𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Climatic subdivisions in saudi arabia: An application of principal component analysis

✍ Scribed by Al-Jerash, Mohammad A.


Publisher
Wiley (John Wiley & Sons)
Year
1985
Weight
896 KB
Volume
5
Category
Article
ISSN
2314-6214

No coin nor oath required. For personal study only.

✦ Synopsis


Two computer programs were executed on the available climatic data of fifty stations dispersed throughout Saudia Arabia. The first was a program for calculating the variables that represent potential evapotranspiration, soil moisture content and actual evapotranspiration. The aim of this step was to broaden the base of analysis whereby the processing of twenty-four climatic variables becomes possible. The second was a principal component analysis program. The application of this program was carried out in two stages. First, on the twenty-four climatic variables. This has led to the identification of five climatic components as being the principal factors that control the spatial variations of the climate in Saudi Arabia. Secondly, on the scaled distance matrix that was originally calculated using the station scores of the five components. This resulted in grouping the fifty climatic stations into six categories each of which represents a distinct spatial climatic subdivision of the country.

KEY WORDS Climatic subdivisions Principal components analysis Climatic variables Climatic components Saudi Arabia


πŸ“œ SIMILAR VOLUMES


APPLICATION OF PROJECTION-PURSUIT PRINCI
✍ CHAN, JOHNNY C. L.; SHI, JIU-EN πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 194 KB πŸ‘ 2 views

Projection-pursuit (PP) principal component analysis (PCA) is a new statistical method that can deal with high-dimensional problems. In this paper, we show how this method can be applied to analyse regional monthly sea surface temperature and rainfall. Comparisons are made with results derived from

The assignment of Rainfall stations into
✍ T. G. J. Dyer πŸ“‚ Article πŸ“… 1975 πŸ› John Wiley and Sons 🌐 English βš– 694 KB

## Abstract The calculation of eigenvectors has been used to describe annual precipitation totals over an area of large extent. Rotation of the eigenvectors brought about further clarification of the system of recording stations. By noting the eigenvector of most importance to each station, delimit