SPATIAL MODELING OF ANNUAL PRECIPITATION IN IRAN

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.

ASAKEREH HOSSEIN; SEIFIPOUR ZOHRE

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

Journal Paper

Paper Information

Journal: Geography and Development Year:2013 | Volume:10 | Issue:29 Page(s): 6-9

Download Full-Text

Persian Verion

View:

1,403

Download:

431

Cites:

Information Journal Paper

Title

SPATIAL MODELING OF ANNUAL PRECIPITATION IN IRAN

Author(s)

ASAKEREH HOSSEIN | SEIFIPOUR ZOHRE | Issue Writer Certificate

Keywords

CLUSTER ANALYSESQ2

SPATIAL AUTOCORRELATIONQ2

GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)Q2

SPATIAL MODELINGQ2

Abstract

Due to deep, complex and everlasting interaction between precipitation and climatic elements-factors, there are changes and varieties in both time and space dimensions of precipitation. So that climate experts and related scientists take their attentions to this phenomenon. An approach to do this kind of investigations is to describe spatial variations based on spatial statistics.The major spatial non-stationary of Iran precipitation is due to variation in situation, elevation and topography characters (slope and its direction) in this country. Circumstances of every one of these characters could determine the precipitation spatial patterns. Accordingly understanding spatial distribution of precipitation and its mechanism are important aspect in climatological researches. One of the common statistical models in which it is possible to determine the relation between variables as well as reconstruct, estimating and forecasting data is multivariate regression model. These sorts of models are useful for time series analyses as well as SPATIAL MODELING. One of the regression models that could be used in spatial analyses is called Geographically Weighted Regression (GWR). In current study it will be attempted to introduce this approach and using General Regression (GR) to justify spatial variation of precipitation in Iran based on 1436 stations in Iran.Research Methodology: In this research Esfezary data base have been used. This daily data based contain 15998 days and 7187 pixels (15*15 KM) of precipitation over Iran. Accordingly the data matrix is created in 15998*7187 and S-mode dimension. This matrix data base is estimated by using 1436 stations and Kriging method. To achieve independent variables, digital elevation map by 15*15 KM resolution has been created. So that, spatial (including longitude and latitude) and topographic (including slope magnitude and aspect) characters have been derived. Accordingly a data base has been created that contain spatial characters, topographic features and precipitation amounts.

Cites

ANALYSIS OF SPATIAL PATTERNS OF MONTHLY PRECIPITATION IN WEST AND NORTHWEST IRAN USING SPATIAL AUTOCORRELATION

References

Cite

APA: Copy

ASAKEREH, HOSSEIN, & SEIFIPOUR, ZOHRE. (2013). SPATIAL MODELING OF ANNUAL PRECIPITATION IN IRAN. GEOGRAPHY AND DEVELOPMENT, 10(29), 6-9. SID. https://sid.ir/paper/401818/en

Vancouver: Copy

ASAKEREH HOSSEIN, SEIFIPOUR ZOHRE. SPATIAL MODELING OF ANNUAL PRECIPITATION IN IRAN. GEOGRAPHY AND DEVELOPMENT[Internet]. 2013;10(29):6-9. Available from: https://sid.ir/paper/401818/en

IEEE: Copy

HOSSEIN ASAKEREH, and ZOHRE SEIFIPOUR, “SPATIAL MODELING OF ANNUAL PRECIPITATION IN IRAN,” GEOGRAPHY AND DEVELOPMENT, vol. 10, no. 29, pp. 6–9, 2013, [Online]. Available: https://sid.ir/paper/401818/en

Related Journal Papers