object InverseDistanceWeighted
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- case class Options(radiusX: Double = Double.PositiveInfinity, radiusY: Double = Double.PositiveInfinity, rotation: Double = 0.0, weightingPower: Double = 2.0, smoothingFactor: Double = 0.0, equalWeightRadius: Double = 0.0000000000001, cellType: CellType = IntConstantNoDataCellType, onSet: (Double) ⇒ Double = x => x) extends Product with Serializable
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def
apply[D](points: Traversable[PointFeature[D]], rasterExtent: RasterExtent, options: Options = Options.DEFAULT)(implicit ev: (D) ⇒ Double): Raster[Tile]
Compute an Inverse Distance Weighting raster over the given extent from the given set known-points.
Compute an Inverse Distance Weighting raster over the given extent from the given set known-points. Please see https://en.wikipedia.org/wiki/Inverse_distance_weighting for more details. Implementation taken partially from GDAL GDALGridInverseDistanceToAPower
- points
A collection of known-points
- rasterExtent
The study area
- returns
The data interpolated across the study area
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- object Options extends Serializable