Density Based Clustering of Hotspots in Peatland with Road and River as Physical Obstacles

Indonesia has the largest peatland area among tropical countries, covering about 21 milions ha, which spread mainly in Sumatera, Kalimantan, and Papua. Land and forest fires occur almost every year in peatland areas in Indonesia. One of indicators for forest and land fires is hotspot. The objective...

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Main Authors: Wijaya, Prima Trie (Author), Sitanggang, Imas Sukaesih (Author), Syaufina, Lailan (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2016-09-01.
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LEADER 02192 am a22003013u 4500
001 ijeecs4130_894
042 |a dc 
100 1 0 |a Wijaya, Prima Trie  |e author 
700 1 0 |a Sitanggang, Imas Sukaesih  |e author 
700 1 0 |a Syaufina, Lailan  |e author 
245 0 0 |a Density Based Clustering of Hotspots in Peatland with Road and River as Physical Obstacles 
260 |b Institute of Advanced Engineering and Science,   |c 2016-09-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4130 
520 |a Indonesia has the largest peatland area among tropical countries, covering about 21 milions ha, which spread mainly in Sumatera, Kalimantan, and Papua. Land and forest fires occur almost every year in peatland areas in Indonesia. One of indicators for forest and land fires is hotspot. The objective of this study is to group hotspots with road and river as obstacles using the CPO-WCC (Clustering in Presence of Obstacles with Computed number of Cells) algorithm. Clusters of hotspot data were analyzed based on peatland area distribution. This study also evaluates the results of clustering on peatlands in order to obtain the best clusters. Clustering using CPO-WCC algorithm produces three clusters of hotspot. The area of dense cluster is 10202.10 km2 with number of hotspots per km2 is 0.985. The higest number of hotspots occurrence is found in peatland with type of Hemists /Saprists (60/40) and depth greater than 400 cm. 
540 |a Copyright (c) 2016 Indonesian Journal of Electrical Engineering and Computer Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Computer Enginee 
690 |a Data mining 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 3, No 3: September 2016; 714-720 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v3.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4130/894 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4130/894  |z Get fulltext