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reasons I'd have to buy the newest edition. New
chapters, content?
Mathieu
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color of variograms in show.vgms()?
Best,
Saman.
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On 07/24/2013 02:37 PM, ASANTOS wrote:
proj4string(SP) = CRS(+proj=utm +zone=23+south +datum=WGS84
+units=m +no_defs) ## Proje
maybe try:
proj4string(SP) = CRS(+proj=utm +zone=23 +south +datum=WGS84 +units=m
+no_defs)
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, for each
pixel, to have a mean year (23 values). So each value will be an
average of the EVI at the same date for the 10 years.
Regards,
Nicolas.
On 27/06/2013 12:34, Edzer Pebesma wrote:
Given your data are in obj, did you try
mean.yrs = aggregate(obj, year, mean)
?
On 06/27
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Comment: Using
(), and hence don't share your worries.
Thank you Moshood
On Wed, Sep 4, 2013 at 4:40 AM, Edzer Pebesma
edzer.pebe...@uni-muenster.de
wrote:
did you read the documentation of argument fit.method in function
gstat::fit.variogram?
On 09/04/2013 02:00 AM, Moshood Agba Bakare wrote:
Dear
Achieved convergence
tolerance: 9.79837651e-06
On Wed, Sep 4, 2013 at 11:39 AM, Edzer Pebesma
edzer.pebe...@uni-muenster.de wrote:
On 09/04/2013 05:50 PM, Moshood Agba Bakare wrote:
Dear Dr. Edzer, Yes, I read about the various options of
fit.method in gstat manual. The default value
there's
any particular need to revert as long as people are aware of
the issue and the way to work around it.
Thanks, Alex
On 09/04/2013 03:35 AM, Edzer Pebesma wrote:
Thanks, you are right, sp 1.0-12 depends on R 3.0.0 but
claims it doesn't.
Ubuntu users are very well served by binary
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of
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http://politicsforbreakfast.blogspot.com
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factor analysis, by accounting for spatial
structure of data? Thank you so much for your inputs.
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the lack of options, but write working and readable
code. If you would contribute it, we will include it and acknowledge you!
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doesn't produce it to begin with?
Thanks much,
Ryan
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the duplicates. Use carefully,
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data sets with various
bounding boxes should confirm this, or you could just look at the
code?
Barry
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, MOD13Q1.A//6_days_EVI,
MOD13Q1.A//6_days_EVI, ...
Regards,
Julio
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objects of the latter two classes to data.frame?
Agus
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yield variable? I am confused! Have a look at the
attached file for the semivariogram plot. Do I need to detrend before
fitting the model? it seems the plot increases monotonically without level
off. Please advise.
Thank you
Moshood
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, this is clearly wrong. My feeling is that c0 in the computation
of the kriging predictions covariance matrix needs be specified
differently, not as a constant, however I haven't sorted out how, so far.
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talking with
Elsevier on how to realize this. Suggestions are welcome!
I'm grateful to Chris Kray, Gilberto Camara, Christoph Stasch, Roger
Bivand, Tom Hengl, Gerard Heuvelink and Daniel Nuest, who all helped
with suggestions and improvements.
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documentation that says these functions
can do something sensible with STFDF data? Maybe the code is yet to be
written...
Barry
library(plotKML)
showMethods(plotKML)
and also ?plotKML confirm what Barry just suggested.
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Thanks
Agus
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On 01/27/2014 11:40 AM, Mark Payne wrote:
I won't call this a bug,
Definitely a bug; will look into it -- thanks for reporting!
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delmepx), but wish to
understand.
Thanks
Agus
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In the manuals,
http://cran.r-project.org/manuals.html
look for and read Writing R extensions.
On 02/06/2014 12:12 PM, Abdoulaye Sarr wrote:
Hi all,
I have a fortan program to compute a climate index at point and is
wondering if it is possible to call this function into R and apply to a
have coding Friday tomorrow, drop by
or send something useful and we might be able to work it out.
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+northing or yield ~1.
If there is a strong spatial trend, general advice is to work on the
residuals (~easting+northing), and use the same equation in the kriging
step (universal or regression kriging).
You could try both, if the difference is small, I'd suggest to not
detrend (ie., use ~1)
--
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increases without level off, then I assume there is a strong spatial trend.
Am I right with this approach? Is there a better way of detecting if there
is a *strong spatial trend*?
Thank you.
On Tue, Feb 18, 2014 at 10:19 AM, Edzer Pebesma
edzer.pebe...@uni-muenster.de wrote:
On 02
whatever I use as my lag distance as specified by width=7?
I don't know what you mean by lag tolerance -- does this term come
from the GSLIB literature? gstat::variogram does allow lags to overlap;
if you'd want this you'd need to write your own smoother for variogram
clouds.
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of the scale bar on the map corresponds with 100 kilometers in
reality? (It might be too obvious or some other reason I do not get it. It
feels already like the dumbest question to myself. So, my apologies in
advance.)
Cheers,
Alex
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Thanks while looking forward to reading your response please.
Moshood
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hundred
can be used if the unsampled location is within sparse region of the field?
prd_ok - krige(id=yield,yield ~ 1, canmod.sp, newdata = grd,
model=exp.mod,
block=c(10,10),nmax=100)
Thanks
Moshood
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list archive at Nabble.com.
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, 20, type='random')
twenty - spsample(nylakes, 20, type='stratified')
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that is not a reason
why they should be ignored.
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(bins)],2),
-,
round(bins[-1],2)),cex=0.7, bg=white)
}
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a model? Is SSerr means sum
of squares of difference between actual values and predicted values of
fitted model? in MSDR, what is difference between residual and kriging
variance? formula for computing the kriging variance.
Thanks
Moshood
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.
Thanks
Moshood
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a coordinate reference, so I switched to readOGR.
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=Matern variogram model)
Thanks
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Edzer Pebesma
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administrative regions.
In the former case, you could use spsample to sample points within the
polygons; in the second case you may want to assign the attribute values
to polygon centroids, e.g. if your object is called pol, by
SpatialPointsDataFrame(coordinates(pol), as.data.frame(pol))
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: 2013-10-15
Title: classes and methods for spatial data
Authors@R: c(person(Edzer, Pebesma, role = c(aut, cre), email
=
edzer.pebe...@uni-muenster.de), person(Roger,
Bivand, role = aut, email =
roger.biv
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and ggmap:
layer could actually be wrong as well.
I'm going to test on a more local area and let you know.
Agus
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to the code I just showed, it is not clear at all
that the matrix provided
in the ggmap raster object is in epsg:4326.
Agus
On Thu, Apr 24, 2014 at 10:21 AM, Edzer Pebesma
edzer.pebe...@uni-muenster.de
mailto:edzer.pebe...@uni-muenster.de wrote:
EPSG:4326
stplot where object x is of class STSDF
Thank you very much for your help!
Best,
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=height,
default.units='native'),
under=TRUE)
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e.g. by cross validation.
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, because x and y are factors, and
my polygons have numeric values.
Any suggestions will be appreciated.
Best regards,
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know of a function that supports three
or more dimensions?
Mark
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, nugget = nugget)
exp.mod-fit.variogram(empvar,model = exp.var)
Cross validation of the variogram models by ordinary kriging
exp.kcv - krige.cv http://krige.cv(yield ~ 1, canocrop.sp, *model =
???*,nmax = 20, nfold= 5)
Thank you.
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, already does the job itself :)
Thanks much!
Best,
Vero
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has
relative time, otherwise it can be left out.
I noticed that the reader expects always absolute time, is it possible
to support relative time as well?
Best regards
Soeren
2014-07-07 18:46 GMT+02:00 Edzer Pebesma edzer.pebe...@uni-muenster.de:
Thanks for the clear report, Veronica
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*
*HydroFocus, Inc. 530-759-2484*
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solve this urgent issue.
Best regards,
eus
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Error in ST(sp, time, endTime) : time is not a time based class
If doable with other package also will be fine for me.
asarr
On Sun, Aug 3, 2014 at 9:40 AM, Edzer Pebesma
edzer.pebe...@uni-muenster.de wrote:
Please provide a small, reproducible example.
Wbr,
On 07/26/2014 08:29 PM
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