Land Use Change Modeling (With Special Reference to Bandung Region)

Author

Warlina, Lia

Author_Institution

Dept. of Urban & Regional Planning, Indonesian Comput. Univ. (UNIKOM), Bandung, Indonesia

fYear

2009

fDate

28-30 Dec. 2009

Firstpage

293

Lastpage

297

Abstract

CLUE-S is a tool that can predict future land use changes. CLUE-S had been successfully applied to simulate land use change in Bandung region. The dependent variable was land use which classified into seven classes (water, forest, others, built area, plantation, dry land, and rice field). The independent variables were social economical aspect, biophysical aspect, accessibility and climate. The result of the modeling showed that scenario 2 was more optimal than scenarios 1. In the end of simulation, scenario 2 showed that forest area was still 11 percent, and the area of rice field was 5 percent of the area.

Keywords

geographic information systems; geophysics computing; land use planning; Bandung region; CLUE-S; biophysical aspect; forest area; land use change modeling; social economical aspect; Analytical models; Computer science; Economic forecasting; Elasticity; Environmental economics; Humans; Land use planning; Logistics; Predictive models; Satellites; CLUE-S (Conversion of land use change and its effect at small regional extent); land use change; modeling; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental and Computer Science, 2009. ICECS '09. Second International Conference on

Conference_Location

Dubai

Print_ISBN

978-0-7695-3937-9

Electronic_ISBN

978-1-4244-5591-1

Type

conf

DOI

10.1109/ICECS.2009.78

Filename

5383506