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c

geotrellis.spark.summary.Implicits

withStatsMultibandTileRDDMethods

implicit class withStatsMultibandTileRDDMethods[K] extends StatsMultibandTileRDDMethods[K]

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  1. withStatsMultibandTileRDDMethods
  2. StatsMultibandTileRDDMethods
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Instance Constructors

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

Value Members

  1. def classBreaks(numBreaks: Int): Array[Array[Int]]
    Definition Classes
    StatsMultibandTileRDDMethods
  2. def classBreaksDouble(numBreaks: Int): Array[Array[Double]]
    Definition Classes
    StatsMultibandTileRDDMethods
  3. def classBreaksExactInt(numBreaks: Int): Array[Array[Int]]

    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.

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

    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
  5. def histogram(): Array[Histogram[Double]]

    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
  6. def histogramExactInt: Array[Histogram[Int]]

    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.

  7. implicit val keyClassTag: ClassTag[K]
  8. val self: RDD[(K, MultibandTile)]