However, if the idea is just for visualization, you can better use suggestion Dan provided.
Not sure, but sometimes these things are set in the AdvancedArcmapSetting.exe found in your system path if normally installed C:\Program Files (x86)\ArcGIS\Desktop10.2\Utilities
Thanks, I tried to look in there, but I couldn't find anywhere to change it. I don't think it is possible in there.
Can you elaborate a little on what you want to achieve with the classification of more than 32 classes? If it is for visualization, it might be difficult to distinguish 32 or more classes. Perhaps you can create a new field (or raster, depending on the data you are using) of type integer, that can be visualized with unique values (the values that represent the more than 32 classes).
It is because I have a precipitation raster layer where values are just about normally distributed. I want to leave out e.g. 2,5 percent in each "tail" of the data distribution. This is because this data is very spread out and doesn't have any use value for me.
Using the 32 quantililes I can not mark and leave out less than 100/32=3,125 % in each tail of the distribution, so 6,25 % for both tails together. I would like to include a little bit more than 93,75% of the data - at least 95 %.
If you classify manually, you can set the values of the tails exactly... do you need to have 30 classes between the "tails"?
No, I don't need the 30 in between. These are just to insure that the intervals at the tails are sufficiently small (3,125%).
But I I classify manually then I guess there is no way for me to know how many percentage I leave out in each tail? And how do I make sure that I leave out the same percentage in each tail?
If you know the mean and standard deviation why don't you use the mean and standard deviation classification that is built in and alter the tail colours there?
Dan, I am sure I understand what you mean, could you decribe it further?
*not sure I understand