| Resumen |
Nowadays, Geographical Information Systems (GIS) are powerful and useful tools as means of information, visualization and research or as decision making applications.1 Recently, intelligent spatial analysis is the main need presented in the Geocomputation trends. Spatial data have an important role in this situation; many times, the information is extended at different places. The problem is greater, because the spatial data present different formats and specifications such as scale, projection, spatial reference, representation type, thematic, DBMS type, and date. For these reasons, the heterogeneity of the spatial data complicates the spatial analysis. |
