Hi Joachim, The tool computes a Kernel Density Estimate (KDE), which is a continuous estimation of a probability function for all cells in your dataset.
SEXTANTE's implementation uses a Gaussian kernel. Other kernel types are not currently implemented. More details here: http://en.wikipedia.org/wiki/Kernel_density_estimation Best, Ben ----- Original Message ----- > Dear sextante experts, > > we are using the Density tool with the "kernel". No technical > problems, but three practical questions: > > - we are looking for the data output of the function. Where is it ? > How can we get it ? > - the result of the kernel function is definitely good looking. But we > can't explain it. What does the gradient represent ? Is it a real > gaussian standard distribution, or what ? > - how would we proceed to obtain a similar output, but with a linear > gradient or a gravitational (1/d^2) gradient ? > > Many thanks, > > Joachim > _______________________________________________ Sextante-users mailing > list Sextante-users@lists.forge.osor.eu > https://lists.forge.osor.eu/listinfo/sextante-users ------ Files attached to this email may be in ISO 26300 format (OASIS Open Document Format). If you have difficulty opening them, please visit http://iso26300.info for more information. _______________________________________________ Sextante-users mailing list Sextante-users@lists.forge.osor.eu https://lists.forge.osor.eu/listinfo/sextante-users
