Packages

t

geotrellis.spark.summary

StatsTileCollectionMethods

trait StatsTileCollectionMethods[K] extends MethodExtensions[Seq[(K, Tile)]]

Linear Supertypes
MethodExtensions[Seq[(K, Tile)]], Serializable, Serializable, AnyRef, Any
Known Subclasses
withStatsTileCollectionMethods
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Inherited
  1. StatsTileCollectionMethods
  2. MethodExtensions
  3. Serializable
  4. Serializable
  5. AnyRef
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Visibility
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Abstract Value Members

  1. abstract def self: Seq[(K, Tile)]
    Definition Classes
    MethodExtensions

Concrete Value Members

  1. def averageByKey(): Seq[(K, Tile)]
  2. def classBreaks(numBreaks: Int): Array[Int]
  3. def classBreaksDouble(numBreaks: Int): Array[Double]
  4. def classBreaksExactInt(numBreaks: Int): 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.

    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.

  5. def histogram(numBuckets: Int): Histogram[Double]
  6. def histogram(): Histogram[Double]
  7. def histogramExactInt: Histogram[Int]

    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.

  8. def minMax: (Int, Int)
  9. def minMaxDouble: (Double, Double)