QGIS-GRASS berkesan untuk topology cleaning
Kajian mendapati QGIS-GRASS dapat menghasilkan keputusan memberansangkan apabila melibatkan topology cleaning. Komputer cap ayam yang lengkap dengan 2.5GHz dual-core processor dan 2GB RAM digunakan untuk import fail .tab daerah Petaling yang merangkumi 246,155 features ke format GRASS. Ini hanya mengambil masa 35 mins dan termasuk topology cleaning dapat mengenalpasti 14,124 overlaps. Dalam masa kurang dari 3 min., kesemua overlaps tidak lagi di rekod. Kajian lebih awal yang melibatkan fail vector daerah Johor Bahru dapat mengenalpasti 25,000+ gaps tetapi kesemua dibersihkan dalam masa lebih kurang 3 min.
Studies found that QGIS-GRASS produced impressive results that involved topology cleaning. A brabd X computer equipt with a 2.5GHz dual-core processor and 2GB RAM was used to import the Petaling District .tab file that contains 246,155 features into GRASS foramt. It only took 35 mins and included topoogy cleaning that identified 14,124 overlaps. In less than 3 mins, all the overlaps did not exist. Earlier studies involving the Johor Bahru vector file involving 25,000+ gaps was also cleansed in less than 3 mins.
QGIS-GRASS is effective for topology cleaning
Studies found that QGIS-GRASS produced impressive results that involved topology cleaning. A brabd X computer equipt with a 2.5GHz dual-core processor and 2GB RAM was used to import the Petaling District .tab file that contains 246,155 features into GRASS foramt. It only took 35 mins and included topoogy cleaning that identified 14,124 overlaps. In less than 3 mins, all the overlaps did not exist. Earlier studies involving the Johor Bahru vector file involving 25,000+ gaps was also cleansed in less than 3 mins.
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