Displaying 20 results from an estimated 716 matches for "latly".
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lastly
2013 Feb 12
3
reorganize data
Hi R users,
Wonder if somebody could give me help on how to reshape this type of data:
-----------------------------------------------------------------------------------------------------------------------
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32
0000-0010 | 28| 28
0010-0020| 302| 302
0020-0030| 42| 42
0030-0040| 2| 2
0040-0050| 1| 1
0060-0070| 1| 1
2007 Apr 04
5
how to image.plot a XY grid file into a lat-lon map
Hi All,
I have a netcdf gridded file with LCC projection. I can easily use
image.plot to visualize it. However, as the axises are in X,Y, not Lat and
Lon, I could not add state or country maps onto it (or lat lon information).
I do have a grid2d file that describes the lat and lon for each (X,Y) grid,
but the lat and lon are not regularly spaced, so I could not use image.plot.
Does anyone know
2012 Aug 10
1
virtio-scsi <-> vhost multi lun/adapter performance results with 3.6-rc0
Hi folks,
The following are initial virtio-scsi + target vhost benchmark results
using multiple target LUNs per vhost and multiple virtio PCI adapters to
scale the total number of virtio-scsi LUNs into a single KVM guest.
The test setup is currently using 4x SCSI LUNs per vhost WWPN, with 8x
virtio PCI adapters for a total of 32x 500MB ramdisk LUNs into a single
guest, along with each backend
2012 Aug 10
1
virtio-scsi <-> vhost multi lun/adapter performance results with 3.6-rc0
Hi folks,
The following are initial virtio-scsi + target vhost benchmark results
using multiple target LUNs per vhost and multiple virtio PCI adapters to
scale the total number of virtio-scsi LUNs into a single KVM guest.
The test setup is currently using 4x SCSI LUNs per vhost WWPN, with 8x
virtio PCI adapters for a total of 32x 500MB ramdisk LUNs into a single
guest, along with each backend
2012 Feb 21
3
Using earth.dist function
Hi Everyone,
I am a graduate student who will be using R to do my analysis. I need to do
a spatial analysis, and the first step is to calculate the geographic
distance between my study sites. I am hoping to use earth.dist because it
allows for multiple pairwise distances to be calculated at one time. I have
done a sample calculation, and I seem to have a problem between the steps of
using
2011 Mar 21
1
Lat Lon NetCDF subset
Hi,
I'm trying to read a subset of a netcdf file into R, but although I'm
relatively experienced using R, I'm still new to netCDF files, so this may
be a very simple/stupid question!
I've included an example of the type of file I'm looking at here.
www.met.reading.ac.uk/~swp06hg/ccd1983_01-dk1_20.nc (~7Mb)
It's a 2D array of the variable CCD along with its lat and
2008 Apr 24
2
problem with "which"
Hi,
I'm having trouble with the "which" or the "seq" function, I'm not sure.
Here's an example :
> lat=seq(1,2,by=0.1)
> lat
[1] 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0
> which(lat==1)
[1] 1
> which(lat==1.1)
[1] 2
> which(lat==1.2)
[1] 3
> which(lat==1.3)
[1] 4
> which(lat==1.4)
[1] 5
> which(lat==1.5)
[1] 6
>
2009 Nov 10
3
NetCDF output in R
Dear CSAG R users,
I will be glad if someone can point out what I am doing wrong or not doing at all in this.
I am trying to write out netcdf file in R. I have 26 time step but only the first time step is written.
For example:
>library(ncdf)
>path <- '/home/work/'
>forecast <- open.ncdf(paste(path,'cam.1980.2005.nc',sep=""))
> fore <-
2009 Nov 10
3
NetCDF output in R
Dear CSAG R users,
I will be glad if someone can point out what I am doing wrong or not doing at all in this.
I am trying to write out netcdf file in R. I have 26 time step but only the first time step is written.
For example:
>library(ncdf)
>path <- '/home/work/'
>forecast <- open.ncdf(paste(path,'cam.1980.2005.nc',sep=""))
> fore <-
2010 Jan 05
3
R matching lat/lon pairs from two datasets?
Hello,
I am trying to match lat/lon from one dataset with the lat/lon from a
second dataset and use that rows data for calculations. I am using
match, but this is finding the first match and not comparing the pair,
how can I determine if the lat/lon are the same? See example below. Is
there a better way to determine to a matching pair of lat/lon values?
Example Datasets:
> data2
2007 Oct 05
3
help in substitute function
Hi,
I try to use a substitute function to generalise a equation.
I have this:
expression(1+2*pred+3*lat)
I need to define the equation in function of x1 and x2 variables. Also I try
to define who is x1 and x2. I try this:
X1 <- "pred"
X2 <- "lat"
Now I need substitute pred and lat in equation by x1 and x2 defined on X1 and
X2 above, I try this way:
>
2018 May 20
1
How to average values from grid cells with coordinates
Hi lily,
It's not too hard to do it using dataframes. Getting the indexing
right is usually that hardest part:
# these values are the centers of the black cells
lat<-rep(28:38,11)
lon<-rep(98:108,each=11)
pop<-sample(80:200,121)
# just use the data.frame function
blackcells<-data.frame(lat=lat,lon=lon,pop=pop)
plot(0,type="n",xlim=c(97.5,108.5),ylim=c(27.5,38.5),
2018 Jan 24
2
Issue with concatenation of URL losing
Thank you for your help in advance.
I am trying to pull some data back from a web service
library(httr)
sample2 <- GET("https://elevation.mapzen.com/height?json={\"range\":false,\"shape\":[{\"lat\":40.7,\"lon\":-76.5}]}&api_key=mycode")
result2 <- content(sample2)
height <- result2$height[[1]]
I would like to put by own latitude
2003 Jul 30
3
nested for() loops for returning a nearest point
I'm trying to do the following:
For each ordered pair of a data frame (D1) containing longitudes and
latitudes and unique point IDs, calculate the distance to every point in
another data frame (D2) also containing longitudes, latitudes and point
IDs, and return to a new variable in D1 the point ID of the nearest
element of D2.
Dramatis personae (mostly self-explanatory):
D1$long
2009 Jan 12
3
Working with duplicated rows
Dear all,
I have a dataframe of 3 columns, consisting of 'longitude', 'latitude'
and a corresponding 'value'. Where identical 'longitude' and 'latitude'
pairs occur more than once, I want their corresponding 'value' to be
summed and the 'pair' to only appear once.
For example:
long lat value
10 20 5
6 2 3
2018 Jan 24
0
Issue with concatenation of URL losing
a) you need to read the help pages on the paste function... more likely
you are looking for the paste0 function because extra spaces will most
likely break the GET request format.
b) quotes do not become "stuck" as \" ... that is a visual representation
intended to clarify that that quote is not terminating the string but is
actually part of it. If you want to see the contents
2008 Jan 30
2
data.frame transformation
Dear all,
maybe somebody can provide some help for this problem:
Example:
I've got the following dataframe "data":
grid.id<-c(1:4)
lat<-c(10,12,13,15)
species1<-c(0,0,0,1)
species2<-c(1,1,0,0)
species3<-c(1,1,1,1)
data<-data.frame(cbind(grid.id,lat,species1,species2,species3))
How can I, out of "data" make a new dataframe, where the cells of value
2004 Apr 16
1
Spatial Voter Model
Has anyone coded (in R) a spatial voter model with mutation (e.g.,
Kimura and Weiss 1964, Holley and Liggett 1975, Durrett and Levin
1996)? In principle, it is quite straightforward, but useful
simulations require many many iterations, making my "straightforward"
version too time intensive. I am happy to share my version (without
mutation, below), for what it is worth.
Thank you in
2012 Nov 20
2
[lattice] how to overlay a geographical map on a levelplot?
r-help lattice adepts:
I have a question which is somewhat geospatial, so I posted to r-sig-geo
rather than here:
https://stat.ethz.ch/pipermail/r-sig-geo/2012-November/016757.html
> summary: How to overlay a geographical map on each panel in a lattice
> (or Trellis), e.g., of levelplot's? Note I am not inquiring about
> creating choropleth maps[,]
which Sarkar 2008 covers quite
2012 Dec 11
6
Latitudinal mean of values in a data frame
Dear all,
I have a big file containing latitude points(-10 to 80) and
corresponding values.
Example data
Lat=c(69.48134, 69.49439, 69.50736, 69.52026, 69.52438, 69.53308,
69.53746, 69.54365, 69.54582, 69.6884, 69.69272, 69.998, 70.00055,
70.00106, 70.00295, 70.00308, 70.00363, 70.00427, 70.00665, 70.00906,
70.01049, 70.01053, 70.01075, 70.01208, 70.01236, 70.01418, 70.01452,
70.01646,