CLIMATIC REGIONALIZATION OF CASPIAN REGION USING MULTIVARIATE STATISTICAL METHODS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MONTAZERI M.; BAY N.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: GEOGRAPHICAL RESEARCH Year:2012 | Volume:27 | Issue:2 (105) Page(s): 77-90

Download Full-Text

Persian Verion

View:

2,634

Download:

Cites:

Information Journal Paper

Title

CLIMATIC REGIONALIZATION OF CASPIAN REGION USING MULTIVARIATE STATISTICAL METHODS

Author(s)

MONTAZERI M. | BAY N. | Issue Writer Certificate

Keywords

CLIMATIC REGIONALIZATIONQ2

INTERPOLATIONQ3

FACTOR ANALYSISQ2

CLUSTER ANALYSISQ2

CASPIAN REGIONQ2

Abstract

The weaknesses of the traditional climatic classification methods in presenting the climatic realities of CASPIAN REGION and showing the new methods'' merits based on multivariate statistical methods, and geographical information system in presenting the climatic regions of Caspian, are among the most important ideas of conducting this study. To do so, we used the data of synoptic stations of north and north east of the country in a period of 20 years. To analyze 19 climatic elements in “Factor analysis” method; at first the map of each studied climate of the region was traced by “Surfer software” on the bases of Pixel in a 15*15 km measure. And also by “minimum curvature” method, data of each map become interpolated. After that, data of each map were changed to digital data, which a matrix in a 266*19 measure was formed of those digital data. By analyzing the matrix in “Factor analysis” method, it was certificated that 98% data variance of it is of the precipitation and temperature that Data consist: 50% of the primary factor and 48% of the secondary factor. Quantities of precipitation and temperature were analyzed by “agglomerative hierarchical cluster analyzes” in “ward” method that the CASPIAN REGION was divided to four regions in the aftermath; moderate and humid, moderate and semi humid, cold and low precipitation, and semi cold and low precipitation. These minor climatic regions are greatly influenced by some climatic factors, as the remoteness and farness from the sea and the elevation increase. Climatic varieties in the eastern parts, especially in the limits of Golestan province, are more evident.

Cites

No record.

References

Cite

APA: Copy

MONTAZERI, M., & BAY, N.. (2012). CLIMATIC REGIONALIZATION OF CASPIAN REGION USING MULTIVARIATE STATISTICAL METHODS. GEOGRAPHICAL RESEARCH, 27(2 (105)), 77-90. SID. https://sid.ir/paper/30049/en

Vancouver: Copy

MONTAZERI M., BAY N.. CLIMATIC REGIONALIZATION OF CASPIAN REGION USING MULTIVARIATE STATISTICAL METHODS. GEOGRAPHICAL RESEARCH[Internet]. 2012;27(2 (105)):77-90. Available from: https://sid.ir/paper/30049/en

IEEE: Copy

M. MONTAZERI, and N. BAY, “CLIMATIC REGIONALIZATION OF CASPIAN REGION USING MULTIVARIATE STATISTICAL METHODS,” GEOGRAPHICAL RESEARCH, vol. 27, no. 2 (105), pp. 77–90, 2012, [Online]. Available: https://sid.ir/paper/30049/en

Related Journal Papers