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Packages that use Field | |
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visad | The core VisAD package, providing support for VisAD's Data & MathType hierarchy, as well as for VisAD Displays and remote collaboration. |
visad.bom | |
visad.cluster | |
visad.data | Provides for importing data to and exporting data from VisAD. |
visad.data.netcdf.out | Provides for exporting a VisAD data object to a netCDF dataset. |
visad.data.text | |
visad.formula | Provides an interface for automatically evaluating formulas based on user-defined operators and functions. |
visad.georef | Provides classes for geo-referencing. |
visad.math | |
visad.matrix | |
visad.meteorology | Provides classes that are useful in the field of meteorology. |
visad.python | |
visad.sounder | |
visad.util | Provides a collection of useful utilities, many of them GUI widgets, to aid in VisAD application design. |
Uses of Field in visad |
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Subinterfaces of Field in visad | |
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interface |
FlatFieldIface
FlatField is the VisAD class for finite samplings of functions whose range type and range coordinate systems are simple enough to allow efficient representation. |
interface |
RemoteField
RemoteField is the interface for Remote VisAD Field-s. |
interface |
RemoteFlatField
RemoteFlatField is the interface for Remote VisAD FlatField-s. |
Classes in visad that implement Field | |
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class |
FieldImpl
FieldImpl is the VisAD class for finite samplings of functions from R^n to a range type, where n>0. |
class |
FlatField
FlatField is the VisAD class for finite samplings of functions whose range type and range coordinate systems are simple enough to allow efficient representation. |
class |
ImageFlatField
ImageFlatField is a VisAD FlatField backed by a java.awt.image.BufferedImage object, instead of the usual float[][] or double[][] samples array. |
class |
RemoteFieldImpl
RemoteFieldImpl is the VisAD remote adapter for FieldImpl. |
class |
RemoteFlatFieldImpl
RemoteFlatFieldImpl is the VisAD remote adapter for FlatField. |
Methods in visad that return Field | |
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static Field |
FieldImpl.combine(Field[] fields)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields; if the range of fields[i] is a Tuple without a RangeCoordinateSystem, then each Tuple component of a range sample of fields[i] becomes a Tuple component of a range sample of the result - otherwise a range sample of fields[i] becomes a Tuple component of a range sample of the result; this assumes all elements of the fields array have the same domain dimension; use default sampling_mode (Data.NEAREST_NEIGHBOR) and default error_mode (Data.NO_ERRORS) |
static Field |
FieldImpl.combine(Field[] fields,
boolean flatten)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields. |
static Field |
FieldImpl.combine(Field[] fields,
int sampling_mode,
int error_mode)
resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields; if the range of fields[i] is a Tuple without a RangeCoordinateSystem, then each Tuple component of a range sample of fields[i] becomes a Tuple component of a range sample of the result - otherwise a range sample of fields[i] becomes a Tuple component of a range sample of the result; this assumes all elements of the fields array have the same domain dimension |
static Field |
FieldImpl.combine(Field[] fields,
int sampling_mode,
int error_mode,
boolean flatten)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields. |
static Field |
FieldImpl.combine(Field[] fields,
int sampling_mode,
int error_mode,
boolean flatten,
boolean copy)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields. |
Field |
RemoteFlatFieldImpl.convertToField()
convert this FlatField to a (non-Flat) FieldImpl |
Field |
FlatFieldIface.convertToField()
convert this FlatField to a (non-Flat) FieldImpl |
Field |
FlatField.convertToField()
convert this FlatField to a (non-Flat) FieldImpl |
Field |
RemoteFieldImpl.domainFactor(RealType factor)
factor Field domain into domains of two nested Fields |
Field |
FieldImpl.domainFactor(RealType factor)
Factors this instance into a (nested) field-of-fields. |
Field |
Field.domainFactor(RealType factor)
factor Field domain into domains of two nested Fields |
Field |
FieldImpl.domainFactor(RealType factor,
boolean copy)
Factors this instance into a (nested) field-of-fields. |
Field |
RemoteFieldImpl.domainMultiply()
combine domains of two outermost nested Fields into a single domain and Field |
Field |
FieldImpl.domainMultiply()
Combine domains of two outermost nested Fields into a single domain and Field. |
Field |
Field.domainMultiply()
combine domains of two outermost nested Fields into a single domain and Field |
Field |
FieldImpl.domainMultiply(CoordinateSystem resultCS)
Combine domains of two outermost nested Fields into a single domain and Field. |
Field |
RemoteFieldImpl.domainMultiply(int depth)
combine domains to depth, if possible |
Field |
FieldImpl.domainMultiply(int collapse_depth)
Combine domains of collapse_depth if possible. |
Field |
Field.domainMultiply(int depth)
combine domains to depth, if possible |
Field |
FieldImpl.domainMultiply(int collapse_depth,
CoordinateSystem resultCS)
Combine domains of collapse_depth if possible. |
Field |
RemoteFieldImpl.extract(int component)
|
Field |
FlatField.extract(int component)
extract field from this[].component; this is OK, when we get around to it |
Field |
FieldImpl.extract(int component)
extract field from this[].component |
Field |
Field.extract(int component)
assumes the range type of this is a Tuple and returns a Field with the same domain as this, but whose range samples consist of the specified Tuple component of the range samples of this; in shorthand, this[].component |
Field |
FlatField.extract(int component,
boolean copy)
extract field from this[].component; this is OK, when we get around to it |
Field |
FieldImpl.extract(MathType type)
extract Field from this.component using the MathType of one of the range componenets |
Field |
FieldImpl.extract(String name)
extract Field from this.component using the name of one of the range componenets |
Field |
RemoteFunctionImpl.resample(Set set)
|
Field |
FunctionImpl.resample(Set set)
Return a Field of Function values at the samples in set using default sampling_mode (WEIGHTED_AVERAGE) and error_mode (NO_ERRORS); This combines unit conversions, coordinate transforms, resampling and interpolation |
Field |
Function.resample(Set set)
Return a Field of Function values at the samples in set using default sampling_mode (WEIGHTED_AVERAGE) and error_mode (NO_ERRORS); This combines unit conversions, coordinate transforms, resampling and interpolation |
Field |
RemoteFunctionImpl.resample(Set set,
int sampling_mode,
int error_mode)
can decide whether to return the local FieldImpl returned by ((FunctionImpl) AdaptedData).resample, or whether to return a RemoteFunctionImpl adapted for that FieldImpl; the same is true for the methods: extract, binary, unary, evaluate and getSample (as long as their return value is an instanceof Field) |
abstract Field |
FunctionImpl.resample(Set set,
int sampling_mode,
int error_mode)
Resample range values of this Function to domain samples in set; return a Field (i.e., a finite sampling of a Function). |
Field |
Function.resample(Set set,
int sampling_mode,
int error_mode)
Resample range values of this Function to domain samples in set; return a Field (i.e., a finite sampling of a Function). |
Field |
FlatField.resample(Set set,
int sampling_mode,
int error_mode)
Resamples the range to domain samples of a given set. |
Field |
FieldImpl.resample(Set set,
int sampling_mode,
int error_mode)
Resample range values of this Field to domain samples in set either byt nearest neighbor or multi-linear interpolation. |
Field |
FlatField.resampleDouble(Set set,
int sampling_mode,
int error_mode)
Resamples the range to domain samples of a given double set. |
Field |
FieldImpl.resampleDouble(Set set,
int sampling_mode,
int error_mode)
Resample range values of this Field to domain samples in set either byt nearest neighbor or multi-linear interpolation. |
Methods in visad with parameters of type Field | |
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static Field |
FieldImpl.combine(Field[] fields)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields; if the range of fields[i] is a Tuple without a RangeCoordinateSystem, then each Tuple component of a range sample of fields[i] becomes a Tuple component of a range sample of the result - otherwise a range sample of fields[i] becomes a Tuple component of a range sample of the result; this assumes all elements of the fields array have the same domain dimension; use default sampling_mode (Data.NEAREST_NEIGHBOR) and default error_mode (Data.NO_ERRORS) |
static Field |
FieldImpl.combine(Field[] fields,
boolean flatten)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields. |
static Field |
FieldImpl.combine(Field[] fields,
int sampling_mode,
int error_mode)
resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields; if the range of fields[i] is a Tuple without a RangeCoordinateSystem, then each Tuple component of a range sample of fields[i] becomes a Tuple component of a range sample of the result - otherwise a range sample of fields[i] becomes a Tuple component of a range sample of the result; this assumes all elements of the fields array have the same domain dimension |
static Field |
FieldImpl.combine(Field[] fields,
int sampling_mode,
int error_mode,
boolean flatten)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields. |
static Field |
FieldImpl.combine(Field[] fields,
int sampling_mode,
int error_mode,
boolean flatten,
boolean copy)
Resample all elements of the fields array to the domain set of fields[0], then return a Field whose range samples are Tuples merging the corresponding range samples from each element of fields. |
static EmpiricalCoordinateSystem |
EmpiricalCoordinateSystem.create(Field field)
Constructs an EmpiricalCoordinateSystem from a Field. |
static EmpiricalCoordinateSystem |
EmpiricalCoordinateSystem.inverseCreate(Field field)
Constructs an EmpiricalCoordinateSystem from a Field. |
Uses of Field in visad.bom |
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Constructors in visad.bom with parameters of type Field | |
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CutAndPasteFields(Field gs,
DisplayImplJ3D d)
|
|
CutAndPasteFields(Field gs,
DisplayImplJ3D d,
int b)
gs has MathType (t -> ((x, y) -> v)) or ((x, y) -> v) conditions on gs and display: 1. x and y mapped to XAxis, YAxis, ZAxis 2. |
|
GridEdit(Field gs,
DisplayImplJ3D d)
gs has MathType (t -> ((x, y) -> v)) or ((x, y) -> v) conditions on gs and display: 1. x and y mapped to XAxis, YAxis, ZAxis 2. |
Uses of Field in visad.cluster |
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Subinterfaces of Field in visad.cluster | |
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interface |
RemoteClientField
RemoteClientField is the interface for cluster client VisAD Field data objects that are not partitioned over nodes. |
interface |
RemoteClientPartitionedField
RemoteClientPartitionedField is the interface for cluster client VisAD Field data objects that are partitioned over nodes. |
interface |
RemoteNodeField
RemoteNodeField is the interface for cluster node VisAD Field data objects that are not paritioned. |
interface |
RemoteNodePartitionedField
RemoteNodePartitionedField is the interface for cluster node VisAD Field data objects that are paritioned. |
Classes in visad.cluster that implement Field | |
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class |
RemoteClientFieldImpl
RemoteClientFieldImpl is the class for cluster client VisAD Field data objects. |
class |
RemoteClientPartitionedFieldImpl
RemoteClientPartitionedFieldImpl is the class for cluster client VisAD Field data objects. |
class |
RemoteNodeFieldImpl
RemoteNodeFieldImpl is the class for cluster node VisAD Field data objects. |
class |
RemoteNodePartitionedFieldImpl
RemoteNodePartitionedFieldImpl is the class for cluster node VisAD Field data objects that are paritioned. |
Methods in visad.cluster that return Field | |
---|---|
Field |
RemoteNodePartitionedFieldImpl.domainFactor(RealType factor)
|
Field |
RemoteNodeFieldImpl.domainFactor(RealType factor)
|
Field |
RemoteClientPartitionedFieldImpl.domainFactor(RealType factor)
|
Field |
RemoteClientFieldImpl.domainFactor(RealType factor)
|
Field |
RemoteNodePartitionedFieldImpl.domainMultiply()
|
Field |
RemoteNodeFieldImpl.domainMultiply()
|
Field |
RemoteClientPartitionedFieldImpl.domainMultiply()
|
Field |
RemoteClientFieldImpl.domainMultiply()
|
Field |
RemoteNodePartitionedFieldImpl.domainMultiply(int depth)
|
Field |
RemoteNodeFieldImpl.domainMultiply(int depth)
|
Field |
RemoteClientPartitionedFieldImpl.domainMultiply(int depth)
|
Field |
RemoteClientFieldImpl.domainMultiply(int depth)
|
Field |
RemoteNodePartitionedFieldImpl.extract(int component)
|
Field |
RemoteNodeFieldImpl.extract(int component)
|
Field |
RemoteClientPartitionedFieldImpl.extract(int component)
|
Field |
RemoteClientFieldImpl.extract(int component)
|
Field |
RemoteNodePartitionedFieldImpl.resample(Set set)
|
Field |
RemoteNodeFieldImpl.resample(Set set)
|
Field |
RemoteClientPartitionedFieldImpl.resample(Set set)
|
Field |
RemoteClientFieldImpl.resample(Set set)
|
Field |
RemoteNodePartitionedFieldImpl.resample(Set set,
int sampling_mode,
int error_mode)
|
Field |
RemoteNodeFieldImpl.resample(Set set,
int sampling_mode,
int error_mode)
|
Field |
RemoteClientPartitionedFieldImpl.resample(Set set,
int sampling_mode,
int error_mode)
|
Field |
RemoteClientFieldImpl.resample(Set set,
int sampling_mode,
int error_mode)
|
Uses of Field in visad.data |
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Classes in visad.data that implement Field | |
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class |
AreaImageCacheAdapter
Adapts a FlatField backed by a AreaImageAccessor to work
with a FlatFieldCache . |
class |
CachedFlatField
This is a FloatField that caches to disk its float array. |
class |
FileField
|
class |
FileFlatField
|
Methods in visad.data that return Field | |
---|---|
Field |
FileFlatField.domainFactor(RealType factor)
|
Field |
AreaImageCacheAdapter.domainFactor(RealType factor)
|
Field |
FileFlatField.extract(int component)
|
Field |
AreaImageCacheAdapter.extract(int component)
|
Field |
FileFlatField.resample(Set set,
int sampling_mode,
int error_mode)
|
Field |
AreaImageCacheAdapter.resample(Set set,
int sampling_mode,
int error_mode)
|
Uses of Field in visad.data.netcdf.out |
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Methods in visad.data.netcdf.out with parameters of type Field | |
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protected void |
VisADAdapter.visit(Field field,
visad.data.netcdf.out.VisADAccessor outerAccessor)
Define the netCDF dimensions and variables of a VisAD Field object. |
Uses of Field in visad.data.text |
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Methods in visad.data.text that return Field | |
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Field |
TextAdapter.getData()
get the data |
Uses of Field in visad.formula |
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Methods in visad.formula that return Field | |
---|---|
static Field |
FormulaUtil.factor(FieldImpl f,
VRealType rt)
evaluate the domainFactor function |
Methods in visad.formula with parameters of type Field | |
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static Data |
FormulaUtil.brackets(Field f,
Real r)
evaluate the bracket function; e.g., A1[5] or A1[A2] |
static Data |
FormulaUtil.extract(Field f,
Real r)
evaluate the extract function |
Uses of Field in visad.georef |
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Subinterfaces of Field in visad.georef | |
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interface |
NavigatedField
A particular type of Field whose Domain Set contains values of Latitude and Longitude, or whose CoordinateSystem can transform to RealType.Latitude and RealType.Longitude |
Uses of Field in visad.math |
---|
Methods in visad.math with parameters of type Field | |
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static FlatField |
FFT.fourierTransform(Field field,
boolean forward)
return Fourier Transform of field, use FFT if domain dimension(s) are powers of 2 |
static FlatField |
FFT.fourierTransform(Field field,
boolean forward,
FunctionType ftype,
GriddedSet domain_set,
CoordinateSystem range_coord_sys,
Set[] range_sets,
Unit[] units)
return Fourier Transform of field, use FFT if domain dimension(s) are powers of 2 |
static FlatField |
Histogram.makeHistogram(Field field,
Set set)
return a histogram of field range values in "bins" defined by the samples of set |
Uses of Field in visad.matrix |
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Classes in visad.matrix that implement Field | |
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class |
JamaMatrix
JamaMatrix is a VisAD wrapper for JAMA matrices. |
Uses of Field in visad.meteorology |
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Subinterfaces of Field in visad.meteorology | |
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interface |
ImageSequence
Interface for representing a time sequence of single-banded images. |
interface |
SingleBandedImage
An interface for representing single--banded planar satellite or radar imagery. |
Classes in visad.meteorology that implement Field | |
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class |
ImageSequenceImpl
Implementation of an ImageSequence. |
class |
NavigatedImage
An implementation for representing single-banded planar satellite or radar imagery. |
class |
SatelliteImage
An implementation for representing single-banded planar satellite that has navigation. |
class |
SingleBandedImageImpl
An implementation for representing single-banded planar satellite or radar imagery. |
Uses of Field in visad.python |
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Methods in visad.python that return Field | |
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static Field |
JPythonMethods.combine(Field[] fields)
combines fields |
static Field |
JPythonMethods.domainFactor(Field data,
int comp)
Factors out the given domain component (by index) and creates a new data object. |
static Field |
JPythonMethods.domainFactor(Field data,
RealType factor)
Factors out the given MathType from the domain of the data object. |
static Field |
JPythonMethods.extract(Field data,
int comp)
Extracts a component of the Field |
static Field |
JPythonMethods.extract(Field data,
MathType t)
Extracts a component of the Field |
static Field |
JPythonMethods.extract(Field data,
String s)
Extracts a component of the Field |
static Field |
JPythonMethods.resample(Field data,
Set s)
resample the data field into the defined domain set |
static Field |
JPythonMethods.resample(Field data,
Set s,
int mode)
resample the data field into the defined domain set |
Methods in visad.python with parameters of type Field | |
---|---|
static Field |
JPythonMethods.combine(Field[] fields)
combines fields |
static Field |
JPythonMethods.domainFactor(Field data,
int comp)
Factors out the given domain component (by index) and creates a new data object. |
static Field |
JPythonMethods.domainFactor(Field data,
RealType factor)
Factors out the given MathType from the domain of the data object. |
static Data |
JPythonMethods.evaluate(Field data,
double domain)
|
static Data |
JPythonMethods.evaluate(Field data,
Real domain)
Creates a VisAD Data by evaluating the Field at the point given in the domain. |
static Field |
JPythonMethods.extract(Field data,
int comp)
Extracts a component of the Field |
static Field |
JPythonMethods.extract(Field data,
MathType t)
Extracts a component of the Field |
static Field |
JPythonMethods.extract(Field data,
String s)
Extracts a component of the Field |
static FlatField |
JPythonMethods.fft(Field field)
return forward Fourier transform of field , which should have
either a 1-D or 2-D gridded domain; uses FFT when domain size
is a power of two; returns real and imaginary parts |
static double[][] |
JPythonMethods.getValues(Field data)
returns the double values of the range |
static FlatField |
JPythonMethods.hist(Field field,
int[] ranges)
Return histogram of range values of field selected by ranges array, with dimension = ranges.length, and 64 equally spaced bins in each dimension |
static FlatField |
JPythonMethods.hist(Field field,
int[] ranges,
int[] sizes)
Return histogram of range values of field selected by ranges array, with dimension = ranges.length, and with number of equally spaced bins in each dimension determined by sizes array |
static FlatField |
JPythonMethods.hist(Field field,
Set set)
return histogram of range values of field selected by set, with dimension and bin sampling defined by set |
static FlatField |
JPythonMethods.ifft(Field field)
return backward Fourier transform of field, which should have either a 1-D or 2-D gridded domain; uses fft when domain size is a power of two; returns real and imaginary parts |
static Field |
JPythonMethods.resample(Field data,
Set s)
resample the data field into the defined domain set |
static Field |
JPythonMethods.resample(Field data,
Set s,
int mode)
resample the data field into the defined domain set |
static void |
JPythonMethods.setValues(Field f,
double[][] vals)
Sets the sample values into the Field |
Uses of Field in visad.sounder |
---|
Classes in visad.sounder that implement Field | |
---|---|
class |
Sounding
Sounding is the VisAD class for atmospheric soundings. |
class |
Spectrum
Sounding is the VisAD class for atmospheric soundings. |
Uses of Field in visad.util |
---|
Methods in visad.util that return Field | |
---|---|
static Field |
DataUtility.consolidate(Field[] fields)
Consolidates fields. |
static Field |
DataUtility.ensureRange(Field field,
MathType newRangeType)
Ensures that the range of a Field is a given type. |
Methods in visad.util with parameters of type Field | |
---|---|
static Field |
DataUtility.consolidate(Field[] fields)
Consolidates fields. |
static Field |
DataUtility.ensureRange(Field field,
MathType newRangeType)
Ensures that the range of a Field is a given type. |
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