VectorToRaster

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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8. def countPoints(points: Seq[Point], rasterExtent: RasterExtent): Tile

   Gives a raster that represents the number of occurring points per cell.

   Gives a raster that represents the number of occurring points per cell.

   points

   Sequence of points to be counted.

   rasterExtent

   RasterExtent of the resulting raster.

9. final def eq(arg0: AnyRef): Boolean

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10. def equals(arg0: Any): Boolean

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11. def finalize(): Unit

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12. final def getClass(): Class[_]

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13. def hashCode(): Int

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14. def idwInterpolate(points: Seq[PointFeature[Int]], re: RasterExtent, radius: Option[Int]): 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.

    points

    A collection of known-points

    re

    The study area

    returns

    The data interpolated across the study area

15. def idwInterpolate(points: Seq[PointFeature[Int]], re: RasterExtent, radius: Int): 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.

16. def idwInterpolate(points: Seq[PointFeature[Int]], re: RasterExtent): 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.

17. final def isInstanceOf[T0]: Boolean

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18. def kernelDensity[D](points: Seq[PointFeature[D]], transform: (D) ⇒ Int, kernel: Kernel, rasterExtent: RasterExtent): Tile

    Computes a Density raster based on the Kernel and set of points provided.

    Computes a Density raster based on the Kernel and set of points provided.

    points

    Sequence of point features who's values will be used to compute the density.

    transform

    Function that transforms the point feature's data into an Int value.

    kernel

    Kernel to be used in the computation.

    rasterExtent

    Raster extent of the resulting raster.

    Note

    KernelDensity does not currently support Double raster data. If you use a Raster with a Double CellType (FloatConstantNoDataCellType, DoubleConstantNoDataCellType) the data values will be rounded to integers.

19. def kernelDensity[D](points: Seq[PointFeature[D]], kernel: Kernel, rasterExtent: RasterExtent)(implicit transform: (D) ⇒ Int): Tile

    Computes a Density raster based on the Kernel and set of points provided.

    Computes a Density raster based on the Kernel and set of points provided.

    points

    Sequence of point features who's values will be used to compute the density.

    kernel

    Kernel to be used in the computation.

    rasterExtent

    Raster extent of the resulting raster.

    Note

    KernelDensity does not currently support Double raster data. If you use a Raster with a Double CellType (FloatConstantNoDataCellType, DoubleConstantNoDataCellType) the data values will be rounded to integers.

20. final def ne(arg0: AnyRef): Boolean

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21. final def notify(): Unit

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22. final def notifyAll(): Unit

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23. final def synchronized[T0](arg0: ⇒ T0): T0

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24. def toString(): String

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25. final def wait(): Unit

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26. final def wait(arg0: Long, arg1: Int): Unit

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27. final def wait(arg0: Long): Unit

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