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Driving-factors identification of land-cover change in west java using binary logistic regression based on geospatial data

IOP conference series. Earth and environmental science, 2020-06, Vol.500 (1), p.12003 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/500/1/012003

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  • Title:
    Driving-factors identification of land-cover change in west java using binary logistic regression based on geospatial data
  • Author: Pasaribu, Udjianna Sekteria ; Virtriana, Riantini ; Deliar, Albertus ; Sumarto, Irawan
  • Subjects: Central business districts ; Economic development ; Economic growth ; Environmental effects ; Land cover ; Land use ; Model accuracy ; Prediction models ; Regression analysis ; Regression models ; Spatial data
  • Is Part Of: IOP conference series. Earth and environmental science, 2020-06, Vol.500 (1), p.12003
  • Description: The Land is a fundamental factor in production activity. Accordingly, it is closely related to economic growth-which supports the living needs of human beings. In many cases, human activities related to land use are often uncontrollable, impacting many negative effects on the environment, both locally and globally. More broadly, these activities will lead to some changes in land cover and some other physical features such as climate. In order to understand the phenomenon of land cover changes, we approach them through modelling. To detect any changes in land cover in a region, it is necessary to identify the driving factors causing land-cover change. The relation between driving factors and response variables can be evaluated by using regression analysis techniques. In this case, land cover change is a dichotomous phenomenon, i.e., binary. Binary Logistic Regression (BLR) model is one of the regression analyses which can be used to describe the nature of dichotomy. From the results of this study, the driving factors causing land-cover change in West Java were found, those are: the distances to the central business districts in some certain areas such as Bandung City, Bekasi Regency, Bekasi City, Bogor Regency, Karawang Regency, and Sukabumi Regency; the distance to the the capital of the province; the distance to the main roads; the population numbers; and some physical features of the land such as slope, curvature, and height. This predictive model had an accuracy level of 49,79%, which equals to 1.827.217,44 ha area.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1755-1307
    EISSN: 1755-1315
    DOI: 10.1088/1755-1315/500/1/012003
  • Source: IOP Publishing Free Content
    IOPscience (Open Access)
    Alma/SFX Local Collection
    ProQuest Central
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