[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 16, Issue 56 (3-2017) ::
جغرافیایی 2017, 16(56): 241-261 Back to browse issues page
Zoning desertification hazard by applying Principal Component Analysis, in Khezrabad Region, Yazd
Mohammad hassan Sadeghi ravesh *
Islamic Azad University
Abstract:   (5873 Views)

Desertification assessment tries to set the most important components of desertification in each region, and finally provides the desertification potential map by evaluating indexes in each working unit. Given the importance of these maps, despite the development of techniques and quantitative methods in recent years, having the methods with less error, more reliability and with higher quick and ease are still important. Since the desertification process results by interaction of multiple variables over time, a method for zoning should be used that can maintain accuracy, speed and ease of access to the result. The purpose of this study is to evaluate the accuracy of ''principle component analysis model''. In order to reduce the aspects of the studied problem and the ease in achieving results, this method can consider the principle components of the problem and then removing the other components. Also by using the software it can increase the accuracy, speed and ease of zoning process. Analytics in the study area showed in terms of the desertification potential, 9.35 % of study area in Class VI or very high, 25.6 % in class IV or high and 41.85 % in class II or relatively moderate which are allocated the largest in the study area. Also the quantitative value of desertification potential in whole study area from all of the components was obtained as 3.29 (relatively High).

Keywords: desertification severity, multivariate data analysis method (MDA), principal component analysis model (PCA).
Full-Text [PDF 1954 kb]   (1254 Downloads)    
Type of Study: Research | Subject: Special
Received: 2014/02/19 | Accepted: 2015/04/5 | Published: 2017/02/26
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sadeghi ravesh M H. Zoning desertification hazard by applying Principal Component Analysis, in Khezrabad Region, Yazd. جغرافیایی 2017; 16 (56) :241-261
URL: http://geographical-space.iau-ahar.ac.ir/article-1-729-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 16, Issue 56 (3-2017) Back to browse issues page
فضای جغرافیایی Geographic Space
Persian site map - English site map - Created in 0.18 seconds with 37 queries by YEKTAWEB 4657