Hi J.

so do you expect that the fractal dimension calculated for different interfaces e.g. water-ocean beach class , water-estuarine beach class etc... can produce different fractal dimensions? .... probably yes however I do not expect huge variations from the fractal dimensions already provided.
(Also because the range of the fractal dimension is small by itself)

best,

Matteo

well considering only the salt marsh the Df is lower but in time it has the same trend of the other.

Jonathan, when you spoke about the two fractal dimensions, you meant it is calculated between the ``mangrove class and open water'' and between the ``salt marsh class and open water''. what about all the other classes ? because i can look also e.g. the interface between the ``ocean beach class and water'', between the estuarine class and open water'' and so  on..........

Ok, so it`s box counting, thanks a lot!

- Matt

so anyone knows exactly how this fractal dimension is calculated or what specifically is.
because i potentially find a correlation with with this variable and something else in my coupled model.
thanks

M

Dear everyone.
In sea-level rise predictions (e.g. following the IPCC curve), SLAMM produces more ``striped maps'' more and more when reaching the end of the sea-level rise curve.
For example modeling to 2100 the maps of the coastline are like composed by many parallel stripes... that is very unrealistic (stripes separated by empty spaces)
Is this because SLAMM does not consider the parallel interaction between neighbors ?

...
thanks for any answer
Matteo

Dear everyone.
In sea-level rise predictions SLAMM gives as output also the fractal dimension. (actually two fractal dimensions)
Is that the fractal dimension of the coastline ? or something else?
How is that determined?