Class SampleDimension.Builder

Object
Builder
Enclosing class:
SampleDimension

public static class SampleDimension.Builder extends Object
A mutable builder for creating an immutable Sample­Dimension. The following properties can be set:
  • An optional name for the Sample­Dimension.
  • A single optional category for the background value.
  • An arbitrary amount of qualitative categories.
  • An arbitrary amount of quantitative categories.
A qualitative category is a range of sample values associated to a label (not numbers). For example 0 = cloud, 1 = sea, 2 = land, etc. A quantitative category is a range of sample values associated to numbers with units of measurement. For example 10 = 1.0°C, 11 = 1.1°C, 12 = 1.2°C, etc. Those three kinds of category are created by the following methods: All other add­Qualitative(…) and add­Quantitative(…) methods are convenience methods delegating to above-cited methods. Qualitative and quantitative categories can be mixed in the same Sample­Dimension, provided that their ranges do not overlap. After properties have been set, the sample dimension is created by invoking build().
Since:
1.0

Defined in the sis-feature module

  • Constructor Details

    • Builder

      public Builder()
      Creates an initially empty builder for a sample dimension. Callers shall invoke at least one add­Foo(…) method before build().
  • Method Details

    • setName

      public SampleDimension.Builder setName(GenericName name)
      Sets an identification of the sample dimension. This is the value to be returned by Sample­Dimension​.get­Name(). If this method is invoked more than once, then the last specified name prevails (previous sample dimension names are discarded).
      Parameters:
      name - identification of the sample dimension.
      Returns:
      this, for method call chaining.
    • setName

      public SampleDimension.Builder setName(CharSequence name)
      Sets an identification of the sample dimension as a character sequence. This is a convenience method for creating a Generic­Name from the given characters.
      Parameters:
      name - identification of the sample dimension.
      Returns:
      this, for method call chaining.
    • setName

      public SampleDimension.Builder setName(int band)
      Sets an identification of the sample dimension as a band number. This method should be used only when no more descriptive name is available.
      Parameters:
      band - sequence identifier of the sample dimension to create.
      Returns:
      this, for method call chaining.
    • setBackground

      public SampleDimension.Builder setBackground(CharSequence name, Number sample)
      Adds a qualitative category and marks that category as the background value. This is the value to be returned by Sample­Dimension​.get­Background(). If this method is invoked more than once, then the last specified value prevails (previous values become ordinary qualitative categories).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "fill value" name.
      sample - the background value.
      Returns:
      this, for method call chaining.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, boolean sample)
      Adds a qualitative category for samples of the given boolean value. The true value is represented by 1 and the false value is represented by 0.
      Implementation note: this convenience method delegates to add­Qualitative(Char­Sequence, Number­Range).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      sample - the sample value as a boolean.
      Returns:
      this, for method call chaining.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, byte sample)
      Adds a qualitative category for samples of the given tiny (8 bits) integer value. The argument is treated as a signed integer (0x80 to 0x7f).
      Implementation note: this convenience method delegates to add­Qualitative(Char­Sequence, Number­Range).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      sample - the sample value as an integer.
      Returns:
      this, for method call chaining.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, short sample)
      Adds a qualitative category for samples of the given short (16 bits) integer value. The argument is treated as a signed integer (-32768 to 32767).
      Implementation note: this convenience method delegates to add­Qualitative(Char­Sequence, Number­Range).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      sample - the sample value as an integer.
      Returns:
      this, for method call chaining.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, int sample)
      Adds a qualitative category for samples of the given integer value. The argument is treated as a signed integer (-2147483648 to 2147483647).
      Implementation note: this convenience method delegates to add­Qualitative(Char­Sequence, Number­Range).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      sample - the sample value as an integer.
      Returns:
      this, for method call chaining.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, float sample)
      Adds a qualitative category for samples of the given floating-point value.
      Implementation note: this convenience method delegates to add­Qualitative(Char­Sequence, Number­Range).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      sample - the sample value as a real number or a NaN value.
      Returns:
      this, for method call chaining.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, double sample)
      Adds a qualitative category for samples of the given double precision floating-point value.
      Implementation note: this convenience method delegates to add­Qualitative(Char­Sequence, Number­Range).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      sample - the sample value as a real number or a NaN value.
      Returns:
      this, for method call chaining.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, Number minimum, Number maximum)
      Adds a qualitative category for samples in the given range of values.
      Implementation note: this convenience method delegates to add­Qualitative(Char­Sequence, Number­Range).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      minimum - the minimum sample value, inclusive.
      maximum - the maximum sample value, inclusive.
      Returns:
      this, for method call chaining.
      Throws:
      Illegal­Argument­Exception - if the range is empty.
    • addQualitative

      public SampleDimension.Builder addQualitative(CharSequence name, NumberRange<?> samples)
      Adds a qualitative category for all samples in the specified range of values. This is the most generic method for adding a qualitative category. All other add­Qualitative(name, …) methods are convenience methods delegating their work to this method.
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      samples - the minimum and maximum sample values in the category.
      Returns:
      this, for method call chaining.
      Throws:
      Illegal­Argument­Exception - if the given range is empty.
    • mapQualitative

      public SampleDimension.Builder mapQualitative(CharSequence name, Number sample, float converted)
      Adds a qualitative category for the given sample value mapped to the specified converted NaN value. The given converted value must be a NaN value (not necessarily the Float​.Na­N canonical value) and that value shall not have been used by another category.
      Implementation note: this convenience method delegates to map­Qualitative(Char­Sequence, Number­Range, float).
      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      sample - the sample value as a real or integer number.
      converted - the converted value to map to the given sample value. Float​.is­Na­N(converted) must be true.
      Returns:
      this, for method call chaining.
      Throws:
      Illegal­Argument­Exception - if converted is not a NaN value.
      Since:
      1.1
      See Also:
    • mapQualitative

      public SampleDimension.Builder mapQualitative(CharSequence name, NumberRange<?> samples, float converted)
      Adds a qualitative category for the given samples values mapped to the specified converted NaN value. The given converted value must be a NaN value (not necessarily the Float​.Na­N canonical value) and that value shall not have been used by another category.

      The add­Qualitative(…) methods select automatically a converted value. The map­Qualitative(…) methods are for the less common case where caller needs to control which converted NaN value is mapped to the samples values.

      Parameters:
      name - the category name as a String or International­String object, or null for a default "no data" name.
      samples - the minimum and maximum sample values in the category.
      converted - the converted value to map to the given sample values. Float​.is­Na­N(converted) must be true.
      Returns:
      this, for method call chaining.
      Throws:
      Illegal­Argument­Exception - if converted is not a NaN value.
      Since:
      1.1
      See Also:
    • addQuantitative

      public SampleDimension.Builder addQuantitative(CharSequence name, NumberRange<?> samples, NumberRange<?> converted)
      Constructs a quantitative category mapping samples to real values in the specified range. Sample values in the samples range will be mapped to real values in the converted range through a linear equation of the form:
      measure = sample × scale + offset
      where scale and offset coefficients are computed from the ranges supplied in arguments. The units of measurement will be taken from the converted range if it is an instance of Measurement­Range.

      Warning: this method is provided for convenience when the scale and offset factors are not explicitly specified. If those factor are available, then the other add­Quantitative(name, samples, …) methods are more reliable.

      Implementation note: this convenience method delegates to add­Quantitative(Char­Sequence, Number­Range, Math­Transform1D, Unit).
      Parameters:
      name - the category name as a String or International­String object.
      samples - the minimum and maximum sample values in the category. Element class is usually Integer, but Float and Double values are accepted as well.
      converted - the range of real values for this category, as an instance of Measurement­Range if those values are associated to an unit of measurement.
      Returns:
      this, for method call chaining.
      Throws:
      Class­Cast­Exception - if the range element class is not a Number subclass.
      Illegal­Argument­Exception - if the range is invalid.
    • addQuantitative

      public SampleDimension.Builder addQuantitative(CharSequence name, float minimum, float maximum, Unit<?> units)
      Adds a quantitative category for values ranging from minimum to maximum inclusive in the given units of measurement. The transfer function is set to identity.
      Implementation note: this convenience method delegates to add­Quantitative(Char­Sequence, Number­Range, Math­Transform1D, Unit).
      Parameters:
      name - the category name as a String or International­String object.
      minimum - the minimum value (inclusive) in the given units.
      maximum - the maximum value (inclusive) in the given units.
      units - the units of measurement.
      Returns:
      this, for method call chaining.
      Throws:
      Illegal­Argument­Exception - if a value is NaN or if minimum is greater than maximum.
    • addQuantitative

      public SampleDimension.Builder addQuantitative(CharSequence name, double minimum, double maximum, Unit<?> units)
      Adds a quantitative category for values ranging from minimum to maximum inclusive in the given units of measurement. The transfer function is set to identity.
      Implementation note: this convenience method delegates to add­Quantitative(Char­Sequence, Number­Range, Math­Transform1D, Unit).
      Parameters:
      name - the category name as a String or International­String object.
      minimum - the minimum value (inclusive) in the given units.
      maximum - the maximum value (inclusive) in the given units.
      units - the units of measurement.
      Returns:
      this, for method call chaining.
      Throws:
      Illegal­Argument­Exception - if a value is NaN or if minimum is greater than maximum.
    • addQuantitative

      public SampleDimension.Builder addQuantitative(CharSequence name, int lower, int upper, double scale, double offset, Unit<?> units)
      Adds a quantitative category for sample values ranging from lower inclusive to upper exclusive. Sample values are converted into real values using the following linear equation:
      measure = sample × scale + offset
      Results of above conversion are measurements in the units specified by the units argument.
      Implementation note: this convenience method delegates to add­Quantitative(Char­Sequence, Number­Range, Math­Transform1D, Unit).
      Parameters:
      name - the category name as a String or International­String object.
      lower - the lower sample value, inclusive.
      upper - the upper sample value, exclusive.
      scale - the scale value which is multiplied to sample values for the category. Must be different than zero.
      offset - the offset value to add to sample values for this category.
      units - the units of measurement of values after conversion by the scale factor and offset.
      Returns:
      this, for method call chaining.
      Throws:
      Illegal­Argument­Exception - if lower is not smaller than upper, or if scale or offset are not real numbers, or if scale is zero.
    • addQuantitative

      public SampleDimension.Builder addQuantitative(CharSequence name, NumberRange<?> samples, MathTransform1D toUnits, Unit<?> units)
      Constructs a quantitative category for all samples in the specified range of values. Sample values (usually integers) will be converted into real values (usually floating-point numbers) through the to­Units transform. Results of that conversion are measurements in the units specified by the units argument.

      This is the most generic method for adding a quantitative category. All other add­Quantitative(name, …) methods are convenience methods delegating their work to this method.

      Parameters:
      name - the category name as a String or International­String object.
      samples - the minimum and maximum sample values in the category. Element class is usually Integer, but Float and Double types are accepted as well.
      to­Units - the transfer function from sample values to real values in the specified units.
      units - the units of measurement of values after conversion by the transfer function.
      Returns:
      this, for method call chaining.
      Throws:
      Class­Cast­Exception - if the range element class is not a Number subclass.
      Illegal­Argument­Exception - if the range is invalid.
      See Also:
    • categories

      public List<Category> categories()
      Returns the list of categories added so far. The returned list does not support the add operation, but supports the remove operation.
      Returns:
      the current category list, read-only except for the remove operation.
    • build

      public SampleDimension build()
      Creates a new sample with the properties defined to this builder.
      Returns:
      the sample dimension.
      Throws:
      Illegal­Sample­Dimension­Exception - if there is overlapping ranges of sample values or other problems that prevent the construction of sample dimensions.
    • clear

      public void clear()
      Reset this builder to the same state than after construction. The sample dimension name, background values and all categories are discarded. This method can be invoked when the same builder is reused for creating more than one sample dimension.