c

geotrellis.spark.mapalgebra.local

LocalTileRDDSeqMethods

abstract class LocalTileRDDSeqMethods[K] extends MethodExtensions[Traversable[RDD[(K, Tile)]]]

Linear Supertypes
MethodExtensions[Traversable[RDD[(K, Tile)]]], Serializable, Serializable, AnyRef, Any
Known Subclasses
withLocalTileRDDSeqMethods
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. LocalTileRDDSeqMethods
  2. MethodExtensions
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LocalTileRDDSeqMethods()(implicit arg0: ClassTag[K])

Abstract Value Members

  1. abstract def self: Traversable[RDD[(K, Tile)]]
    Definition Classes
    MethodExtensions

Concrete Value Members

  1. def localAdd(partitioner: Option[Partitioner]): RDD[(K, Tile)]
  2. def localAdd: RDD[(K, Tile)]
  3. def localMajority(n: Int = 0, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]
  4. def localMax(partitioner: Option[Partitioner]): RDD[(K, Tile)]
  5. def localMax: RDD[(K, Tile)]
  6. def localMaxN(n: Int, partitioner: Option[Partitioner]): RDD[(K, Tile)]
  7. def localMaxN(n: Int): RDD[(K, Tile)]
  8. def localMean(partitioner: Option[Partitioner]): RDD[(K, Tile)]
  9. def localMean: RDD[(K, Tile)]

    Takes the mean of the values of each cell in the set of rasters.

  10. def localMin(partitioner: Option[Partitioner]): RDD[(K, Tile)]
  11. def localMin: RDD[(K, Tile)]
  12. def localMinN(n: Int, partitioner: Option[Partitioner]): RDD[(K, Tile)]
  13. def localMinN(n: Int): RDD[(K, Tile)]
  14. def localMinority(n: Int = 0, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]
  15. def localVariety(partitioner: Option[Partitioner]): RDD[(K, Tile)]
  16. def localVariety: RDD[(K, Tile)]

    Gives the count of unique values at each location in a set of Tiles.