Trait

astraea.spark.rasterframes

RasterFunctions

Related Doc: package rasterframes

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trait RasterFunctions extends AnyRef

UDFs for working with Tiles in Spark DataFrames.

Since

4/3/17

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

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  2. final def ##(): Int

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

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  4. def aggDataCells(col: Column): TypedColumn[Any, Long]

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    Computes the number of non-NoData cells in a column.

  5. def aggHistogram(col: Column): TypedColumn[Any, CellHistogram]

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    Compute the full column aggregate floating point histogram.

  6. def aggMean(col: Column): TypedColumn[Any, Double]

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    Computes the column aggregate mean.

  7. def aggNoDataCells(col: Column): TypedColumn[Any, Long]

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    Computes the number of NoData cells in a column.

  8. def aggStats(col: Column): TypedColumn[Any, CellStatistics]

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    Compute the full column aggregate floating point statistics.

  9. def arrayToTile(arrayCol: Column, cols: Int, rows: Int): Column

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    Annotations
    @Experimental()
  10. final def asInstanceOf[T0]: T0

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  11. def assembleTile(columnIndex: Column, rowIndex: Column, cellData: Column, cols: Int, rows: Int, ct: CellType): TypedColumn[Any, Tile]

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    Create a Tile from a column of cell data with location indexes.

    Create a Tile from a column of cell data with location indexes.

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    @Experimental()
  12. def cellType(col: Column): TypedColumn[Any, String]

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    Extract the Tile's cell type

  13. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  14. def convertCellType(col: Column, cellTypeName: String): TypedColumn[Any, Tile]

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    Change the Tile's cell type

  15. def convertCellType(col: Column, cellType: CellType): TypedColumn[Any, Tile]

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    Change the Tile's cell type

  16. def dataCells(tile: Column): TypedColumn[Any, Long]

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    Counts the number of non-NoData cells per Tile.

  17. def envelope(col: Column): TypedColumn[Any, Envelope]

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    Extracts the bounding box of a geometry as a JTS envelope.

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

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  19. def equals(arg0: Any): Boolean

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  20. def explodeTileSample(sampleFraction: Double, cols: Column*): Column

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    Create a row for each cell in Tile with random sampling.

  21. def explodeTiles(cols: Column*): Column

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    Create a row for each cell in Tile.

  22. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  23. final def getClass(): Class[_]

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  24. def hashCode(): Int

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  25. def inverseMask(sourceTile: Column, maskTile: Column): TypedColumn[Any, Tile]

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    Where the mask tile DOES NOT contain NODATA, replace values in the source tile with NODATA

  26. final def isInstanceOf[T0]: Boolean

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  27. def localAdd(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise addition between two Tiles.

  28. def localAddScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise addition of a scalar to a tile.

  29. def localAggDataCells(col: Column): TypedColumn[Any, Tile]

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    Compute the cellwise/local count of non-NoData cells for all Tiles in a column.

  30. def localAggMax(col: Column): TypedColumn[Any, Tile]

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    Compute the cell-wise/local max operation between Tiles in a column.

  31. def localAggMean(col: Column): TypedColumn[Any, Tile]

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    Compute the cellwise/local mean operation between Tiles in a column.

  32. def localAggMin(col: Column): TypedColumn[Any, Tile]

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    Compute the cellwise/local min operation between Tiles in a column.

  33. def localAggNoDataCells(col: Column): TypedColumn[Any, Tile]

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    Compute the cellwise/local count of NoData cells for all Tiles in a column.

  34. def localAggStats(col: Column): Column

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    Compute cell-local aggregate descriptive statistics for a column of Tiles.

  35. def localAlgebra(op: LocalTileBinaryOp, left: Column, right: Column): TypedColumn[Any, Tile]

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    Perform an arbitrary GeoTrellis LocalTileBinaryOp between two Tile columns.

  36. def localDivide(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise division between two Tiles.

  37. def localDivideScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise division of a tile by a scalar.

  38. def localEqual(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise equal to value comparison between two tiles.

  39. def localEqualScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise equal to value comparison between a tile and a scalar.

  40. def localGreater(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise greater than value comparison between two tiles.

  41. def localGreaterEqual(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise greater than or equal to value comparison between two tiles.

  42. def localGreaterEqualScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise greater than or equal to value comparison between a tile and a scalar.

  43. def localGreaterScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise greater than value comparison between a tile and a scalar.

  44. def localLess(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise less than value comparison between two tiles.

  45. def localLessEqual(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise less than or equal to value comparison between a tile and a scalar.

  46. def localLessEqualScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise less than or equal to value comparison between a tile and a scalar.

  47. def localLessScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise less than value comparison between a tile and a scalar.

  48. def localMultiply(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise multiplication between two Tiles.

  49. def localMultiplyScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise multiplication of a tile by a scalar.

  50. def localSubtract(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise subtraction between two Tiles.

  51. def localSubtractScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise subtraction of a scalar from a tile.

  52. def localUnequal(left: Column, right: Column): TypedColumn[Any, Tile]

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    Cellwise inequality comparison between two tiles.

  53. def localUnequalScalar[T](tileCol: Column, value: T)(implicit arg0: Numeric[T]): TypedColumn[Any, Tile]

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    Cellwise inequality comparison between a tile and a scalar.

  54. def makeConstantTile(value: Number, cols: Int, rows: Int, cellType: String): TypedColumn[Any, Tile]

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    Constructor for constant tile column

  55. def mask(sourceTile: Column, maskTile: Column): TypedColumn[Any, Tile]

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    Where the mask tile contains NODATA, replace values in the source tile with NODATA

  56. def maskByValue(sourceTile: Column, maskTile: Column, maskValue: Column): TypedColumn[Any, Tile]

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    Where the mask tile equals the mask value, replace values in the source tile with NODATA

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

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  58. def noDataCells(tile: Column): TypedColumn[Any, Long]

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    Counts the number of NoData cells per Tile.

  59. def normalizedDifference(left: Column, right: Column): TypedColumn[Any, Tile]

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    Compute the normalized difference of two tile columns

  60. final def notify(): Unit

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  61. final def notifyAll(): Unit

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  62. def rasterize(geometry: Column, bounds: Column, value: Column, cols: Int, rows: Int): TypedColumn[Any, Tile]

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    Create a tile where cells in the grid defined by cols, rows, and bounds are filled with the given value.

  63. def renderAscii(col: Column): TypedColumn[Any, String]

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    Render Tile as ASCII string for debugging purposes.

    Render Tile as ASCII string for debugging purposes.

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    @Experimental()
  64. def reprojectGeometry(sourceGeom: Column, srcCRS: CRS, dstCRS: CRS): TypedColumn[Any, Geometry]

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    Reproject a column of geometry from one CRS to another.

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

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  66. def tileDimensions(col: Column): Column

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    Query the number of (cols, rows) in a Tile.

  67. def tileHistogram(col: Column): TypedColumn[Any, CellHistogram]

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    Compute TileHistogram of Tile values.

  68. def tileMax(col: Column): TypedColumn[Any, Double]

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    Compute the maximum cell value in tile.

  69. def tileMean(col: Column): TypedColumn[Any, Double]

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    Compute the Tile-wise mean

  70. def tileMin(col: Column): TypedColumn[Any, Double]

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    Compute the minimum cell value in tile.

  71. def tileOnes(cols: Int, rows: Int, cellType: String = "float64"): TypedColumn[Any, Tile]

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    Alias for column of constant tiles of one

  72. def tileStats(col: Column): TypedColumn[Any, CellStatistics]

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    Compute statistics of Tile values.

  73. def tileSum(col: Column): TypedColumn[Any, Double]

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    Compute the Tile-wise sum

  74. def tileToArray[T](col: Column)(implicit arg0: HasCellType[T], arg1: scala.reflect.api.JavaUniverse.TypeTag[T]): TypedColumn[Any, Array[T]]

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    Flattens Tile into an array.

    Flattens Tile into an array. A numeric type parameter is required.

    Annotations
    @Experimental()
  75. def tileZeros(cols: Int, rows: Int, cellType: String = "float64"): TypedColumn[Any, Tile]

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    Alias for column of constant tiles of zero

  76. def toString(): String

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  77. final def wait(): Unit

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

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

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  80. def withNoData(col: Column, nodata: Double): TypedColumn[Any, Tile]

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    Assign a NoData value to the Tiles.

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