Need a table of raster from kernel density - how?

[ManneGerell]

I am running several different methods (intitially distance and kernel density with different radius) to create rasters with same size (50*50meters) pixels of the same area. I need to export the raster to a table for analysis with HLM (multilevel statistics program), where i would like to have OID and a value from the raster for each individual pixel, but i have been unable to get this done. The rasters come with float values and no attribute table, and when i try to use Int () to convert them i do get an attribute table - but not one of each individual pixel. The attribute table i get then instead lists all the unique values i have in the raster and the number of pixels with that value - so OID is for each unique value rather than for a pixel.

I hope someone understands what i am getting at and can point me in the right direction. I'd guess i am just making some stupid mistake here that magically will solve everything.



Thanks in advance,
Manne

[ChristieMacdonald]

I would like to keep the whole numbers. Reclass would lump the cell values into bins, but I want a count of the total number of cells with each cell value. My values range from 0 to 0.001242302590981126, so the are all quite low and when I convert raster to point, each point has a cell value of 0.

I could multiply the raster by a factor of say, 10000 first, and then try converting the raster to point?