Large data sets and their study using Douglas-Peucker method

Technological progress in measurement automation in geodesy creates new interesting research problems. One of them is an existance of excessive observational data sets. That means the new technologies produce large data sets. such data stes may cause problems for users, since they create heavy processing load. Their uploading to suitable software and subsequent processing is very time consuming. Thus, there is a need to resample and reorganize the data sets before processing, in order to considerable reduce their amount without loosing essential information. In the article, Douglas-Peuckesr method was used to reduce the size of the data sets. The proposed algorithm was applied and tested on a fragment of the data set containing results of Świnoujście-Szczecin Channel bottom mesurements. Based on ststistical analysis presented in the paper, a set of parameters can also serve as an initial information for another study.