similar to: Using R in combination with GRASS for image classification

Greetings! Is there in any package for R which can help me generate madogram, rodogram, semi-variogram, cross variogram from landsat imagery. I intend to select portions of large imagery (i.e., obtain subsets) and generate the above said texture layers. A simple Google search led to me a result suggesting SpatialExtremes for generating madograms. However I am not sure about its capability to

Hello everyone! I am using GRASS with spgrass6 for my work. I will be using variograms in the process of landsat image classification. I am quite ok with GRASS but am finding R really tough. I understand that spgrass6 is a link between GRASS and R which can read and write raster/vector layers. Out of really many packages in R, for generating variograms out of landsat images which packages of R

The majority of the functionality present in the gstat stand-alone program (http://www.gstat.org/) is now available as a package/library for the S language (R, S-Plus), again called gstat. The package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Gstat was started 10 years ago and was released under the GPL in 1996; the

The majority of the functionality present in the gstat stand-alone program (http://www.gstat.org/) is now available as a package/library for the S language (R, S-Plus), again called gstat. The package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Gstat was started 10 years ago and was released under the GPL in 1996; the

Hi, I read somewhere that when carrying out geostatistical analysis in R you should not use latitude and longitude...can anyone expand on this a little for me, and what would be the best coordinate system to use? I have my data in a geographic coordinate system, WGS84, decimal degrees....is this the wrong format for such analyses? I have also converted my data in the UTM projection and so have

Hi, I am C Karthik Iyer, a 3rd year B Tech student at NITK Surathkal. I am interested in working on projects on Information Retrieval and Machine Learning. I've had previous experience on working on projects regarding Question Answering Systems. I have a project idea which includes both IR and ML but i dont know how feasible the idea is. Could you guys say when will you be available

Hi If you read the description of "varcov.spatial" you'll see that it is used to *predict* a covariance matrix, based on the parameters of the covariance function. So you don't need the oebserved data, you need parameters for the covariance function. Regards EJ On Thu, 2003-04-17 at 05:43, Yan Yu wrote: > THanks for the suggestion. > I have a Q when trying to use it..

I have this assignment to do and after ten hours of constant trying my eyes ache and i give up.. all i'm able to get is this plot please help me these are the commands i have used till now read.table(file.choose(), sep=";", header=T) read.table(file.choose(), sep=";", header=T)->areas melt(areas,id=c("Year","State"),m=c("Rice"))->

Hi, all, Have anyone used kringing included in R? How is it? Does it handle anisotropy data well? How does it compare with Kriging in Arc/Info? or other geostatistics software customized to do kriging or other geostatistics functions? I tried Easykriging, a geostatistics tool developed for Matlab. It has very nice GUI, but it does not provide library which i can call in my programs. so it is

I'm havinf a problem with a simple file i have the following data State 1960 1970 1980 1990 1 All India 35988.70 37346.00 39707.30 42321.00 2 Andhra Pradesh 3431.03 3163.27 3687.23 3695.63 3 Assam 1902.93 2001.60 2278.47 2525.33 4 Bihar 5277.07 5133.80 5138.70 4662.57 5 Gujarat 538.13 456.10 484.23 590.47 6

Schlatter Christian wrote: >Dear list members > > > >I'm very new to R but a little informed about geostatistics. > >As I was looking for possibilities of geostatistical analysis in R I encountered at least two very interesting packages: > > > >Rgeo and gstat > > > >And of course I'm wondering now about the one which fits better my needs

On Thu, Jun 23, 2016 at 9:54 AM, Adam Nemet <anemet at apple.com> wrote: > > On Jun 9, 2016, at 9:21 AM, Vikram TV via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > > > > On Wed, Jun 8, 2016 at 10:20 PM, Hal Finkel <hfinkel at anl.gov> wrote: > >> >> ------------------------------ >> >> *From: *"Vikram TV via

> On Feb 22, 2016, at 6:27 AM, Vikram TV <vikram.tarikere at gmail.com> wrote: > > > > On Fri, Feb 19, 2016 at 10:46 PM, Vikram TV <vikram.tarikere at gmail.com <mailto:vikram.tarikere at gmail.com>> wrote: > Hi, > > Thanks for the reply. Few thoughts inlined. > > On Fri, Feb 19, 2016 at 8:00 AM, Adam Nemet <anemet at apple.com

Marine Spatial Modeler/Quantitative Ecologist position Full-Time/Exempt (Salaried) contract position with CSS-Dynamac (40 hrs per week) Job ID: 2016-1790 Location: Silver Spring, MD, USA; National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) Posted Date: 11/29/2016 Category: Science/Engineering Security Clearance Level: National Agency Check

Hi, Thanks for the reply. Few thoughts inlined. On Fri, Feb 19, 2016 at 8:00 AM, Adam Nemet <anemet at apple.com> wrote: > Hi Vikram, > > On Feb 18, 2016, at 9:21 AM, Vikram TV via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > > Hi all, > > I have created a patch (up for review at: http://reviews.llvm.org/D17386) > that does Loop Fusion implementation.

I want to sort my following data set according to value in 4th column 0 1 0 27877.3044386212 15.8733019973557 2640.42407064348 0 1 1 27470.1699006254 35.4182473588807 2303.26461260826 0 1 2 27468.0314985496 38.4400363878507 2300.05521684593 0 1 3 27469.1130543141 40.7540672493746 2299.32564458085 0 1 4 27442.3152643187 52.4342875797706 2277.18286686329 0 1 5 27440.7923082136

Hi, I am working on upgrading our compiler backend from llvm 2.8 to 3.0/3.1. I have been reading the release docs, llvm blogs etc that talk about the type system rewrite, exception handling rewrite, new register allocators etc to know the changes. One of our major concerns is that even though our compiler's run time has boosted a lot, thanks to llvm, our compile time is pretty high. I

The NOAA National Centers for Coastal Ocean Science is hiring a Computational Ecologist, a statistical/computational ecologist with experience fitting advanced spatial models to marine wildlife survey data (e.g., seabirds and marine mammal transects, fisheries trawl surveys) in R and other statistical languages. This is a full-time, long-term stable contract position. We are looking for an

On Wed, Jun 8, 2016 at 10:20 PM, Hal Finkel <hfinkel at anl.gov> wrote: > > ------------------------------ > > *From: *"Vikram TV via llvm-dev" <llvm-dev at lists.llvm.org> > *To: *"DEV" <llvm-dev at lists.llvm.org> > *Sent: *Wednesday, June 8, 2016 2:58:17 AM > *Subject: *[llvm-dev] [Proposal][RFC] Cache aware Loop Cost Analysis >

Hi Rusty, I hit a bug in virtio_ring.c:218 when I was stressing virtio_net using kvm with -smp 4. static void vring_disable_cb(struct virtqueue *_vq) { struct vring_virtqueue *vq = to_vvq(_vq); START_USE(vq); --> BUG_ON(vq->vring.avail->flags & VRING_AVAIL_F_NO_INTERRUPT); vq->vring.avail->flags |= VRING_AVAIL_F_NO_INTERRUPT;