期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：2
页码：382
出版社：Journal of Theoretical and Applied
摘要：Global climate change significantly affects global and regional climate conditons. This research aims to predict climate distribution by using thiessen polygon algorithm optimization. Thiessen polygon weighs rainfall and measured surrounding areas to predict locations affected by surrounding climate condition. Our study produces spatial model of climate classification and thematic maps of spatial climate in the forms of types of spatial climates based on Koppen climate classification. The Central Java Province itself has three climate types, namely (af) wet tropical, (am) monsoon tropical, and dry wet tropical or savana tropical (aw). It is expected that our study could be used for reference of disaster impact mitigation, determining agricultural cropping patterns, transport navigation and disaster management.
