Packages

class DescriptiveStats extends Stat with Serializable

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Serializable, Serializable, Stat, AnyRef, Any
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  1. DescriptiveStats
  2. Serializable
  3. Serializable
  4. Stat
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DescriptiveStats(sft: SimpleFeatureType, properties: Seq[String])

Type Members

  1. type S = DescriptiveStats
    Definition Classes
    DescriptiveStats → Stat

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def +(that: DescriptiveStats): DescriptiveStats

    Combine two stats into a new stat

    Combine two stats into a new stat

    Definition Classes
    DescriptiveStats → Stat
  4. def +(other: Stat)(implicit d: DummyImplicit): Stat

    Non type-safe add - if stats are not the same type, will throw an exception

    Non type-safe add - if stats are not the same type, will throw an exception

    other

    the other stat to add

    Definition Classes
    Stat
  5. def +=(that: DescriptiveStats): Unit

    Add another stat to this stat.

    Add another stat to this stat. Avoids allocating another object.

    Definition Classes
    DescriptiveStats → Stat
  6. def +=(other: Stat)(implicit d: DummyImplicit): Unit

    Non type-safe add - if stats are not the same type, will throw an exception

    Non type-safe add - if stats are not the same type, will throw an exception

    other

    the other stat to add

    Definition Classes
    Stat
  7. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. def bounds: Array[(Double, Double)]
  10. def centralMoment2: Array[Double]
  11. def centralMoment3: Array[Double]
  12. def centralMoment4: Array[Double]
  13. def clear(): Unit

    Clears the stat to its original state when first initialized.

    Clears the stat to its original state when first initialized. Necessary method used by the StatIterator.

    Definition Classes
    DescriptiveStats → Stat
  14. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @IntrinsicCandidate()
  15. def coMoment2: Array[Double]
  16. def copyFrom(that: DescriptiveStats): Unit
  17. def count: Long
  18. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  20. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  21. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  22. def isEmpty: Boolean

    Necessary method used by the StatIterator.

    Necessary method used by the StatIterator. Indicates if the stat has any values or not

    returns

    true if stat contains values

    Definition Classes
    DescriptiveStats → Stat
  23. def isEquivalent(other: Stat): Boolean

    Compares the two stats for equivalence.

    Compares the two stats for equivalence. We don't use standard 'equals' as it gets messy with mutable state and hash codes

    other

    other stat to compare

    returns

    true if equals

    Definition Classes
    DescriptiveStats → Stat
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. def maximum: Array[Double]
  26. def mean: Array[Double]
  27. def minimum: Array[Double]
  28. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  29. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  30. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  31. def observe(sf: SimpleFeature): Unit

    Compute statistics based upon the given simple feature.

    Compute statistics based upon the given simple feature. This method will be called for every SimpleFeature a query returns.

    sf

    feature to evaluate

    Definition Classes
    DescriptiveStats → Stat
  32. def populationCorrelation: Array[Double]
  33. def populationCovariance: Array[Double]
  34. def populationExcessKurtosis: Array[Double]
  35. def populationKurtosis: Array[Double]
  36. def populationSkewness: Array[Double]
  37. def populationStandardDeviation: Array[Double]
  38. def populationVariance: Array[Double]
  39. val properties: Seq[String]
  40. def sampleCorrelation: Array[Double]
  41. def sampleCovariance: Array[Double]
  42. def sampleExcessKurtosis: Array[Double]
  43. def sampleKurtosis: Array[Double]
  44. def sampleSkewness: Array[Double]
  45. def sampleStandardDeviation: Array[Double]
  46. def sampleVariance: Array[Double]
  47. val sft: SimpleFeatureType

    The simple feature type that this stat operates on

    The simple feature type that this stat operates on

    Definition Classes
    DescriptiveStats → Stat
  48. def sum: Array[Double]
  49. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  50. def toJson: String

    Returns a JSON representation of the Stat

    Returns a JSON representation of the Stat

    returns

    stat as a json string

    Definition Classes
    Stat
  51. def toJsonObject: Map[String, Any]

    Returns a representation of the Stat to be serialized

    Returns a representation of the Stat to be serialized

    This function should return a representation (view) of the Stat to be serialized as JSON. Instances of Map can be used to represent JSON dictionaries or Seq for JSON arrays. A collection.SortedMap such as collection.immutable.ListMap is recommended if key order should be deterministic. Other types may be used but could require the creation and registration of custom serializers dependent on the JSON framework being utilized (currently Gson).

    returns

    stat as a json serializable object

    Definition Classes
    DescriptiveStats → Stat
  52. def toString(): String
    Definition Classes
    AnyRef → Any
  53. def unobserve(sf: SimpleFeature): Unit

    Tries to remove the given simple feature from the compiled statistics.

    Tries to remove the given simple feature from the compiled statistics. Note: may not be possible to un-observe a feature, in which case this method will have no effect.

    sf

    feature to un-evaluate

    Definition Classes
    DescriptiveStats → Stat
  54. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  55. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  56. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from Serializable

Inherited from Serializable

Inherited from Stat

Inherited from AnyRef

Inherited from Any

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