On 03/09/2011 04:23 AM, Andrew Yee wrote:
Hi Andrew,
You can get an approximate longitude/latitude for any point on:
http://www.getlatlon.com/
and it doesn't look like there are any restrictions on use.
Jim
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Hi R-user,
I'm new to R and have bought the asdar book which is a great book for me as
I discover a world of geostatisctis that seems infinite and fascinating.
Excuse me in advance for my english
--
I've got a dataset of points that covers a city
Each point takes 4 values corresponding to
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De: r-sig-geo-requ...@r-project.org
Enviado: Martes, 08 de Marzo de 2011 06:30
Para: r-sig-geo@r-project.org
Asunto: R-sig-Geo Digest, Vol 91, Issue 8
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Dear all,
I would like to convert a map in shp (shapefile arcview format) format
to a svg format with R. Does anyone know how?
Thank you very much,
Marc
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On 09/03/11 10:40:00, Mathieu Rajerison wrote:
I've got a dataset of points that covers a city
Okay, is that a spatial points data frame?
Each point takes 4 values corresponding to area of land usage. The first one
is for ground, the second is built, the third is wood, the fourth water.
Here
Thank you for your help!
I have used the following sintax:
map -readShapePoly(...)
CairoSVG(file = newmap.svg, width = 12, height = 12, onefile = TRUE,
bg = transparent)
plot(map, lwd=0.1)
dev.off()
and it works perfectly.
Regards,
Marc
2011/3/9 Georg Ruß resea...@georgruss.de:
On 09/03/11
Dear Reseacher,
i need to resolve the following problem. I wish to delete duplicate row from
a data.frame but not all duplicate row:
ex:
my.df - data.frame(Id=c(1,2,3,4,5,5,6,7,8,8,8,9),
value1=c(10,20,30,40,50,50,60,70,80,80,81,90),
value2=c(100,200,300,400,500,500,600,700,800,800,799,900))
So you want to look at all rows, not just the index?
Then specify that:
my.df[!duplicated(my.df),]
Id value1 value2
1 1 10100
2 2 20200
3 3 30300
4 4 40400
5 5 50500
7 6 60600
8 7 70700
9 8 80800
11 8 81
On 09/03/11 15:42:40, gianni lavaredo wrote:
Dear Reseacher,
i need to resolve the following problem. I wish to delete duplicate row from
a data.frame but not all duplicate row:
ex:
my.df - data.frame(Id=c(1,2,3,4,5,5,6,7,8,8,8,9),
value1=c(10,20,30,40,50,50,60,70,80,80,81,90),
Dear R - Users
I have 2 timeseries, one measured and one is modeled. The only function to
compare them i know is cor(model,measured). Is there perhaps another
function to produce the r squared, to prove that my model is well fit?
Thanks for your time
Jan
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Hi Jan,
In general, R-squared can be calculated as the square of the correlation
coefficient.
However, read here to understand what R-squared means in this case:
http://en.wikipedia.org/wiki/R-squared#As_squared_correlation_coefficient
aman
-Original Message-
From:
Hi list,
I'd like to vary the size of my window on a moving window filter. The size
of the radius is set by a function of the center pixel (the current pixel
processed). I picked the raster package, but as focal() is using a fix
radius for the analysis, I thought I could use a large radius and
Dear List,
I have fitted a spherical function to my variogram using variofit(...)
from GeoR. Now I would like to predict some data with the function
predict(object,...) from package stats. Does anyone know wether this
works and if it does how to do it?
Thanks a lot!
Anna
Greeting list members,
I'm analyzing the global spatial autocorrelation of a continuous vegetation
attribute (MSH) among multiple (15-30) plots (secondary sampling units) across
76 sites (primary sampling units). I've used the Moran's I permutation test
(moran.mc) in the spdep package to do
Hi Anna,
Am 09.03.2011 21:25, schrieb Anna Gretschel:
Dear List,
I have fitted a spherical function to my variogram using variofit(...)
from GeoR. Now I would like to predict some data with the function
predict(object,...) from package stats.
Note that predict() is a generic function (see
I have a raster with longitude data over 0 to 360.
bar -
raster(t(foo[,,1]),xmn=0,xmx=356.25,ymn=-87.159094555863,ymx=87.159094555863,
crs=+proj=longlat +datum=WGS84)
I'd like to shift those longitudes to -180 to 180. I tried paying with the
+long_wrap argument to crs but to no
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