Model of land cover change with cellular automata, Mataram city, West Nusa Tenggara

1Citations
Citations of this article
30Readers
Mendeley users who have this article in their library.

Abstract

Along with the increase of population, the needs for space for agriculture, settlement, infrastructure, and industry are increasing. It affects the extent to the availability and sustaining human needs. The objectives of this research are: (1) to analyze land cover change in Mataram in 2008, 2013, and 2017, (2) to predict land cover in 2031 in Mataram using Cellular Automata spatial modeling. The Method used to predict land cover changes is by modeling Cellular Automata. Driving factors used in this research, are: slope, elevation, distance from roads, distance from the river, distance from shoreline, and distance from the central government. From 2008 to 2017 Mataram had a significant decrease of agricultural land area by (-)12,63% and the increase of the land and settlement building by 26,35%. The result of land cover prediction of 2031 shows agricultural area reduce by (-)15,18% and sharp increase in built and settlement area by 20,52%.

References Powered by Scopus

Modeling urban growth using a variable grid cellular automaton

134Citations
N/AReaders
Get full text

Incorporating spatial regression model into cellular automata for simulating land use change

89Citations
N/AReaders
Get full text

On the derivation of approximations to cellular automata models and the assumption of independence

9Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Spatial modeling for prediction agricultural land-use change in Jampang Kulon, Sukabumi Regency

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Putri, I. M. G., Supriatna, Koestoer, R. H., & Siwi, S. E. (2019). Model of land cover change with cellular automata, Mataram city, West Nusa Tenggara. In IOP Conference Series: Earth and Environmental Science (Vol. 311). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/311/1/012075

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

71%

Researcher 2

29%

Readers' Discipline

Tooltip

Environmental Science 6

46%

Earth and Planetary Sciences 4

31%

Social Sciences 2

15%

Materials Science 1

8%

Save time finding and organizing research with Mendeley

Sign up for free