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Spatial pattern of land cover changes in Bandung basin using cluster analysis
Sibagariang T.N.a, Deliar A.a, Virtriana R.a
a Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institute of Technology Bandung, Bandung City, West Java, 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 cover in the Bandung Basin had been changed from the year 2006 to the year 2011. Those changes are spread unevenly in the Bandung Basin. This paper’s problem is what kind of pattern that is formed by the distribution of land cover changes in Bandung Basin, whether it was clustered, randomly spread or even dispersed. This paper uses cluster analysis as an approach to solve that problem based on its spatial statistic. There are four methods of cluster analysis used to analyse the spatial pattern of that land cover changes. The test results from those methods show that the land cover changes has a clustered pattern. After the pattern is known, there are two others cluster analysis method that can be used to identify the cluster area that is formed by the land cover changes. As the result of those two tests, known that there are 18 clusters of land cover changes formed in Bandung Basin. Therefore, it can be concluded that the spatial pattern of land cover changes in the Bandung Basin using cluster analysis method is a clustered pattern, and there are 18 clusters of land cover changes spread in that basin.[/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]Cluster,Cluster analysis methods,Land cover,Land-cover change,Problem-based,Spatial patterns,Spatial statistics[/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]Cluster,Land cover changes,Spatial pattern[/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 Services (LPPM), Bandung Institute of Technology, which has provided research funding through Research Program, Research Group and Innovation ITB 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]