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Driving factor analysis of land cover change based on spatial planning zonation (case study: West Java Province)

Muzdalifah Q.R.a, Deliar A.a, Virtriana R.a

a Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung, Kota Bandung, Jawa Barat, 40132, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 Proceedings – 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018Land demands continue to increase while land supply is constant. These conditions will cause land cover change phenomenon. Land cover change is one of the important factors that affect global environmental change. The phenomenon of land cover change in a region is caused by certain factors and it depends on the characteristics of its region. This research aims to identify the driving factors of land cover change in each zonation of West Java Province spatial planning through spatial analysis process. The driving factors and land cover change phenomenon were modeled using binary logistic regression method through spatial analysis process using GIS. The analysis process was carried out on 7 different spatial planning zones, those are conservation area, wetland agriculture area, dryland agriculture area, industrial area, industrial zone, urban area, and metropolitan area. The result of this research explains that the driving factors of land cover change in each zonation of West Java Province spatial planning are different. However, in general, the driving factors of land cover change in each zonation of West Java Province spatial planning are distance to the main road, distance to the province capital, distance to Bandung Region central business district, and distance to Bekasi City central business district.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Binary logistic regression,Central business districts,Conservation areas,Dryland agriculture,Global environmental change,Land-cover change,Metropolitan area,Spatial planning[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Binary logistic regression,Land cover change,Spatial planning[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]The authors would like to thank the Institute for Research and Community Service (LPPM), Bandung Institute of Technology, which has provided research funding through Research Program, Community Service and Innovation (P3MI) 2018.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]