Class

geotrellis.spark.summary

StatsTileRDDMethods

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

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MethodExtensions[RDD[(K, Tile)]], Serializable, Serializable, AnyRef, Any
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  1. StatsTileRDDMethods
  2. MethodExtensions
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  4. Serializable
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Instance Constructors

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

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Abstract Value Members

  1. abstract def self: RDD[(K, Tile)]

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    Definition Classes
    MethodExtensions

Concrete Value Members

  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. final def asInstanceOf[T0]: T0

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  5. def averageByKey(partitioner: Option[Partitioner] = None): RDD[(K, Tile)]

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  6. def classBreaks(numBreaks: Int): Array[Int]

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  7. def classBreaksDouble(numBreaks: Int): Array[Double]

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  8. def classBreaksExactInt(numBreaks: Int): 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.

    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.

  9. def clone(): AnyRef

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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

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  14. def hashCode(): Int

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

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    Compute the histogram of an RDD of Tile objects.

    Compute the histogram of an RDD of Tile objects.

    numBuckets

    The number of buckets that the histogram should have

    fraction

    The fraction of Tile 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]

  16. def histogram(): Histogram[Double]

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    Compute the histogram of an RDD of Tile objects.

    Compute the histogram of an RDD of Tile objects.

    returns

    A Histogram[Double]

  17. def histogramExactInt: 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.

    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.

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  19. def minMax: (Int, Int)

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  20. def minMaxDouble: (Double, Double)

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

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  22. final def notify(): Unit

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  23. final def notifyAll(): Unit

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

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  25. def toString(): String

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  26. final def wait(): Unit

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

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

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

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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