t

geotrellis.spark.mapalgebra.local

MajorityTileRDDMethods

trait MajorityTileRDDMethods[K] extends TileRDDMethods[K]

Linear Supertypes
TileRDDMethods[K], MethodExtensions[RDD[(K, Tile)]], Serializable, Serializable, AnyRef, Any
Known Subclasses
withLocalTileRDDMethods, LocalTileRDDMethods
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Inherited
  1. MajorityTileRDDMethods
  2. TileRDDMethods
  3. MethodExtensions
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. implicit abstract val keyClassTag: ClassTag[K]
    Definition Classes
    TileRDDMethods
  2. abstract def self: RDD[(K, Tile)]
    Definition Classes
    MethodExtensions

Concrete Value Members

  1. def localMajority(n: Int, rs: RDD[(K, Tile)]*): RDD[(K, Tile)]

    Assigns to each cell the value within the given rasters that is the nth most numerous.

  2. def localMajority(n: Int, others: Traversable[RDD[(K, Tile)]], partitioner: Option[Partitioner]): RDD[(K, Tile)]
  3. def localMajority(n: Int, others: Traversable[RDD[(K, Tile)]]): RDD[(K, Tile)]

    Assigns to each cell the value within the given rasters that is the nth most numerous.

  4. def localMajority(rs: RDD[(K, Tile)]*): RDD[(K, Tile)]

    Assigns to each cell the value within the given rasters that is the most numerous.

  5. def localMajority(others: Traversable[RDD[(K, Tile)]], partitioner: Option[Partitioner]): RDD[(K, Tile)]
  6. def localMajority(others: Traversable[RDD[(K, Tile)]]): RDD[(K, Tile)]

    Assigns to each cell the value within the given rasters that is the most numerous.