Hi,
I have a raster stack with 250 layers, and i would like to Fitt a
spatio-temporal variogram model.
How to convert the data for analysis?
> EVI
class : RasterBrick
dimensions : 476, 336, 159936, 250 (nrow, ncol, ncell, nlayers)
resolution : 250, 250 (x, y)
extent : 607868.3, 6
>
>
>
Dears,
I have dates of the type ddd (ex.: 2005135), where 2005 is the year and
135 is day of the year.
I need convert this format for year/month/day (%Y/%b%d).
Thanks.
Julio
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Dear,
I can't plot legend over a Rasterlayer.
See my problem:
### Data
> img
class : RasterLayer
dimensions : 5, 5, 25 (nrow, ncol, ncell)
resolution : 0.002245, 0.002245 (x, y)
extent : -48.33875, -48.32753, -20.35756, -20.34634 (xmin, xmax,
ymin, ymax)
coord. ref. : +
Dear list,
I canĀ“t use the choose.files for list the 2,000 files in directory.
# list files
> names <- (tk_choose.files(default = "", caption = "Select the files
",
+ multi = TRUE, filters = Filt,
+ index = 1))
>
>
> na
Dear List,
I have 2,800 images (*.tif) for read with packages raster, and each image
have 10 x 10 (Col x Row)
# command
img <- list.files(pattern='*.tif')
all_img <- stack(img)
*Problem*: is taking 15 minutes to read
Question: Can I read images with less timer?
Thanks
Julio
[[a
Dear list,
I have a file with names of raster (example: names_raster) and want create
a stack (multiple layers).
# example file
names_raster
[1] "img1" "img2" "img3" "img4" "img5"
#
# process ERROR
layers <- stack (noquote(paste(names_raster, collapse = ",", sep="")))
Is possible to read MODIS images in HDF format in R?
Example : MOD13Q1.A2001065.h13v12.005.2007007110531.hdf
Thansk
Julio
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Hi members,
I have rpanel with one rp.slider (package rpanel), and this call the
function draw (See bellow) .
This function draw plot one graph and one image.
##
# EXAMPLE
draw<- function(panel)
{
par(mfrow=c(1,2))
plot(1:panel$Col, type = "o")
image(as