On Tue, 24 Jun 2008, Honey Giroday wrote:
Thank you for your response and assisting me with clarifying my question. Here
is a portion of the code I am using:
xxx04 <- ppp(x=mpb04$Easting, y=mpb04$Northing, window=tpi1.win)
dens2004<-density(xxx04)
save(dens2004, file="dens2003.Rdata"
dens200
Thank you for your response and assisting me with clarifying my question. Here
is a portion of the code I am using:
xxx04 <- ppp(x=mpb04$Easting, y=mpb04$Northing, window=tpi1.win)
dens2004<-density(xxx04)
save(dens2004, file="dens2003.Rdata"
dens2004.load<-load("dens2004.Rdata")
dens2004.im<-a
Hi!
Is there a guide for plotting R spatial objects,
best dealing with all (at least several) of the
different spatial packages (sp, PBSmapping, maptools etc)?
Thanks
--
Dr. Agustin Lobo
Institut de Ciencies de la Terra "Jaume Almera" (CSIC)
LLuis Sole Sabaris s/n
08028 Barcelona
Spain
Tel. 34
Hello,
I've worked a lot on problems of this type - here's some quick thoughts,
not really directly addressing your questions.
HDF and netCDF can be difficult - you need to compile rgdal from against
FWTools, or from source to have those work with readGDAL. I would just
use gdal_translate to
Dear list,
I'm trying to extract different oceanographic data (chlorophyll, sea
surface temperature, etc.) for doing habitat modelling. The input data
are locations (lat, lon) of tracking data of marine top predators and I
would like to extract oceanographic data from a given area around each
On Tue, 24 Jun 2008, Honey Giroday wrote:
Hi,
I'm currently trying to use save() on a density plot (i.e. an image)
that takes a long time to generate (using density(x)). I want to be
able to use the saved dataset as a covariate in ppm. However, once my
image is saved and loaded back in i