期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到1篇文章
< 1 >
每页显示 20 50 100
已选择0条
导出题录 引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
United Arabic Emirates Weather Stations: A Spatial Analysis with myGeoffice©
1
作者 Joao Negreiros mohammad kuhail 《Journal of Geoscience and Environment Protection》 2024年第12期373-387,共15页
This paper presents a spatial analysis of weather data from ten stations in the United Arab Emirates (UAE) using myGeoffice©, a web-based Geographical Information System (GIS) tool. This study investigates patter... This paper presents a spatial analysis of weather data from ten stations in the United Arab Emirates (UAE) using myGeoffice©, a web-based Geographical Information System (GIS) tool. This study investigates patterns in rainfall, station connectivity, and the impact of various factors on rainfall prediction. Cluster analysis was applied to classify regions based on rainfall patterns, and algorithms such as Dijkstra’s shortest path and Kruskal’s minimum spanning tree were used to evaluate connectivity among stations. Geographically Weighted Regression (GWR) was employed to model the effects of temperature, humidity, and wind on rainfall. The results indicate that temperature is the dominant factor negatively affecting rainfall, with variations observed across different locations. The study also uses probabilistic models, such as Binomial and Poisson distributions, to predict the likelihood of rainfall and flood occurrences. Overall, the analysis demonstrates the utility of GIS statistical methods in uncovering spatial weather patterns to support more informed decision-making in weather-related studies for the UAE. 展开更多
关键词 United Arabic Emirates Weather Stations Spatial Analysis myGeoffice©
在线阅读 下载PDF
已选择0条
导出题录 引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
使用帮助 返回顶部