geotrellis

RasterData

trait RasterData extends AnyRef

RasterData provides access and update to the grid data of a raster.

Designed to be a near drop-in replacement for Array in many cases.

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Abstract Value Members

  1. abstract def alloc(cols: Int, rows: Int): MutableRasterData

  2. abstract def asArray: Option[ArrayRasterData]

    Return the current RasterData as an array.

  3. abstract def cols: Int

  4. abstract def combine(other: RasterData)(f: (Int, Int) ⇒ Int): RasterData

    Combine two RasterData's cells into new cells using the given integer function.

    Combine two RasterData's cells into new cells using the given integer function. For every (x,y) cell coordinate, get each RasterData's integer value, map them to a new value, and assign it to the output's (x,y) cell.

  5. abstract def combineDouble(other: RasterData)(f: (Double, Double) ⇒ Double): RasterData

    Combine two RasterData's cells into new cells using the given double function.

    Combine two RasterData's cells into new cells using the given double function. For every (x,y) cell coordinate, get each RasterData's double value, map them to a new value, and assign it to the output's (x,y) cell.

  6. abstract def convert(typ: RasterType): RasterData

  7. abstract def copy: RasterData

  8. abstract def force: Option[StrictRasterData]

    Return the current RasterData values as a strict (calculated) ArrayRasterData.

    Return the current RasterData values as a strict (calculated) ArrayRasterData.

    If your RasterData cannot be represented as an array, bad things will happen. If your RasterData is lazy, any deferred calculations will be executed.

  9. abstract def foreach(f: (Int) ⇒ Unit): Unit

    For every cell in the given raster, run the given integer function.

    For every cell in the given raster, run the given integer function.

    The order of the traversal from the lowest to highest columns, across each row, but this should probably not be relied upon. In the future we'd like to be able to parallelize foreach.

  10. abstract def foreachDouble(f: (Double) ⇒ Unit): Unit

    For every cell in the given raster, run the given double function.

    For every cell in the given raster, run the given double function.

    The order of the traversal from the lowest to highest columns, across each row, but this should probably not be relied upon. In the future we'd like to be able to parallelize foreach.

  11. abstract def get(x: Int, y: Int): Int

    Get a particular (x, y) cell's integer value.

  12. abstract def getDouble(x: Int, y: Int): Double

    Get a particular (x, y) cell's double value.

  13. abstract def getType: RasterType

  14. abstract def length: Int

  15. abstract def lengthLong: Long

  16. abstract def map(f: (Int) ⇒ Int): RasterData

    Map each cell in the given raster to a new one, using the given function.

  17. abstract def mapDouble(f: (Double) ⇒ Double): RasterData

    Map each cell in the given raster to a new one, using the given function.

  18. abstract def mapIfSet(f: (Int) ⇒ Int): RasterData

    Similar to map, except that this method passes through "nodata" cells without calling the provided function.

  19. abstract def mapIfSetDouble(f: (Double) ⇒ Double): RasterData

    Similar to map, except that this method passes through "nodata" cells without calling the provided function.

  20. abstract def mutable: Option[MutableRasterData]

    Return a mutable version of the current raster.

  21. abstract def rows: Int

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