# Documentation

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# TriScatteredInterp

Class: TriScatteredInterp

(Not recommended) Interpolate scattered data

### Note

`TriScatteredInterp` is not recommended. Use `scatteredInterpolant` instead.

## Syntax

```F = TriScatteredInterp() F = TriScatteredInterp(X, V) F = TriScatteredInterp(X, Y, V) F = TriScatteredInterp(X, Y, Z, V) F = TriScatteredInterp(DT, V) F = TriScatteredInterp(..., method) ```

## Description

`F = TriScatteredInterp()` creates an empty scattered data interpolant. This can subsequently be initialized with sample data points and values (`Xdata`, `Vdata`) via `F.X = Xdata` and `F.V = Vdata`.

`F = TriScatteredInterp(X, V)` creates an interpolant that fits a surface of the form `V = F(X)` to the scattered data in (`X`, `V`). `X` is a matrix of size `mpts`-by-`ndim`, where `mpts` is the number of points and `ndim` is the dimension of the space where the points reside (`ndim` is 2 or 3). The column vector `V` defines the values at `X`, where the length of `V` equals `mpts`.

`F = TriScatteredInterp(X, Y, V)` and ```F = TriScatteredInterp(X, Y, Z, V)``` allow the data point locations to be specified in alternative column vector format when working in 2-D and 3-D.

`F = TriScatteredInterp(DT, V)` uses the specified `DelaunayTri` object `DT` as a basis for computing the interpolant. `DT` is a Delaunay triangulation of the scattered data locations, `DT.X`. The matrix `DT.X` is of size `mpts`-by-`ndim`, where `mpts` is the number of points and `ndim` is the dimension of the space where the points reside, ```2 <= ndim <= 3```. `V` is a column vector that defines the values at `DT.X`, where the length of `V` equals `mpts`.

`F = TriScatteredInterp(..., method)` allows selection of the technique `method` used to interpolate the data.

## Input Arguments

 `X` Matrix of size `mpts`-by-`ndim`, where `mpts` is the number of points and `ndim` is the dimension of the space where the points reside. Input may also be specified as column vectors (`X`, `Y`) or (`X`, `Y`, `Z`) `V` Column vector that defines the values at `X`, where the length of `V` equals `mpts`. `DT` Delaunay triangulation of the scattered data locations `method` `natural` Natural neighbor interpolation `linear` Linear interpolation (default) `nearest` Nearest-neighbor interpolation

## Output Arguments

 `F` Creates an interpolant that fits a surface of the form ```V = F(X)``` to the scattered data.

## Evaluation

To evaluate the interpolant, express the statement in Monge's form `Vq = F(Xq)`, `Vq = F(Xq,Yq)`, or `Vq = F(Xq,Yq,Zq)` where `Vq` is the value of the interpolant at the query location and `Xq`, `Yq`, and `Zq` are the vectors of point locations.

## Examples

Create a data set:

```x = rand(100,1)*4-2; y = rand(100,1)*4-2; z = x.*exp(-x.^2-y.^2);```
Construct the interpolant:
`F = TriScatteredInterp(x,y,z);`
Evaluate the interpolant at the locations `(qx, qy)`. The corresponding value at these locations is `qz` .
```ti = -2:.25:2; [qx,qy] = meshgrid(ti,ti); qz = F(qx,qy); mesh(qx,qy,qz); hold on; plot3(x,y,z,'o');```

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## See Also

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