geotrellis.raster.mapalgebra.focal.FocalCalculation.scala Maven / Gradle / Ivy
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GeoTrellis is an open source geographic data processing engine for high performance applications.
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/*
* Copyright (c) 2014 Azavea.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package geotrellis.raster.mapalgebra.focal
import geotrellis.raster._
/**
* Declares that implementers have a result
*/
trait Resulting[T] {
def result: T
}
/**
* A calculation that a FocalStrategy uses to complete
* a focal operation.
*/
abstract class FocalCalculation[T](
val r: Tile, n: Neighborhood, analysisArea: Option[GridBounds])
extends Resulting[T]
{
val bounds: GridBounds = analysisArea.getOrElse(GridBounds(r))
def execute(): T
}
/**
* A focal calculation that uses the Cursor focal strategy.
*/
abstract class CursorCalculation[T](tile: Tile, n: Neighborhood, val analysisArea: Option[GridBounds])
extends FocalCalculation[T](tile, n, analysisArea)
{
def traversalStrategy = TraversalStrategy.DEFAULT
def execute(): T = {
val cursor = Cursor(tile, n, bounds)
CursorStrategy.execute(cursor, { () => calc(tile, cursor) }, bounds, traversalStrategy)
result
}
def calc(tile: Tile, cursor: Cursor): Unit
}
/**
* A focal calculation that uses the Cursor focal strategy.
*/
abstract class KernelCalculation[T](tile: Tile, kernel: Kernel, val analysisArea: Option[GridBounds])
extends FocalCalculation[T](tile, kernel, analysisArea)
{
// Benchmarking has declared ScanLineTraversalStrategy the unclear winner as a default (based on Convolve).
def traversalStrategy = ScanLineTraversalStrategy
def execute(): T = {
val cursor = new KernelCursor(tile, kernel, bounds)
CursorStrategy.execute(cursor, { () => calc(tile, cursor) }, bounds, traversalStrategy)
result
}
def calc(r: Tile, kernel: KernelCursor): Unit
}
/**
* A focal calculation that uses the Cellwise focal strategy
*/
abstract class CellwiseCalculation[T] (
r: Tile, n: Neighborhood, analysisArea: Option[GridBounds])
extends FocalCalculation[T](r, n, analysisArea)
{
def traversalStrategy: Option[TraversalStrategy] = None
def execute(): T = n match {
case s: Square =>
CellwiseStrategy.execute(r, s, this, bounds)
result
case _ => sys.error("Cannot use cellwise calculation with this traversal strategy.")
}
def add(r: Tile, x: Int, y: Int)
def remove(r: Tile, x: Int, y: Int)
def reset(): Unit
def setValue(x: Int, y: Int)
}
/*
* Mixin's that define common raster-result functionality
* for FocalCalculations.
* Access the resulting raster's array tile through the
* 'resultTile' member.
*/
/**
* Defines a focal calculation as returning
* a [[Tile]] with [[BitArrayTile]], and defines
* the [[Initialization]].init function for setting up the tile.
*/
trait BitArrayTileResult extends Resulting[Tile] { self: FocalCalculation[Tile] =>
/** [[BitArrayTile]] that will be returned by the focal calculation */
val cols: Int = bounds.width
val rows: Int = bounds.height
val resultTile: BitArrayTile = BitArrayTile.empty(cols, rows)
def result = resultTile
}
/**
* Defines a focal calculation as returning
* a [[Tile]] with [[ByteArrayTile]], and defines
* the [[Initialization]].init function for setting up the tile.
*/
trait ByteArrayTileResult extends Resulting[Tile] { self: FocalCalculation[Tile] =>
/** [[ByteArrayTile]] that will be returned by the focal calculation */
val cols: Int = bounds.width
val rows: Int = bounds.height
val resultTile: ByteArrayTile = ByteArrayTile.empty(cols, rows)
def result = resultTile
}
/**
* Defines a focal calculation as returning
* a [[Tile]] with [[ShortArrayTile]], and defines
* the [[Initialization]].init function for setting up the tile.
*/
trait ShortArrayTileResult extends Resulting[Tile] { self: FocalCalculation[Tile] =>
/** [[ShortArrayTile]] that will be returned by the focal calculation */
val cols: Int = bounds.width
val rows: Int = bounds.height
val resultTile: ShortArrayTile = ShortArrayTile(Array.ofDim[Short](cols * rows), cols, rows)
def result = resultTile
}
/**
* Defines a focal calculation as returning
* a [[Tile]] with [[IntArrayTile]], and defines
* the [[Initialization]].init function for setting up the tile.
*/
trait IntArrayTileResult extends Resulting[Tile] { self: FocalCalculation[Tile] =>
/** [[IntArrayTile]] that will be returned by the focal calculation */
val cols: Int = bounds.width
val rows: Int = bounds.height
val resultTile = IntArrayTile.empty(cols, rows)
def result = resultTile
}
/**
* Defines a focal calculation as returning
* a [[Tile]] with [[FloatArrayTile]], and defines
* the [[Initialization]].init function for setting up the tile.
*/
trait FloatArrayTileResult extends Resulting[Tile] { self: FocalCalculation[Tile] =>
/** [[FloatArrayTile]] that will be returned by the focal calculation */
val cols: Int = bounds.width
val rows: Int = bounds.height
val resultTile: FloatArrayTile = FloatArrayTile.empty(cols, rows)
def result = resultTile
}
/**
* Defines a focal calculation as returning
* a [[Tile]] with [[DoubleArrayTile]], and defines
* the [[Initialization]].init function for setting up the tile.
*/
trait DoubleArrayTileResult extends Resulting[Tile] { self: FocalCalculation[Tile] =>
/** [[DoubleArrayTile]] that will be returned by the focal calculation */
val cols: Int = bounds.width
val rows: Int = bounds.height
val resultTile = DoubleArrayTile.empty(cols, rows)
def result = resultTile
}
trait ArrayTileResult extends Resulting[Tile] { self: FocalCalculation[Tile] =>
def resultCellType: DataType with NoDataHandling = r.cellType
val cols: Int = bounds.width
val rows: Int = bounds.height
val resultTile: MutableArrayTile = ArrayTile.empty(resultCellType, cols, rows)
def result = resultTile
}
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