Hotspot Pattern Distribution in Peat Land Area in Sumatera Based on Spatio Temporal Clustering

Abstract

This research applied statistical approach to recognize the distribution pattern of hotspot clusters in spatial and temporal dimension using Kulldorff's Scan Statistic (KSS) method. We analyzed hotspot data in peat land area in Sumatera from 2001 to 2014. The result shows that provinces with the highest hotspot occurrence cluster are Riau and South Sumatera province. Clusters distribution of hotspot in the period of 2001-2006 are mostly found in ‘Hemic (100) moderate’ and ‘Hemic/Sapric (60/40) deep’ peat land maturity of level. During the period of 2007-2014, the distribution of clusters are mostly found in ‘Hemic/Sapric (60/40), deep’ and Hemic/Sapric (60/40), very deep’. Whereas, in term of the peat land thickness, there was a shift in the distribution of hotspots and the use of peat land area from the ‘moderate’ and ‘very deep’ depth in 2001 until 2006 into ‘deep’ and ‘very deep’ peat land types in 2007 until 2014. Based on the decomposition level of peat, hotspot clusters are mostly found in ‘hemic’ peat land maturity level and land use type of ‘swamp forest’.