(Update) My final goal is to take some logged point data (1 point about every 20 ft or so there are over 15,000 points) and interpolate that point data. Then I would like to convert the interpolated raster into distinct polygon zones based on the number of classes the data is in using the Natural Breaks classifications. So if I want it in 5 classes, there will be several polygons that make up these 5 classes, but within the tabular data I can see which of the 5 classes each polygon belongs to. In addition to this, I would like to eliminate the smaller polygons created by the interpolation, like say anything under 1 acre in size. Maybe there is a GP process I can run to do this? Let me know if I need to explain this better, and thanks for the help so far.
I was thinking the "output cell size" setting would be the trick here but it defaults to a very small number (0.00003) and if I make it any bigger like even say "0.003" it results in the interpolated raster having virtually no data where both high and low values is a really high number and very low number.
If I use the default settings I get a decent kriged raster but I would like to adjust to exclude smaller areas, like say less than 1 acre in size. Basically I want the kriging interpolation to ignore areas that are smaller than an acre or even a 1/2 acre. Currently it is showing areas that are easily less then 0.001 acres in size of which I would like it to ignore those. Also if I zoom into it looks like the cell size grids are 8ft by 8ft. How do I get that larger to say 100 ft by 100 ft? Like I said I have tired putting larger number in the output cell size but get back basically nothing but extreme values. I must be doing something wrong. Any help would be appreciated.