similar to: 2D interpolation function

Hello again, There is any package which does Z aware (real 3D) interpolations? It can be any method (IDW, kriging or spline) but it should take into consideration not only x and y coordinates for interpolation, but also z coordinate. I looked into different packages but it seems i didn't find the right one. The ultimate goal is to import the output into a GIS (Geographical Information

Hello R users, I have numerical data sampled on two grids, each one shifted by 0.5 from the other. For example: grid1 = expand.grid(x=0:3, y=0.5:2.5) grid2 = expand.grid(x=0.5:2.5, y=0:3) gridFinal = expand.grid(x=0.5:2.5, y=0.5:2.5) plot(gridFinal, xlim=c(0,3), ylim=c(0,3), col="black", pch=19) points(grid1, xlim=c(0,3), ylim=c(0,3), col="red", pch=19) points(grid2,

Dear, I have XYZ data available in a MySQL database. I get it out, can plot the data with the plot() function, load it into a geoR datastructure. But what I actually would like to do is a simple contouring of the data based on a no Kriging interpolation such as TIN based. I know the first thing I shold do is interpolate a full matrix for the region I have my points for, then contour should

All, I am new to using R and know some basics. I wish to use kriging in R to do the following: given data Y =f(X1,X2,X3,.....,Xn) --1000+ irregular measured data set. I would like to be able to get a single value y given sinle input set (x1,x2,x3,...xn) A google search on this takes me lierally to the same example on involving analysis with soil sampling and I cannot figure out how to

Dear all, There has been some time since I asked about interpolation in higher (>2) dimensions, and I must admit I failed to write a function to do this myself the last time, but eventually ended up doing it in MATLAB. I tried to translate the MATLAB code, but MATLAB code is so much more opaque than R (S) code, so I failed that too, mainly because I could only get one MATLAB session, I would

Hi everyone, I want to plot a 3D interpolation of the concentration of aquatic organisms. My goal would be to have the result represented as clouds with a density proportional to the abundance of organisms, so that I could fly (well, swim actually ;) ) through the scene and see the patches here and there. Basically, I want to do something like this: http://www.youtube.com/watch?v=27mo_Y-aU-c but

hi guys I need to interpolate values for the zero coupon yield curve. Following data is given date days rate 1996 01

Hi, I have three matrices (X,Y,P) with the same dimension. The X,Y grid is regular and I want to perform linear interpolation to pick out certain points. In matlab appropriate call is something like Pout=interp2(X,Y,P,Xout,Yout, method="linear") where Xout and Yout are the locations where I want the Pout data (typically a different grid). (Scipy has this routine in

Hello all, I want to interpolate some data i prepared in GRASS, so I'm looking for what interpolation methods are available for R. In GRASS I can do Splines with tension and IDW. I'm looking for something like multiquadric equations. Is there any function/package available fo rthis? thanks all -- +-------------------------------------------------+ Carlos Henrique Grohmann de

Hi everybody. i have 2 datasets : one with a long grid a lat grid and a bathymetry grid the second one only has the long and lat coordinates. So i want to know the bathymetry associated to the second dataset. I thought it was a good idea to do an interpolation between the two datasets. I find a script doing that on matlab but i want to do it on R. Do you how to do it? for ii =

Dear all, I'm trying to interpolate a dataset to give it twice as many values (I'm giving the dataset a finer resolution by interpolating from 1 degree to 0.5 degrees) to match that of a corresponding dataset. I have the data in both a data frame format (longitude column header values along the top with latitude row header values down the side) or column format (in the format latitude,

Hi, I'm trying to determine if R is useful to me. I've browsed 'The Basics of S and S-Plus' (Krause & Olson), and like the logic of the language. However, I don't see an easy way to do things like this: * given a set of observations (x,y) (x and y equal-length vectors), and a 2nd set of abscissas x2, interpolate y at the new abscissas x2. (for now, I don't really

Hi, I have a two Colum matrix ( I named it holder) as shown bellow. It seems to be three columns, but the first column contains the row names. I am trying to fill all NAs by linear interpolation the known values in the matrix. I tried using the interpNA function, but I get an error message: > interpNA(holder, method = "linear") Error in approx(idx, x[idx], 1:n, method = method, f

Hi R experts, I have the following timeseries data: #example data structure a <- c(NA,1,NA,5,NA,NA,NA,10,NA,NA) c <- c(1:10) df <- data.frame(timestamp=a, sequence=c) print(df) where i would like to linearly interpolate between the points 1,5, and 10 in 'timestamp'. Original timestamps should not be modified. Here the code I use to run the interpolation (so far): # linear

Hello, I have 15 data points (weight at birth) by age which I want to interpolate back in time (to 5 more age points). There are many functions in R to do this and I wonder if anyone has experience in using these -- any preference/caveat etc? I am trying to find an alternative to linear interpolation. Using R 1.6.0 under windows TIA Marwan

Hello, I'm currently trying to find a method to interpolate or smooth data that represent a trajectory in space. For example, I have an ordered (=time) set of (x,y) tuples which constitute a path in a 2D space. Is there a way using R to interpolate between these points in a way similar to spline interpolation so that I get a smooth path in space? Greetings, Dieter -- Dieter Vanderelst

Dear all, I am just wondering if anybody has implemented a function that can give a piecewise linear interpolation in more than 2 dimensions? I have looked at the akima package, but I would rather like a piecewise linear interpolation rather than a spline and while it did the job quite satisfactory for 2 dimensions, I need to interpolate in at least three dimensions. If anybody has implemented

Hi there, I have been using the Tps function (within the Fields package) for a while now to interpolate different sedimentary units. Due to the method of formation of the units I know that at some edges the thickness of the unit decreases to zero. I was wondering if there was someway to specify that the interpolation only occurs within the convex hull of the data, outside of which the the values

Hi there, I?ve got a datatable in R which I try to interpolate with this and get the Error below: > new$temp<- approx(w03_11temp$temp, n = (nrow(w03_11temp)*5))$y Error in new$temp <- approx(w03_11temp$temp, n = (nrow(w03_11temp) * 5))$y : Object of type 'closure' not registered Any idea?? Thanks a lot. -- View this message in context:

Howdy everyone. I am using modalbox which is very nice an easy to use. I have this for an edit for a company listing: <td><%= link_to(''Manage Companies'', {}, :onclick => ''Modalbox.show(\''/ companies/edit/#{company.id}\'', {width: 600}); return false;'') %></td> The link is not putting the company.id in it puts #{