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hello! i'm dealing with the following: i've collected a factor
covariable at irregularly placed sampling points along a line with
spatial informations, i.e.: dataset<-c(x-coordinates, y-coordinates,
level-of-factor)
the factor describes the density of vegetation between 0 (no ground
cover) and 5 (almost complete cover). id like to produce a map similar
to the ones the akima package enables me to (function in akima is
called: interp(x,y,z-value...), then use image(...) on the resulting data).
but: as the akima library works suitable with continuous z-values
(topography, air pressure, whatever is measured can be described a
number), my resulting map looks terribly patchy (of course, since the
levels of the factor cannot be interpolated) and contains no valuable
information. thus my question: i imagine something like a "growing-cells
mechanism", which lets every sample grow until its "borders" touch the
borders of an adjacent sample, resulting in something like a
honeycomb-structure. that would give me a cellular pattern of my factor
spread across the map!
