Elaboradar  0.1
 Tutto Classi Namespace File Funzioni Variabili Tipi enumerati (enum) Gruppi
Elenco dei tipi composti
Queste sono le classi, le struct, le union e le interfacce con una loro breve descrizione:
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oNelaboradarName space generale del programma
|oCAssetsFinds resources, like data files, used by the program
|oCCUM_BACClasse principale del programma
|oCCalcoloVPRStruttara per il calcolo del VPR
|oCSingleCartStruttura per gestire output cartesiano di un singolo campo
|oCSiteRadar site information
|oCSiteGATStruttura Site custom per GAT
|\CSiteSPCStruttura Site custom per SPC
\NradarelabString functions
 oNalgo
 |oNazimuthresample
 ||oCAzimuthIndexClasse to manage Index beam positions by azimuth angles
 ||\CLevelwiseResamplerResample a volume one level at a time
 |oCCleanerStruttura per cleaner dati grezzi sulla base dei valori di V, W e la deviazione standard di Z
 |\CDBZClass to manage reflectivity functions (simply attenuation correction, conversion between Z, dBZ, R)
 oNutils
 |oNstr
 ||\CSplitSplit a string where a given substring is found
 |oNsys
 ||oCMMapWraps a mmapped memory area, unmapping it on destruction
 ||oCFileDescriptorCommon operations on file descriptors
 ||oCNamedFileDescriptorFile descriptor with a name
 ||oCManagedNamedFileDescriptorFile descriptor that gets automatically closed in the object destructor
 ||oCPathWrap a path on the file system opened with O_PATH
 |||\CiteratorIterator for directory entries
 ||oCFileFile in the file system
 ||\CDirectoryNicely wrap access to directories
 |\Ntests
 | oCLocationInfoAdd information to the test backtrace for the tests run in the current scope
 | oCTestStackFrameInformation about one stack frame in the test execution stack
 | oCTestFailedException thrown when a test assertion fails, normally by Location::fail_test
 | oCTestSkippedException thrown when a test or a test case needs to be skipped
 | oCTestMethodResultResult of running a test method
 | oCTestCaseResultResult of running a whole test case
 | oCTestControllerAbstract interface for the objects that supervise test execution
 | oCSimpleTestControllerSimple default implementation of TestController
 | oCTestRegistryTest registry
 | oCTestMethodTest method information
 | oCTestCaseTest case collecting several test methods, and self-registering with the singleton instance of TestRegistry
 | oCFixtureBase class for test fixtures
 | \CFixtureTestCaseTest case that includes a fixture
 oNvolumeNamespace per volume dati
 |oCLoaderStruttura che contiene mappa per caricamento dati
 |oCODIMLoaderStruttura che eredita da Loader e definisce i metodi per accedere ai dati ODIM
 |oCLoadInfoLoadInfo structure - Contains generic volume information
 |oCScansSequence of PolarScans which can have a different beam count for each elevation
 |oCPROBGiven radar variables compute matrix of probability
 |oCMLpointsMLpoints Melting Layer Points matrix AzH
 |oCCONFCompute confidence vector of radar variables
 |oCHCA_ParkCompute HCA
 |oCMeltingLayerMeltingLayer Melting Layer Detection Algorithm MLDA Giangrande et al. 2008
 |\CclassifierCompute hydrometeor classification
 oCCoordinateMappingMapping of cartesian coordinates to raw azimuth angles and range distances
 oCIndexMappingMapping of cartesian coordinates to specific azimuth and range volume indices
 oCFullsizeIndexMappingIndex mapping where the pixel size corresponds to the radar cell size
 oCScaledIndexMappingIndex mapping with arbitrary pixel size
 oCCylindricalVolumeRadar volume mapped to cylindrical coordinates
 oCMatrix2DBase for all matrices we use, since we rely on row-major data
 oCFileOpen a file taking its name from a given env variable
 oCPolarScanBaseBasic structure to describe a polar scan, independently of the type of its samples
 oCPolarScanPolarScan - structure to describe a polarScan containing a matrix of data and conversion factors
 oCVolumeHomogeneous volume with a common beam count for all PolarScans
 \CStatisticGeneric Class to perform statistical analysis Statistic object could be used as accumulator of data and performs statistical computations such as mean, variance, standard deviation, linear fit