I don't think I'm a specialist for that question. Other people will
complete what I'll say, if necessary

For the moment, what you should try is to get points representing presence
from your image (I think of it as being a regular grid image).

Then, to visually seggregate clusters of presence, you could use
spatstat::density function

2012/1/5 ah3881 <ah3881@bristol.ac.uk>

> Thanks for that, it looks great for the raw spatial data!
> The thing is I have used the raw spatial data to produce a species
> distribution projection for each species (using Maxent), then reclassified
> each to give a binary presence absence map (which is currently a PNG, but
> could be redone as an ASCII file), so I am mainly working with binary maps
> rather than the points-and it is these distributions I want to run cluster
> analysis on-so I can see the segregation of different community assemblies
> in space.
>
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