Hierarchical Clustering Pada Data Time Series Hotspot Provins! Riau

dc.contributor.author	Dinov, llham Alpha
dc.contributor.author	Sitanggang, lmas Sukaesih
dc.date.accessioned	2015-08-10T03:02:19Z
dc.date.available	2015-08-10T03:02:19Z
dc.date.issued	2014
dc.identifier.isbn	978-602·70491-0·9
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/75964
dc.description.abstract	Land and forest fires become yearly issues in Indonesia, particularly in Riau province. This work applied the hierarchical clustering method for hotspot time series data using average distance formula to analyze hotspots distribution in Riau province. This work focuses on the hotspots distribution in June, July and August for the period 2001-2012. Time series data decomposition was generated to obtain the hotspot occurrence patterns over the period. Hierarchical clustering on the data results 4 clusters at the height of dendrogram about 300. Most of hotspots in these clusters are located in plantation.	en
dc.language.iso	id
dc.publisher	Fakultas Matematika dan Ilmu Pengetahuan Alam Institut Pertanian Bogor
dc.title	Hierarchical Clustering Pada Data Time Series Hotspot Provins! Riau	en
dc.type	Article	en
dc.subject.keyword	time series data	en
dc.subject.keyword	forest fires	en
dc.subject.keyword	hotspot	en
dc.subject.keyword	hierarchical clustering	en