For computational purposes, I need to resample them over a grid with a used-defined space discretization (say, 5 m). 4D interpolation plot with matlab of scattered data. Any. random(100) # target grid to interpolate to xi = yi = np. A MATLAB Function does not support code generation (and rightly so) such that a transfer function may be implemented inside it. Numerical gradients, returned as arrays of the same size as F. I tried to store the computed scatteredInterpolant objects for each time step in a cell array,. The function is defined by z = f (x, y). Create a piecewise cubic monotone spline interpolation based on arbitrary points. Interpolation. Sign in to answer this question. . x and y are arrays of values used to approximate some function f, with y = f (x). The first output FX is always the gradient along the 2nd dimension of F, going across columns. Prototyping at the command line may not yield the same level of performance. LinearNDInterpolator(points, values, fill_value=np. nan, rescale=False) #. The 'linear' extrapolation method is based on a least-squares approximation of the gradient at the boundary of the convex hull. F = scatteredInterpolant (T. With these three matrices I created one surface, and than I got more three matrices to create another one. 2차원에서는 (xq,yq) 와 같은. Use griddedInterpolant to perform interpolation. X,contour_grid. griddata, and matplotlib. A scatteredInterpolant object F represents a surface of the form v = F(X). pyplot as plt import numpy as np from scipy. Interpolation. Your program might issue warnings that do not always adversely affect execution. I was using it for my research but after some playing around it seems to just be. Thus, since scatteredInterpolant will only provide at best a piecewise linear surface, you may want to use a tool like griddata or my own gridfit. I have tryed a lot with all possible other functions (pattern, griddata,. For example, I have the following non-gridded data points, known v = F(x,y),. TriScatteredInterp and griddata only interplate but can not extrapolate. Plot the two sets of. Learn more about TeamsCut off 3d plane when it is outside a structure (MATLAB) This is all in 3d space. 您可以使用插值来填充缺失的数据、对现有数据进行平滑处理以及进行预测等。. However, the coordinates are not evenly spaced. Best Answer. a=5 b=0. I am now trying to draw planes through the shape (see picture below). 912 etc etc. interpn expects gridded data in a full grid format, which is not what your Y represents, at least in its current form. Step 2: constuct "V" of n by n matrix of velocity by rearranging the data. The sample points X must have size NPTS-by-2 in 2-D or NPTS-by-3 in 3-D, where NPTS is the number of points. The answer is, first you interpolate it to a regular grid. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). 9 equations. scatteredInterpolant will. PCHIP 1-D monotonic cubic interpolation. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). 3 3. Thanks Walter, I appreciate the quick response. scatteredInterpolant contains data and it behaves like an array—in MATLAB language, it is called a value object. Interp (3. 000 417826. interpolate. x=griddata (a,b,c,y,z) I calculate y and z values and would like to find corresponding x values. . You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). random. . griddata (points, values, xi, method = 'linear', fill_value = nan, rescale = False) [source] # Interpolate unstructured D-D data. Inputs x, y, z are vectors of the same length or x, y are vectors and z is matrix. It produces the exact same output data from my input data as scatteredInterpolant. Others have suggested extrapolation. When I did that step, command window shows " Requested 61890x61890 (28. You can create the interpolant by calling scatteredInterpolant and passing the point locations and corresponding values, and optionally the interpolation and extrapolation methods. I have a database as a 2D matrix which I interpolate using scatteredInterpolant. 5x0. The currently preferred way to perform scattered data interpolation is via the scatteredInterpolant object class: >> F = scatteredInterpolant (. 使用 scatteredInterpolant 执行 散点数据 . % Class 2 taken to be the upper limit as same procedure as Class 1. Sign in to answer this question. interp2 is a wrapper for griddedInterpolant. I have created an interpolant "F", using the function "scatteredInterpolant". ). However, it is rather time consuming to perform the triangulation every time I use the file. I tried it using "scatteredInterpolant", but the results were quite bad. Use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data . 974 5333045. Use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data . 8 b=0. 3D extrapolation without ScatteredInterpolant. Z); f. 15, 3. Scattered data interpolation ( griddata) # Suppose you have multidimensional data, for instance, for an underlying function (f (x, y)) you only know the values at points (x [i], y. If it is possible in your situation that the function as sampled is not uniformly surrounded by constant values smaller than the next closest interior points, then there could be an angle where the exterior points could be considered to have an upwards slope. I need to interpolate scattered data on a model represented by a 3D surface in Matlab. Answered: Cris LaPierre on 5 Aug 2021. 7e7). random (100) y =. Then i m trying to plot the equation. Use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data . Interp = scatteredInterpolant (supportPts (:,1),supportPts (:,2),Fval); %evaluate at center of bottom left element. You need 2d interpolation over scattered data. rbf subpackage implements two RBF algorithms, each with its own set of benefits and drawbacks. However, before doing that, I created a mesh as a querry points. scatteredInterpolant is not supported at all for code generation (at least in my MATLAB version, might be improved in recent Versions). This is a shape-preserving spline with continuous first derivative. What I have is a matrix of x, y, z points that is my base data. Dear Sir/Madam. )Dear all, I had the value of precipitation in 93 scattered coordinate stations; I used "scatteredInterpolant" to interpolate this 93 scattered data in gridded coordinates. " regardless of whether there's an extrapolation method . This results in 2^k-1 interpolated points between sample values. . V contains the corresponding function values at each sample point. For griddedInterpolation, the x_grid, y_grid and z_grid values should be something like those generated using ndgrid. F = scatteredInterpolant (X,v) creates an interpolant that fits a surface of the form v = F (X) to the sample data set (X,v). Use griddedInterpolant to perform interpolation with gridded data. Use scatteredInterpolant instead. This can be done either switching to a Interpreded MATLAB block or using coder. Use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data . Use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data . Construct the interpolation object using only observations in the format Home · ScatteredInterpolation. My question is : can we speed up the scatteredinterpolant function by using it with parallel too. scatteredInterpolant provides functionality for approximating values at points that fall outside the convex hull. and I calculate with some formulas y=4. F = scatteredInterpolant (x_repeat,x1 (:,3)); %rather than throwing an error, shows a warning and cleans your data for you. I want to specify that scatteredInterpolant worked well in a script but not in the simulink function block. Learn more about interpolation, scatteredinterpolant, natural method, nan MATLAB. 使用 scatteredInterpolant 对散点数据的二维或三维数据集执行插值。scatteredInterpolant 返回给定数据集的插值函数 F。可以计算一组查询点（例如二维 (xq,yq)）处的 F 值，以得出插入的值 vq = F(xq,yq)。. 插值是在一组已知数据点的范围内添加新数据点的技术。. For more information about griddata, griddata3 and griddatan read octave documentation. My scattered data (sample: XS1 and XS2) have [x,y,z] values and appear as multiple lines. To generate gridded data, I tried to interpolate the scattered data on a pre-generated grid using scatteredInterpolant(x,y,z). scatteredInterpolant returns the interpolant F for the given data set. You can use scatteredInterpolant to do this for you. The function in matlab is called Tri=delauny (X,Y,Z). . Thank you very much! ColorInterpolant = scatteredInterpolant (xCoord, yCoord, xVort); contourf (xMesh, yMesh, ColourMatrix, 'LineStyle','none');Natural neighbor interpolation is defined here, it is an intriguing method that uses voronoi diagrams. The points are sampled at random 1-D locations between 0 and 20. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). 6. 98. The only difference in my code was just using:Answered: Cris LaPierre on 5 Aug 2021. I am at a loss on how to continue, advice, and suggestions would be greatly appreciated. Closest coordinate points between two data sets. Besides splitting the creation of the object from the invocation for interpolation purposes, griddata simply does not. I tried to put the. scatteredInterpolant returns the interpolant F for the given data set. Merely not to your liking. Theme. You can create the interpolant by calling scatteredInterpolant and passing the point. 208 1744. 18sec , griddenInterpolant:4. I have tried num = 1,3,4, and as you suggest in your notes 3 is best, but, by eye, still exaggerates the missing corner points. example. It is possible to fit a single polynomial interpolant to data, with a degree one less than the number of data points. libInterpolate depends on Boost and Eigen3, so you will need to include the directories containing their header. This program computes a Delaunay triangulation of the data points, and then constructs an interpolant triangle by triangle. scatteredInterpolant proporciona una funcionalidad para aproximar valores en puntos que se encuentran fuera de la envolvente convexa. scatteredInterpolant seems to do the job quite well for grid points within the boundaries of the original cloud; however, I still need the grid points falling outside the limits of the original dataset to be NaNs. interpolate. Type erased AnyInterpolator container can hold each of the implemented interpolators. I want to find the coordinates in the first data set that are closest to. Copy. griddedinterpolant expects points on a regular grid pretty much like interp2 - so that function seems unsuitable for your case. qhull is a third-party library; if I recall correctly it is from a UK university. But I wasn't able to find an evaluation method for the "scatteredInterpolant" - object. This class returns a function whose call method uses spline interpolation to find the value of new points. If they're not in a grid, use scatteredInterpolant like Mike showed you. I have created a 2D contour map using a 25x19 matrix and was wondering how to interpolate the value at certain user-input x-y coordinates? Essentially, I want the user to enter coordinates that are either integer or decimal, and for the code to output the value at that corresponding location. griddata in this case, but you seem to want a callable interpolator, whereas griddata needs a given set of points onto which it will interpolate. All of the input arguments "x", "y", and "v. Suppose you have multidimensional data, for instance, for an underlying function \ (f (x, y)\) you only know the values at points (x [i], y [i]) that do not form a regular grid. Unfortunately MATLAB does not have any scattered interpolation routines that work in more than 3 dimensions, but gridded interpolation can. pwl_interp_2d_scattered , a C++ code which produces a piecewise linear interpolant to 2D scattered data, that is, data that is not guaranteed to lie on a regular grid. ) #. I have a set of data with a value at some x,y,z coordinates. One other factor is the desired smoothness of the interpolator. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Multiple sample values into scatteredInterpolant . Parameters: points 2-D ndarray of floats with shape (n, D), or length D tuple of 1-D ndarrays with shape (n,). Unfortunately MATLAB does not have any scattered interpolation routines that work in more than 3 dimensions, but gridded interpolation can. In a previous discussion Kelly provided a means to convert a scattered vector to gridded. Interpolation (. 0884. 插值. If your data can always be viewed as gridded data with missing elements, and the idea is to to fill the missing data with something, you could try this FEX fileNo you can use griddata and scatteredInterpolant. F = scatteredInterpolant(x,y,v) F = scatteredInterpolant(x,y,z,v)Generate a regular mesh from irregular data using interpolation. Please execute the attached files in the following order:a. Please take a look at Delaunay and Trisurf functions in matlab. The data set is large (110k nodes). Learn how to use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data. . This is a fast algorithm for scattered N-dimensional data interpolation and approximation. Can I define the iregular geometry of the map as queery points so that there would no contour lines outside the map?scipy. 使用 scatteredInterpolant 进行的散点数据插值使用数据的 Delaunay 三角剖分，因此对采样点 x、y、z 或 P 中的缩放问题非常敏感。出现这种情况时，您可以使用 normalize 重新缩放数据并改进结果。有关详细信息，请参阅对不同量级的数据进行归一化。ScatteredInterpolant just does what it is told, having no idea that when you try to interpolate some point in that volume, it is creating meaningless gibberish as a result. scatteredInterpolant () does not do any kind of surface fitting. The size of the input v must match the size of the original data, either as a vector or a. The interpolation data can be structured (defined on a grid) or unstructured (defined on a generic point cloud). % Shear area of I-beam when load is parallel to web. class scipy. 插值是在一组已知数据点的范围内添加新数据点的技术。. Connect and share knowledge within a single location that is structured and easy to search. Matlabs scatteredInterpolant class similarly allows for linear and nearest neighbour scattered data interpolation. A brief explanantion of these functions is given below: griddata is a function in MATLAB that performs interpolation on scattered data to produce a grid. However, I noticed that I can use the fact that the query points are always the same. 064604 0. How to retain duplicate while using. ) #. The surface always passes through the data points defined by x and v. 21 -40. Q&A for work. I haven't tried compiling or testing and my fortran may be a bit rusty, but something like the following should work. By default, griddedInterpolant uses the 'linear' interpolation method. Community Treasure Hunt. Over a given triangle, the interpolant is the linear. interpolate. The interpolation method can be "nearest", "cubic" or. problem with scatteredInterpolant: are there any. interpolate import griddata # data coordinates and values x = np. Francesc Purroy on 12 Nov 2018. More Answers (1) If your data are in a rectangular grid (i. ans =. It is just presented as being v = F(x,y) because effectively that is what it is. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). Q&A for work. This mesh is equivalent to the bounding box for Alaska. That is why the blocks simply feed into the MATLAB Function as follows. Prototyping at the command line may not yield the same level of performance. Interp = scatteredInterpolant (supportPts (:,1),supportPts (:,2),Fval); %evaluate at center of bottom left element. I post the resutls of the computational time: interp2:5. I am going to use scatteredInterpolant for interpolation of missing data. Prototyping at the command line may not yield the same level of performance. Options are "linear" or "nearest". For example; in my data. The usage is like this:I used scatteredInterpolant function to interpolate probability values all around the map. It is also significantly faster than this function and have support for extrapolation. interpolate) are the same (both involve Delaunay triangulation of data in a grid followed by linear. F = scatteredInterpolant (Xcoor, Ycoor, Zcoor,Cvapor); scatter3 (px,py,pz,4,F (px,py,pz),'filled');R equivalent to matlab griddata, scatteredInterpolant, and/or TriScatteredInterp. If you believe scatteredInterpolant is computing the wrong answer but cannot share the data with the community, please send your call to scatteredInterpolant along with the data necessary to execute that call and a description of why you believe its answer is incorrect (such as the results from a different interpolation routine) to Technical Support for investigation. I recently had the need to create a smoothed curve from a series of X/Y data points in a C# application. It is just presented as being v = F(x,y) because effectively that is what it is. So even though your data happens to look non-convex, scatteredInterpolant does not care in the least. The values it returns for. You need to make an adjustment:Accepted Answer. If they're truly scattered, scatteredInterpolant is probably the best route. Quick summary. The intention was to load up this new. This library provides classes to perform various types of function interpolation (linear, spline, etc. Y,contour_grid. So I did, and found to be twice slower for a 512 by 512 matrix. The griddatan function interpolates the surface at the query points specified by xq and returns the interpolated values, vq. scatteredInterpolant provides functionality for approximating values at points that fall outside the convex hull. 网格和散点数据插值、数据网格化、分段多项式. scatteredInterpolant() on the. You can provide the inputs in that form rather than a mxn array. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). I used scatteredInterpolant function to interpolate probability values all around the map. Use griddedInterpolant to interpolate a 1-D data set. I used the T1 image in the MRI template for MRI segmentation. Interpolation is interpolation. x,y and v are vector (1x77), while xip and yip are sample points (1x51 and 1x21)Using the scatteredInterpolant class I was able to get velocity at any location I want. It is also significantly faster than this function and have support for extrapolation. Show -1 older comments Hide -1 older comments. meshgrid(xi,yi. however, as scatteredInterpolant requires at least 2 dimensions for its indices, this doesn't work for 1d interpolation. 0000 value in temperature column representing NaN or missing data. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). You appear to be wanting to do an 11-dimensional scattered interpolation. and save to a mat file on disk. If you believe scatteredInterpolant is computing the wrong answer but cannot share the data with the community, please send your call to scatteredInterpolant along with the data necessary to execute that call and a description of why you believe its answer is incorrect (such as the results from a different interpolation routine) to Technical. (It also has definite advantages with respect to drawing lines on surfaces, if that becomes necessary. Use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data . interp2 performs many checks before calling griddedInterpolant, which is the reason for its ~400ms slower performance. Create a PDE model and include the geometry of the built-in function squareg. ycoordinate,T. I get the following warning from scatteredInterpolant. The MATLAB language is designed to give optimum performance when your application is structured into functions that reside in files. Take the output of the "scatteredInterpolant" and put it through an if statement that checks if it is within the boundary. The solutions take a long time to run. PchipInterpolator(x, y, axis=0, extrapolate=None) [source] #. S = scatteredInterpolant(x,y,z,d); Is there a way i could use something similar in Swift/Objective-c or any other compatible language to develop a small app for iOS (as well as for Android if possible) where i insert scattered data and when the user enter a value for a given X and Y he gets an interpolated value for Z (i intend to use this with. Description. What happens is this is not necessarily easy to do in a way that uses all of your cores. 128 1682. x y z data -12. As listed below, this sub-package contains spline functions and classes, 1-D and multidimensional (univariate and multivariate) interpolation classes, Lagrange and Taylor polynomial interpolators, and wrappers for FITPACK and DFITPACK functions. Extract your vertices data in a matrix. The relevant part of the code is added below. 1121 0. 2-D array of data point coordinates, or a precomputed Delaunay triangulation. scatteredInterpolant returns the interpolant F for the given data set. If xi , yi are vectors then they are made into a 2-D mesh. Use griddedInterpolant to perform interpolation with gridded data. In a previous discussion Kelly provided a means to convert a scattered vector to gridded. But without seeing the data, I am left with suggesting that POSSIBLY, one of those alternatives would be a better choice than the use of. There will be some areas where you get garbage. This means your matlab version has sample points at the positions U,V. 8sec, scatteredInterpolant: 10,1sec. Learn more about interpolation Hi, I am doing interpolation here to get values from variable z according to the respective lat lon. Improve this answer. ScatteredInterpolation. class scipy. Use griddedInterpolant to perform interpolation with gridded data. @rahnema1 the absolute positions and corresponding data will not change, regardless of whether you're in Cartesian or in Polar coordinates. Keep in mind that gridded data must include all data points on the grid: as. The points. In fact, it is provably impossible to know what is the "true" value of an interpolated fununction, merely from knowing the value of that function at a. Parameters: pointsndarray of floats, shape (npoints, ndims); or Delaunay. 048 1636. The MATLAB language is designed to give optimum performance when your application is structured into functions that reside in files. Piecewise linear interpolant in N > 1 dimensions. When you call scatteredInterpolant on the resulting matrix, it will still average the duplicates, but they will all have the same value. Overview of the ALGLIB RBF's. 9. There is no cylinder. v in the ScatteredInterpolant is just your data values at the x and y locations. 24 25. 974 5333045. You can. scatteredInterpolant 를 사용하여 2차원 또는 3차원 산점 데이터 의 데이터 세트에 보간을 수행합니다. HTH 3 Comments. Each row of X contains the coordinates of one sample point. nan, rescale=False) #. 5GB) array exceeds maximum array size preference. scatteredInterpolant returns the interpolant F for the given data set. Av = x (3)*x (4); % mm2 the web area when load is parallel to web. example. After F is calculated, you can bring in the sampled point coordinate (x_s,y_s) in to F(x_s,y_s) to get the interpolate values. scatteredInterpolant works perfectly with the syntax I used above, so thank you for this. Gridded sample data makes interpolation more efficient, because the organized structure of the data makes it easy for MATLAB to find the sample data points closest to. It is written in C, C++, Java and. I would like to make a contour plot. interp(1D, 2D, 3D) In this article we will explore how to perform interpolations in Python, using the Scipy library. The MATLAB language is designed to give optimum performance when your application is structured into functions that reside in files. According to the docs scatteredInterpolant(x,y,v) takes x, y as points and v as surface data to interpolate. It is a quick and simple fix, but I recommend. Show what you did then. Use griddedInterpolant to perform interpolation with gridded data. The calling syntax is similar to griddata. A scattered data set defined by locations X and corresponding values V can be interpolated using a Delaunay triangulation of X. values ndarray of float or complex, shape (n,). Scipy provides a lot of useful functions which allows for mathematical. 3 3. 18sec , griddenInterpolant:4. m' (which creates the 'scatteredInterpolant' object). – NYRecursion. 1 Link griddedInterpolant -- if you do not pass in vector x and vector v (1D case) -- if you have 2 or more dimensions -- then the input coordinates must be in full gridded form, not individual samples. I would have expected that the value of the interpoland at the center of the bottom left element is the mean. Before I open the email I have a strong suspicion about the. A simple way around is to add some noise to your data as with randn then ScatterInterpolant does not consider the values to be equal and it works for me. Interpolant surface fits use the MATLAB ® function scatteredInterpolant function for none, linear, and nearest neighbor extrapolation, and the MATLAB function griddata for biharmonic extrapolation. Vq = interp2 (V,k) returns the interpolated values on a refined grid formed by repeatedly halving the intervals k times in each dimension. scatteredInterpolant ClassAnswers (1) Neil Guertin on 16 May 2018. The scatteredInterpolant is doing its work using a 3-d tessellation. Scattered data, with some nasty stuff to interpolate on the edges, but still what appears to be a single valued relationship. A scattered data set is defined by sample points X and corresponding values v. Besides splitting the creation of the object from the invocation for interpolation purposes, griddata simply does not. PchipInterpolator(x, y, axis=0, extrapolate=None) [source] #. scatteredInterpolant Scattered data interpolation scatteredInterpolant performs interpolation on scattered data that resides in 2-D or 3-D space. scatteredInterpolant returns the interpolant F for the given data set. (PCHIP stands for Piecewise Cubic Hermite Interpolating. Create a 10-by-10-by-10 grid of sample points. scatteredInterpolant takes a set of sample points and returns what is essentially a function handle that can take a new point and return an interpolated value. [new_lons,new_lats] =. 5; 3. I have compared the interpolation results using the tetrahedrals found from the TetGen and. I have compared the interpolation results using the tetrahedrals found from the TetGen and from the Matlab's own. Depending on the input coordiantes and the query coordinates, it is not uncommon for the. Matlabs scatteredInterpolant class similarly allows for linear and nearest","% neighbour scattered data interpolation. interp2 is a wrapper for griddedInterpolant. The surface always passes through the data points defined by x and y. There will be some areas where you get garbage. The sample data can form a grid, or can be scattered. Based on your csv file, I am assuming you are trying to interpolate 2D data. " Does this mean that the function discovered duplicate (x,y) grid points in my inputs, or that some adjacent z-points are duplicated?scatteredInterpolant supports (x, y, v, then options, or (x, y, z, v, then options, so building an interpolation object over 2d or over 3d, that you then invoke with the appropriate number of input parameters to get results. I have a 256 x 256 x 32 grid of regularly spaced points ranging over x, y, and z and with an. scatteredInterpolant returns the interpolant F for the given data set. These tools work via triangulations of the domain - Delaunay triangulations, which result in convex things. Your lat and lon are arranged in ndgrid format, not in meshgrid format. For the third output FZ and the outputs that follow, the Nth output is the gradient along the Nth dimension of F. In a previous discussion Kelly provided a means to convert a scattered vector to gridded information, but it can potentially take up a lot of memory. My data points are scattered data in three dimension. 'nearest', 'linear', 'natural', 'cubic', or available Description Use griddedInterpolant to perform interpolation on a 1-D, 2-D, 3-D, or N-D gridded data set. That does not make it incorrect. I have been looking for a C# (C or C++ equivalents are fine too) equivalent of Mathlabs TriScatteredInterp or scatteredInterpolant methods. X and Y must be monotonic, and have the same format ("plaid") as. It allows Natural neighbour interpolation (that is a class of weighted distance interpolation as suggested in previous comments). . One other factor is the desired smoothness of the interpolator. griddedInterpolant returns the interpolant F for the given data set. It faithfully preserves input data values and produces a continuous a surface as its output. scatteredInterpolant returns the interpolant F for the given data set. Learn more about vector, scatteredinterpolant Image Processing Toolbox Hi, I have two data sets, x1,y1,z1 (represnting a coordnates as xyz coordnates), and other data set v1, v2,v3 (reprenting a vector field). I am doing data interpolation using scatteredinterpolant method. For your 3D case lets talk about computational geometry first, to understand why part of the region gives NaN from griddata. The points are sampled at random 1-D locations between 0 and 20. 128 1682. xcoordinate,T. Description. 6 3. My scattered model data are 3 . Piecewise linear interpolant in N > 1 dimensions. Apply collocation with prediction and filtering for scattered data. GitHub is where people build software. What I have is a bunch of points (x,y,w), where x and y are coordinates and w is the value. That is, my data set consists from three vectors: X, Y, D.