Defining climate zone of Borneo based on cluster analysis

Although Borneo Island is one of the most vulnerable tropical regions to climate change, maps depicting local conditions employing classification are still not well defined. The present study attempted regional divide region into several homogenous groups based on long-term average behavior. Daily gridded rainfall and temperature (Tavg, Tmax, Tmin) data at 0.25° resolution spanning 56 years (1960–2016) was used. done using non-hierarchical k-mean hierarchical methods, namely, Single, Complete, McQuitty, Average, Centroid, Median, two algorithms Ward’s method, wardD, wardD2. results showed that k-mean, wardD2 were able classify four zones, namely ‘dry hot’ (DH), ‘wet (WH), ‘wet’ (W), cold’ (WC) with a considerable difference boundaries. Spatial relevancy, stability, variability clusters correlation compromise programming wardD method likely yield acceptable optimum 4-cluster partition area principal zones. constructed cluster plot, centroid probability distribution function (PDF) distinct climatic characteristic between zones in terms rainfall, temperature, seasonality. proposed zonation for can help better understanding regionality climate-related development planning.