[R-sig-eco] generating points from random to overdispersed on a raster grid.

[Bede-Fazekas Ákos]

Dear Patrick,

Package 'spatstat' can generate point pattern from several point 
processes, e.g. from uniform Poisson process (aka. Complete Spatial 
Randomness, CSR), general Poisson cluster process and Simple Sequential 
Inhibition process, and can also generate independent uniform random points.
I recommend you to convert your matrix to RasterLayer (of package 
'raster'), create an owin window based on its extent, generate points, 
convert them to SpatialPoints and rasterize them.

HTH,
Ákos Bede-Fazekas
Hungarian Academy of Sciences


2020.06.20. 12:05 keltezéssel, Patrick Giraudoux írta:
> Dear listers,
>
> On a simulation purpose, I would like to generate data variying from
> random to various degrees of overdispersion on a raster grid.  For
> instance on a matrix 1000 x 1000, to select a number of pixels that
> could be considered spatially aggregated (with a possibility for tuning
> the degree of aggregation from "random" - no aggregation - to strong
> clusters).
>
> Has anyone heard about how to proceed or an idea about it?
>
> Best,
>
> Patrick
>
>
>
>
>
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