## org.das2.qds.util.Griddata

Codes for interpolating from irregular grids to regular grids. For these codes we use "trigulations" which are datasets that contain connections of points in other datasets. These are rank 2 datasets tri[n,3] where the 3 points are indeces of other datasets. Triangulations are generalized, where the typical case is a set of 3-node triangles. However, 2-point "triangles" can be used for linear interpolation, 4-point squares can be used for bilinear interpolation, and 4-points for 3-D triangle interpolation. DO NOT USE THIS CLASS, IT IS STILL UNDER DEVELOPMENT! This is barely tested for the nfree=1-D case!

## Griddata( )

## griddata

griddata( QDataSet triangles, QDataSet itriangle, QDataSet weights, QDataSet zbuck ) → QDataSet

Perform the interpolation for arbitrary sets of nvert points.

### Parameters

triangles - triangles mesh, presently tri[n,3] but may soon be tri[n,4] as well.
itriangle - rank n mesh identifying the triangle to use
weights - rank n+1 mesh (e.g. weights[m,3]) with a weight for each triangle node.
zbuck - dependent Z values for each point.

### Returns:

dataset with the same geometry as itriangle.
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griddata( QDataSet xx, QDataSet yy, QDataSet buck ) → QDataSet [view source]

## triLocate

triLocate( QDataSet buck, QDataSet tri, QDataSet grid ) → QDataSet

for each element of grid, identify the matching triangle.

### Parameters

buck - the data (e.g. buck[o,nfree])
tri - the triangulation (e.g. tri[n,free+1])
grid - the values to locate (e.g. grid[m,nfree])

### Returns:

the locations itri[o]
[search for examples] [view on GitHub] [view on old javadoc] [view source]

## triangulate

triangulate( QDataSet buck ) → QDataSet

return a rank 2 dataset [n,nvert] with the "triangles" connecting the buckshot data.

### Parameters

buck - dataset[m,nvert-1].

### Returns:

tri[n,3]
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## weights

weights( QDataSet buck, QDataSet tri, QDataSet grid, QDataSet itri ) → QDataSet

return the weights for each point of the grid. Let nfree be the number of independent data dimensions.

### Parameters

buck - the data (e.g. buck[o,nfree])
tri - the triangulation (e.g. tri[n,nfree+1])
grid - rank 2 dataset (e.g. grid[m,nfree])
itri - the triangle to use for each point of grid. (e.g. itri[m])

### Returns:

rank 2 (e.g. weights[m,2])
[search for examples] [view on GitHub] [view on old javadoc] [view source]