4.1.1 DATA Finding a representation of the original information D,. the raw information D the set of all supported datasets of a given visualization process In practice, data importing can imply translating between different data storage Formats Or resampling the data from the continuous to the discrete domain The data importing step should try to preserve as much of the available Input information as possible Make as few assumption as possible about what is important and what is not
4.1.1 IMPORTING DATA • Finding a representation of the original information • DI : the raw information • D : the set of all supported datasets of a given visualization process • In practice, data importing can imply translating between different data storage formats • Or resampling the data from the continuous to the discrete domain • The data importing step should try to preserve as much of the available input information as possible • Make as few assumption as possible about what is important and what is not Import : D D I →
4.1.1 DATA Finding a representation of the original information resampling the data from the continuous to the discrete domain E.G. Petroleum seismic data seismic reflection wave = digital sampling data
4.1.1 IMPORTING DATA • Finding a representation of the original information -- resampling the data from the continuous to the discrete domain E.G. Petroleum seismic data -- seismic reflection wave => digital sampling data