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Analysis of the Influence of Cities/Regencies Existence Towards Land Cover Change in West Java Based on Geospatial Data
Naufal A.a, Deliar A.a, Virtriana R.a
a Department of Geodesy and Geomatics Engineering, Faculty of Earth Science and Technology, Institut Teknologi Bandung, 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]© 2020 IOP Publishing Ltd.As one of the province that borders DKI Jakarta, West Java has been named the most populous province in Indonesia. This has an impact on land cover change in the region. For example, a lot of land that was once a vegetation land, is now converted into built up land. From previous studies, changes in land cover are caused by several factors, one of which is the existence of cities/regencies in the West Java region itself. However, is yet known for certain that changes in land cover are influenced by only the closest city/regency or all cities/regencies. Therefore, an analysis of the influence of cities/regencies existence towards land cover change in West Java is needed based on geospatial data. One calculation method to determine the influence of cities/regencies existence towards land cover changes is Binary Logistic Regression (BLR). BLR is used to analyse binary phenomenon. This study shows that to determine land cover change at a point in the province of West Java it is sufficient to be seen not only from the influence of the closest city/regency, but also necessary to be seen from the influence of all cities/regencies.[/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,Geo-spatial data,Indonesia,Jakarta,Land cover,Land-cover change,West javas[/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][/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][/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]https://doi.org/10.1088/1755-1315/448/1/012108[/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]