Spatial Data Mining and Modeling for Visualisation of Rapid Urbanisation

Conclusions

Urbanisation and urban sprawl seems inevitable in Indian cities as long as the growth is coupled with lack of holistic approaches in governance. Sections of the society will continue to cope up with skewed economic growth while attempting to protect natural resources. Visualisation of urban dynamics based on data mining and modeling aid in capturing the information in an effective way. This would help in better planning for provision of basic amenities and also to adopt sustainable urban strategies. Orthogonal subspace projection mapped the impervious surface accurately evident from accuracy assessment. Forest fragmentation indices and the urban dynamics model show the change in type of land cover classes from vegetation to urban. Interior forest which was present in the city up to 54 % (in 1973) has come down to 28 % in 2006. Urban growth characterised by developed, infill, expansion and outlying types evidently illustrate the phenomenon of urbanising Greater Bangalore.

 

 

 

 

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