geotrellis.statistics.Histogram

Abstract Value Members

abstract def copy: Histogram

Return a copy of this histogram.
abstract def countItem(item: Int, count: Int = 1): Unit

Note the occurance of 'item.
Note the occurance of 'item.
The optional parameter 'count' allows histograms to be built more efficiently. Negative counts can be used to remove a particular number of occurances of 'item'.
abstract def getItemCount(item: Int): Int

Return the number of occurances for 'item'.
abstract def getMaxValue: Int

Return the largest item seen.
abstract def getMinValue: Int

Return the smallest item seen.
abstract def getTotalCount: Int

Return the total number of occurances for all items.
abstract def getValues: Array[Int]
abstract def setItem(item: Int, count: Int): Unit
abstract def uncountItem(item: Int): Unit

Forget all occurances of 'item'.

Concrete Value Members

final def !=(arg0: AnyRef): Boolean

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final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: AnyRef): Boolean

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

Attributes
protected[lang]
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@throws()
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

Attributes
protected[lang]
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Annotations
@throws()
def foreach(f: (Int, Int) ⇒ Unit): Unit
def generateStatistics(): Statistics
final def getClass(): java.lang.Class[_]

Definition Classes
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def getEvenQuantiles(num: Int): Array[Double]

Return 'num' evenly spaced Doubles from 0.
Return 'num' evenly spaced Doubles from 0.0 to 1.0.
def getMinMaxValues: (Int, Int)

Return the smallest and largest items seen as a tuple.
def getQuantileBreaks(num: Int): Array[Int]
def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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def normalizeExtremeValues(num: Int, cutoff: Int): Histogram

This is a heuristic used by getQuantileBreaks, which mutates the histogram.
final def notify(): Unit

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final def notifyAll(): Unit

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def splitBreakIndices(b: Int, q: Int): Array[Int]

The basic idea here is to try to "evenly" split 'b' values across 'q' slots.
The basic idea here is to try to "evenly" split 'b' values across 'q' slots. The goal is to drop or duplicate values as evenly as possible. Here are some examples:
splitBreakIndices(1, 1) -> Array(0) splitBreakIndices(3, 5) -> Array(1,2,4) splitBreakIndices(4, 5) -> Array(0,1,3,4) splitBreakIndices(5, 5) -> Array(0,1,2,3,4) splitBreakIndices(7, 5) -> Array(0,1,1,2,3,3,4) splitBreakIndices(10,5) -> Array(0,0,1,1,2,2,3,3,4,4)
def splitBreaks(breaks: Array[Int], q: Int): Array[Int]

Take an existing array of class breaks (values that define the maximum for a particular class) and "stretch" them over a larger range.
Take an existing array of class breaks (values that define the maximum for a particular class) and "stretch" them over a larger range. The idea is that a user might want 6 classes, but only 4 could be created. In these cases we will streth the 4 breaks into 6 (with some breaks being unused) to better map onto a users' preferred colors.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
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def toJSON: String
def toString(): String

Definition Classes
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def update(other: Histogram): Unit
final def wait(): Unit

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

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@throws()
final def wait(arg0: Long): Unit

Definition Classes
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@throws()

Histogram

trait Histogram extends AnyRef

Abstract Value Members

abstract def copy: Histogram

abstract def countItem(item: Int, count: Int = 1): Unit

abstract def getItemCount(item: Int): Int

abstract def getMaxValue: Int

abstract def getMinValue: Int

abstract def getTotalCount: Int

abstract def getValues: Array[Int]

abstract def setItem(item: Int, count: Int): Unit

abstract def uncountItem(item: Int): Unit

Concrete Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def foreach(f: (Int, Int) ⇒ Unit): Unit

def generateStatistics(): Statistics

final def getClass(): java.lang.Class[_]

def getEvenQuantiles(num: Int): Array[Double]

def getMinMaxValues: (Int, Int)

def getQuantileBreaks(num: Int): Array[Int]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

def normalizeExtremeValues(num: Int, cutoff: Int): Histogram

final def notify(): Unit

final def notifyAll(): Unit

def splitBreakIndices(b: Int, q: Int): Array[Int]

def splitBreaks(breaks: Array[Int], q: Int): Array[Int]

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

def toJSON: String

def toString(): String

def update(other: Histogram): Unit

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any