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

尽管婆罗洲岛是最容易受到气候变化影响的热带地区之一，但使用气候分类描绘当地气候条件的地图仍然没有得到很好的定义。本研究尝试进行区域气候分类，根据长期平均气候行为将婆罗洲地区划分为几个同质组。使用了跨越 56 年（1960-2016）的 0.25° 分辨率的每日网格降雨和温度（Tavg、Tmax 和 Tmin）数据。分类是使用非分层k 均值和几种分层方法完成的，即Single、Complete、McQuitty、Average、Centroid、Median，以及 Ward 方法的两种算法，wardD和wardD2。结果表明，k-mean、wardD和wardD2能够将婆罗洲的气候分为四个区域，即“干热”（DH）、“湿热”（WH）、“湿”（W）、和“湿冷”（WC）在边界上有相当大的差异。基于相关性和折衷编程的集群的空间相关性、稳定性和可变性表明，病房 D方法是最有可能产生可接受的结果的最佳 4 集群将区域划分为四个主要气候带。构建的聚类图、质心图和概率分布函数 (PDF) 显示了气候带之间在降雨量、温度和季节性方面的明显气候特征。婆罗洲拟议的气候分区有助于更好地了解气候区域性和与气候相关的发展规划。