Hi,
You could also opt for kriging, which supports anisotropy. The
intamap package has a function to detect anisotropy, in case you
would like to automate the interpolation.
cheers,
Paul
On 03/18/2011 01:41 AM, smur...@worldbank.org wrote:
Dear friends,
I am doing cokriging and i could not fit the LMC to my variograms
automatically, therefore i ftted the LMC manually. i have a total of 15
variograms (direct variograms and cross variograms). eg:
clay.g$model$clay[1,2]
clay.g$model$clay[1,2] = 0.22
clay.g$model$clay[2,2] = 0.15
I'd like to extract celle numbers from a raster using a line, but it seems
the cellnumbers=TRUE option isn't working with lines in raster::extract.
simple example :
library(raster)
r - raster(matrix(1:20, nrow=4))
l - SpatialLines(list(Lines(list(Line(list(x=c(0, 1), y=c(0, 1, ID=1)))
#
I have a series of scanned global maps (from a bound Atlas) of oceanographic
sampling effort that I would like to classify. On 1 x1 lat/lon grids are
symbols that represent sampling density. I need to read in these scanned
maps, and classify the symbols (squares are classified as 1, triangles as
I'd like to extract celle numbers from a raster using a line, but it seems
the cellnumbers=TRUE option isn't working with lines in raster::extract.
Etienne,
It is not working because cellnumbers is currently only an argument for
extracting values from a Raster* for polygons. That's what the
Hi,
I wrote a na.omit-method for STFDF (attached) with the intention to
extract the rows and columns of a sparse space-time grid (STSDF) that
have data on all nodes via
na.omit(as(stsdf, STFDF))
It turned out that I had no point in time with data at all locations in
my data set. Hence, for
Here is an example of one of these map sets. This is the original as it was
sent to me, but I would crop each map individually.
https://docs.google.com/viewer?a=vpid=explorerchrome=truesrcid=0B0d3zfSSPFQsY2MxODEyZWEtZTRkZC00OTk2LTgwY2YtYTZkYzcwZGYxZDllhl=enauthkey=CLmWvWc
Hi Tim, wow that looks it could be rather difficult to automate. It's
probably easiest just to visualize them in a map plot and then use
locator() to recreate the locations for each symbol. That would not be
too difficult, but there are a few options.
Is the data not also published in the atlas
I had another look and the georegistration should be pretty accurate
since there are so many grid lines.
I missed that the first time. If the images need significant warping
to get them regular again you could use control points with the GDAL
command line tools, which is probably easier than
It is not working because cellnumbers is currently only an argument for
extracting values from a Raster* for polygons. That's what the docs say.
But
I'll also implement if for lines.
I did notice that, but there was no ==line== section in the doc I have. Is
my package outdated ?
In your
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