TY - JOUR
T1 - Prediction of land cover changes in Penajam Paser Utara Regency using cellular automata and markov model
AU - Permatasari, R. J.
AU - Damayanti, A.
AU - Indra, T. L.
AU - Dimyati, M.
N1 - Funding Information:
The author would like to thank the KEMENRISTEK/BRIN research activities with the contact number NKB-51/UN2.RST/HKP.05.00/2020 and addendum NKB-2650/UN2.RST/HKP.05.00/2020, and the National Institute of Aviation and Space (LAPAN) for the cooperation with the team.
Publisher Copyright:
© 2021 IOP Conference Series: Earth and Environmental Science
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/8
Y1 - 2021/1/8
N2 - Development and economic growth in an area can cause land cover changes. Penajam Paser Utara Regency, as a new capital candidate, is also predicted to experience in land cover changes. Land cover changes that are not following the land's potential will cause environmental problems, so it is necessary to predict land cover changes by looking at patterns of land cover changes in the past and the factors that influence it. The purpose of this study is to analyze and predict the land cover change in Penajam Paser Utara Regency in 2031. The method used in this study is modeling using Cellular Automata - Markov. The driving factor of land cover change is used in making prediction models such as distance from the center of activity, distance from the road, distance from the river, elevation, and slope. The prediction land cover changes show that there has been an increase in plantation area and a decrease in forest area, while the development of the built-up area is not visible. The kappa test for predicted land cover showed perfect results. The resulting land cover model can be used to formulate land-use policies.
AB - Development and economic growth in an area can cause land cover changes. Penajam Paser Utara Regency, as a new capital candidate, is also predicted to experience in land cover changes. Land cover changes that are not following the land's potential will cause environmental problems, so it is necessary to predict land cover changes by looking at patterns of land cover changes in the past and the factors that influence it. The purpose of this study is to analyze and predict the land cover change in Penajam Paser Utara Regency in 2031. The method used in this study is modeling using Cellular Automata - Markov. The driving factor of land cover change is used in making prediction models such as distance from the center of activity, distance from the road, distance from the river, elevation, and slope. The prediction land cover changes show that there has been an increase in plantation area and a decrease in forest area, while the development of the built-up area is not visible. The kappa test for predicted land cover showed perfect results. The resulting land cover model can be used to formulate land-use policies.
UR - http://www.scopus.com/inward/record.url?scp=85100739473&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/623/1/012005
DO - 10.1088/1755-1315/623/1/012005
M3 - Conference article
AN - SCOPUS:85100739473
SN - 1755-1307
VL - 623
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012005
T2 - 2nd International Conference on Environment, Sustainability Issues, and Community Development, INCRID 2020
Y2 - 21 October 2020
ER -