Class

geotrellis.spark.summary.Implicits

withStatsMultibandTileRDDMethods

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implicit class withStatsMultibandTileRDDMethods[K] extends StatsMultibandTileRDDMethods[K]

Linear Supertypes
StatsMultibandTileRDDMethods[K], MethodExtensions[RDD[(K, MultibandTile)]], Serializable, Serializable, AnyRef, Any
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  1. withStatsMultibandTileRDDMethods
  2. StatsMultibandTileRDDMethods
  3. MethodExtensions
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Instance Constructors

  1. new withStatsMultibandTileRDDMethods(self: RDD[(K, MultibandTile)])(implicit keyClassTag: ClassTag[K])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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    Any
  5. def classBreaks(numBreaks: Int): Array[Array[Int]]

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    Definition Classes
    StatsMultibandTileRDDMethods
  6. def classBreaksDouble(numBreaks: Int): Array[Array[Double]]

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    Definition Classes
    StatsMultibandTileRDDMethods
  7. def classBreaksExactInt(numBreaks: Int): Array[Array[Int]]

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    Gives class breaks using a histogram that uses exact counts of integer values.

    Gives class breaks using a histogram that uses exact counts of integer values.

    Definition Classes
    StatsMultibandTileRDDMethods
    Note

    This cannot handle counts that are larger than Int.MaxValue, and should not be used with very large datasets whose counts will overflow. These histograms can get very large with a wide range of values.

  8. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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    Definition Classes
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  14. def histogram(numBuckets: Int, fraction: Double = 1.0, seed: Long = 33): Array[Histogram[Double]]

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    Compute the histogram of an RDD of MultibandTile objects.

    Compute the histogram of an RDD of MultibandTile objects.

    numBuckets

    The number of buckets that the histogram should have

    fraction

    The fraction of MultibandTile objects to sample (the default is 100%)

    seed

    The seed of the RNG which determines which tiles to take the histograms of

    returns

    A Histogram[Double]

    Definition Classes
    StatsMultibandTileRDDMethods
  15. def histogram(): Array[Histogram[Double]]

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    Compute the histogram of an RDD of MultibandTile objects.

    Compute the histogram of an RDD of MultibandTile objects.

    returns

    A Histogram[Double]

    Definition Classes
    StatsMultibandTileRDDMethods
  16. def histogramExactInt: Array[Histogram[Int]]

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    Gives a histogram that uses exact counts of integer values.

    Gives a histogram that uses exact counts of integer values.

    Definition Classes
    StatsMultibandTileRDDMethods
    Note

    This cannot handle counts that are larger than Int.MaxValue, and should not be used with very large datasets whose counts will overflow. These histograms can get very large with a wide range of values.

  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  18. implicit val keyClassTag: ClassTag[K]

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  19. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  20. final def notify(): Unit

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    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  22. val self: RDD[(K, MultibandTile)]

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

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    Definition Classes
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  24. def toString(): String

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  25. final def wait(): Unit

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    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

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  27. final def wait(arg0: Long): Unit

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Inherited from StatsMultibandTileRDDMethods[K]

Inherited from MethodExtensions[RDD[(K, MultibandTile)]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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