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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 apply(frictionTile: Tile, points: Seq[(Int, Int)], maxCost: Double = Double.PositiveInfinity, resolution: Double = 1): DoubleArrayTile

   Generate a cost-distance raster based on a set of starting points and a friction raster.

   Generate a cost-distance raster based on a set of starting points and a friction raster. This is an implementation of the standard algorithm cited in the "previous work" section of [1].

   1. Tomlin, Dana. "Propagating radial waves of travel cost in a grid." International Journal of Geographical Information Science 24.9 (2010): 1391-1413.

   frictionTile

   Friction tile; pixels are interpreted as "second per meter"

   points

   List of starting points as tuples

   maxCost

   The maximum cost before pruning a path (in units of "seconds")

   resolution

   The resolution of the tiles (in units of "meters per pixel")

5.  final def asInstanceOf[T0]: T0

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6.  def clone(): AnyRef

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7.  def compute(frictionTile: Tile, costTile: DoubleArrayTile, maxCost: Double, resolution: Double, q: Q, edgeCallback: EdgeCallback): DoubleArrayTile

   Compute a cost tile.

   Compute a cost tile.

   frictionTile

   The friction tile

   costTile

   The tile that will contain the costs

   maxCost

   The maximum cost before pruning a path (in units of "seconds")

   resolution

   The resolution of the tiles (in units of "meters per pixel")

   q

   A priority queue of Cost objects (a.k.a. candidate paths)

   edgeCallback

   Called when a pixel on the edge of the tile is updated

8.  final def eq(arg0: AnyRef): Boolean

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9.  def equals(arg0: Any): Boolean

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10.  def finalize(): Unit

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11.  def generateEmptyCostTile(cols: Int, rows: Int): DoubleArrayTile

    Generate an empty double-valued array tile of the correct dimensions.

    Generate an empty double-valued array tile of the correct dimensions.

    cols

    The number of cols of the friction tile (and therefore the cost tile)

    rows

    The number of rows of the frition tile and cost tiles

12.  def generateEmptyQueue(cols: Int, rows: Int): Q

    Generate a Queue suitable for working with a tile of the given dimensions.

    Generate a Queue suitable for working with a tile of the given dimensions.

    cols

    The number of columns of the friction tile

    rows

    The number of rows of the friction tile

13.  final def getClass(): Class[_]

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14.  def hashCode(): Int

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15.  final def isInstanceOf[T0]: Boolean

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16.  final def ne(arg0: AnyRef): Boolean

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17.  def nop(cost: Cost): Unit

    NOP EdgeCallback

18.  final def notify(): Unit

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19.  final def notifyAll(): Unit

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

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21.  def toString(): String

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22.  final def wait(): Unit

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

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24.  final def wait(arg0: Long): Unit

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