Packages

c

geotrellis.spark.mapalgebra.local.temporal.Implicits

withLocalTemporalTileRDDMethods

implicit class withLocalTemporalTileRDDMethods[K] extends LocalTemporalTileRDDMethods[K]

Linear Supertypes
LocalTemporalTileRDDMethods[K], MethodExtensions[RDD[(K, Tile)]], Serializable, Serializable, AnyRef, Any
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Inherited
  1. withLocalTemporalTileRDDMethods
  2. LocalTemporalTileRDDMethods
  3. MethodExtensions
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new withLocalTemporalTileRDDMethods(self: RDD[(K, Tile)])(implicit arg0: ClassTag[K], arg1: SpatialComponent[K], arg2: TemporalComponent[K])

Value Members

  1. val self: RDD[(K, Tile)]
    Definition Classes
    LocalTemporalTileRDDMethods → MethodExtensions
  2. def temporalMax(windowSize: Int, unit: Int, start: ZonedDateTime, end: ZonedDateTime, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]
    Definition Classes
    LocalTemporalTileRDDMethods
  3. def temporalMean(windowSize: Int, unit: Int, start: ZonedDateTime, end: ZonedDateTime, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]
    Definition Classes
    LocalTemporalTileRDDMethods
  4. def temporalMin(windowSize: Int, unit: Int, start: ZonedDateTime, end: ZonedDateTime, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]
    Definition Classes
    LocalTemporalTileRDDMethods
  5. def temporalVariance(windowSize: Int, unit: Int, start: ZonedDateTime, end: ZonedDateTime, partitioner: Option[Partitioner] = None): RDD[(K, Tile)]
    Definition Classes
    LocalTemporalTileRDDMethods