Full text: Proceedings, XXth congress (Part 6)

f 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B6. Istanbul 2004 
represented, once they have been aggregated they 
may not need any enlargement. 
Presented below is an example of the application of aggregation 
only applied to a block of a built-up area. 
Figure 7. 
7. CONCLUSIONS 
The compiling and implementation of dedicated routines has 
allowed the authors to intervene more effectively on the basis of 
original data to obtain generalized geographic data at different 
levels of detail as foreseen by the research project. The supports 
obtained were intentionally derived in order to obtain a map as 
general as possible. However, the necessity of operating on the 
data sets, choosing the sequence of operations and assigning 
parameters to meet specific needs, with identification of the 
final user and the objectives that the supports must reach, 
emerged clearly. Moreover, the need to submit both the entire 
process and the final products to rigorous quality control was 
strongly felt; this is due to the many results that can be obtained 
and the lack of specific reference points in the international 
scenario. [t was necessary to organize a process control system 
and a final verification in order to arrive at the necessary 
verification of the geographic datum through application of 
appropriate indices of goodness of the work performed. 
8. REFERENCES 
Ruas, A., 2001. Automatic Generalisation Project: Learning 
Process from Interactive Generalisation. OEEPE Official 
Publication N. 39 
Falchi U. et al., 2002. La derivazione cartografica in ambiente 
GIS della CTR. numerica della Regione Autonoma della 
Sardegna alla scala 1:50000. Atti della 5" Conferenza Nazionale 
ASITA. Perugia 2002, (2) pp. 775-780. 
ESRI, 2000. Map Generalization in GIS: Practical Solutions 
with Workstation ArcInfo Software. Technical Papers section 
of ArcOnline. http://arconline.esri.com/ 
Falchi U. et al., 2000. Trattamento della CTR numerica della 
Regione Sardegna per la organizzazione dei dati geografici nel 
SIT. Atti della 4^ Conferenza Nazionale ASITA, Genova 2000, 
(2) pp. 775-780. 
Peter B., Weibel R. 1999. Using vector and raster-based 
techniques in categorical map generalization, 3rd [CA 
Workshop on Progress in Automated Map Generalization, 
Ottawa 1999 
Miiller J. C. et al., 1995. GIS and Generalization: Methodology 
and Practice. Taylor & Francis, London 
  
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