I am trying to reclassify many euclidean distance layers (which are based on lines) each into 10 classes of equal area. When I attempt to do this, using the quantile reclassification method, some classes contain twice as many cells as others. I thought that using the quantile method, the cell counts of each class were supposed to be roughly equal. The "Slice" tool does generate classes of equal cell counts when using the "equal area" method, but I need to know the break values, which the slice tool does not give (But reclassify does). How can I reclassify these layers into ten classes of equal area and know the break values of each class?
I have found that this can be done by first converting the floating point raster to an integer using the floating point tool.
Best Answer
there is a warning about using the Quantile breaks noted in the help file.
"Because features are grouped in equal numbers in each class using Quantile classification, the resulting map can often be misleading. Similar features can be placed in adjacent classes, or features with widely different values can be put in the same class. You can minimize this distortion by increasing the number of classes"
See the graphic examples in that thread for more information.