Hello everyone,
I have about 90,000 individual grid files in GRIB format I'm importing and
converting to raster format in R.
Some of the calculations I need to do (clipping with polygons... thanks
Robert J. Hijmans for valuable advice on this!) are best performed on many
raster layers at once, e.
I tested the procedure from Marco and it worked fine under the recent spdep
update (05-40).
But are there any heteroskedastic corrections for the other spatial models
(Spatial lag, SAC or Spatial Durbin) estimated with ML-estimations (lagsarlm,
errorsarlm, sacsarlm)? I know that there is the s
Dear all,
I am beginning a project that will compare some block group level data from
the 2000 and 2010 Censuses in the U.S.
Before I begin I wanted to survey the list and see if anyone had any
experience with two of the stumbling blocks I foresee.
1)Is there some good R code for accessing and par
What version of raster are you using? I don't get your behavior. I've tried
this on R 2.13.2 and R 2.14 (two different versions of raster).
> a <- c(1,1,1,0,0,0,2,2,2)
> a <- matrix(a,3,3,byrow=T)
> a <- raster(a)
> a []
[1] 1 1 1 0 0 0 2 2 2
> b <- 10 - a
> b[]
[1] 9 9 9 10 10 10 8 8 8
---
Dear list,
sorry for the beginner's question. How do I work out the maximum
achievable resolution when rasterizing a vector map on a scale
1:1? In other words what is the resolution of a map with a scale
1:1?
thank you,
Chi Kit
___
R-sig-Geo m
Dear all
I am experiencing a strange problem when calculating in the raster package.
Let me explain it with a simple example;
> a <- c(1,1,1,0,0,0,2,2,2)
> a <- matrix(a,3,3,byrow=T)
> a <- raster(a)
> a []
[1] 1 1 1 0 0 0 2 2 2
> b <- 10 - a
> b []
[1] -9 -9 -9 -10 -10 -10 -8 -8 -8
As you
Dear all
I am experiencing a strange problem when calculating in the raster package.
Let me explain it with a simple expample;
> a <- c(1,1,1,0,0,0,2,2,2)
> a <- matrix(a,3,3,byrow=T)
> a <- raster(a)
> a []
[1] 1 1 1 0 0 0 2 2 2
> b <- 10 - a
> b []
[1] -9 -9 -9 -10 -10 -10 -8 -8 -8
As yo
Dear Erin I use this one that I found on raymond florax's website for
spatial econometrics.
It works great with points as well as with polygons.
PS: I will attach the R file if you need I can send you the files he used
to you on another email.
Hope it helps you
Juan Tomás
# import your shapefile us
Hi Robert,
after my machine crashed I rebooted it. And used to import the ascii
files in the way that you proposed again and now it is working fine! So
I think the very long calculation time must have been caused by my OS.
If I do the import of the ascii files like this:
/
library(raster)
model
I have had problems using merge() for a similar purpose (see [1])
and I use this function to join a data frame to an existing Spatial
Polygons or Points Data frame.
Extending this to 2 SPDF should be easy:
I wish these type of commands existed in official sp
"mijoin" <- function(SPDF1,tabla,by.x,b
Ok.
I just tried with incomparable=NA and removed too many this time!
thanks!!!
Erin M. Hodgess, PhD
Associate Professor
Department of Computer and Mathematical Sciences
University of Houston - Downtown
mailto: hodge...@uhd.edu
-Original Message-
From: Francis Markham [mailto:fmark.
Erin,
I believe you can. See the help for merge, in particular the all.x and
all.y parameters.
Cheers,
F. Markham
On 1 November 2011 18:03, Hodgess, Erin wrote:
> Hi!
>
> I'd like to remove the non-matching rows, if possible. I don't think you can
> do that with merge.
>
> Thanks,
> Erin
>
>
Hi!
I'd like to remove the non-matching rows, if possible. I don't think you can
do that with merge.
Thanks,
Erin
Erin M. Hodgess, PhD
Associate Professor
Department of Computer and Mathematical Sciences
University of Houston - Downtown
mailto: hodge...@uhd.edu
-Original Message-
F
Hi Erin,
Is the "merge" function appropriate? If you are joining a non-spatial
data frame to a spatial data frame object (e.g., a
SpatialPointsDataFrame) it should work.
Dan
On 10/31/2011 11:33 PM, Hodgess, Erin wrote:
Dear R Sig Geo People:
Is there an equivalent of "join" from ArcGIS 10
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