On Mon, Jan 13, 2014 at 12:39 PM, Johannes Radinger
wrote:
> Dear all,
>
> I just tried r.clump on a rastarized river with alternating patches of good
> and bad habitat (values 1 and 2). However, due to its linear structure, many
> cells of the same habitat patch are often only diagonally connecte
On Mon, Jan 13, 2014 at 3:30 PM, Markus Neteler wrote:
> On Mon, Jan 13, 2014 at 12:39 PM, Johannes Radinger
> wrote:
>> Dear all,
>>
>> I just tried r.clump on a rastarized river with alternating patches of good
>> and bad habitat (values 1 and 2). However, due to its linear structure, many
>> c
Thanks for the hint about r.clump2.
I just tried to apply it to my data. While this tool works with diagonally
connected cells (in contrast to r.clump) it does not preserve the distinct
category values of adjacent cells. Furthermore, as also mentioned in the
manual: Linear elements are always clum
On Mon, Jan 13, 2014 at 12:39 PM, Johannes Radinger
wrote:
> Dear all,
>
> I just tried r.clump on a rastarized river with alternating patches of good
> and bad habitat (values 1 and 2). However, due to its linear structure, many
> cells of the same habitat patch are often only diagonally connecte
Hi Johannes,
There is an add on module called r.clump4p available at at
http://sil.uc.edu/downloads.html#software
It has an option to clump diagonal cells. It is also parallelized and
completes much faster than r.clump.
Eric
On Jan 13, 2014 5:39 AM, "Johannes Radinger"
wrote:
> Dear all,
>
>
Dear all,
I just tried r.clump on a rastarized river with alternating patches of good
and bad habitat (values 1 and 2). However, due to its linear structure, many
cells of the same habitat patch are often only diagonally connected. So this
is a case where r.clump does not work (as stated in its ma
