Uses of Interface
ucar.nc2.ProxyReader

Packages that use ProxyReader
ucar.nc2 The public API to the Java-NetCDF library. 
ucar.nc2.dataset An extension to the netCDF API which provides support for coordinate systems, scale/offset/missing data, and NcML. 
ucar.nc2.ncml Netcdf Markup Language (NcML) Implementation classes see NcML home page 
 

Uses of ProxyReader in ucar.nc2
 

Fields in ucar.nc2 declared as ProxyReader
protected  ProxyReader Variable.postReader
           
protected  ProxyReader Variable.preReader
           
 

Uses of ProxyReader in ucar.nc2.dataset
 

Methods in ucar.nc2.dataset that return ProxyReader
 ProxyReader VariableEnhanced.getProxyReader()
           
 ProxyReader VariableDS.getProxyReader()
          Get the proxy reader, or null.
 ProxyReader StructureDS.getProxyReader()
          Get the proxy reader, or null.
 

Methods in ucar.nc2.dataset with parameters of type ProxyReader
 void VariableEnhanced.setProxyReader(ProxyReader proxyReader)
           
 void VariableDS.setProxyReader(ProxyReader proxyReader)
          Set the proxy reader.
 void StructureDS.setProxyReader(ProxyReader proxyReader)
          Set the proxy reader.
 

Uses of ProxyReader in ucar.nc2.ncml
 

Classes in ucar.nc2.ncml that implement ProxyReader
 class Aggregation
          Superclass for NcML Aggregation.
protected  class Aggregation.DatasetProxyReader
           
 class AggregationExisting
          JoinExisting Aggregation.
 class AggregationFmrc
          Implement NcML Forecast Model Run Collection Aggregation with files that are complete runs (have all forecast times in the same file)
 class AggregationFmrcSingle
          Implement NcML Forecast Model Run Collection Aggregation with files that contain a single forecast time.
 class AggregationNew
          JoinNew Aggregation.
 class AggregationOuterDimension
          Superclass for Aggregations on the outer dimension: joinNew, joinExisting, Fmrc, FmrcSingle
 class AggregationTiled
          Tiled Aggregation.
 class AggregationUnion
          Aggregation on datasets to be simply combined - aka "union".