On 10/10/2008, at 4:48 AM, Arthur Weiss wrote:
Hi everyone,
I am using the package "spatstat" for ploting kernel maps of my data.
It is a marked point pattern, the result of mosquito surveillance in a
area in a week.
For each trap, the number of individuals captured is the mark of
the point.
plot(density(X, weights=X$marks))
makes a nice kernel, but the problem is that I've got several weeks
and
for each week the density is re-scaled, which makes comparisons
useless.
I've been trying to find some way to pass the scale limits to the
function
but just couldn't find.
Not quite sure what the problem is ... but the help for plot.im() says:
.
.
.
numeric-valued images: By default, the range of pixel
values in
'x' is divided into 'n = length(col)' equal subintervals,
which are mapped to the colours in 'col'. (If 'col' was not
specified, it defaults to a vector of 255 colours.)
Alternatively if the argument 'zlim' is given, it should be a
vector of length 2 specifying an interval of real numbers.
This interval will be used instead of the range of pixel
values. The interval from 'zlim[1]' to 'zlim[2]' will be
mapped to the colours in 'col'. This facility enables the
user to plot several images using a consistent colour map.
Does setting the zlim argument accomplish what you want? If not, please
get back to us with more detail.
cheers,
Rolf Turner
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