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Information Journal Paper

Title

THE SPATIAL DISTRIBUTION PATTERNS OF TEMPERATURE, PRECIPITATION, AND HUMIDITY USING GEOSTATISTICAL EXPLORATORY ANALYSIS (CASE STUDY: CENTRAL AREA OF IRAN)

Pages

  99-101

Keywords

EXPLORATORY SPATIAL DATA ANALYSIS (ESDA)Q2
SPATIAL AUTOCORRELATION (SA)Q2
GLOBAL INDICATOR SPATIAL ASSOCIATION (GISA)Q2
LOCAL INDICATOR SPATIAL ASSOCIATION (LISA)Q2

Abstract

 Spatial Autocorrelation (SA) is the correlations of the observed data of an area in the form of spatial pattern. The criterion of SA phenomenon occurrence is when the distribution of one observed variable value follows a particular pattern systematically.

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  • Cite

    APA: Copy

    NAZARIPOUR, H., DOSTKAMIYAN, M., & ALIZADEH, S.. (2015). THE SPATIAL DISTRIBUTION PATTERNS OF TEMPERATURE, PRECIPITATION, AND HUMIDITY USING GEOSTATISTICAL EXPLORATORY ANALYSIS (CASE STUDY: CENTRAL AREA OF IRAN). JOURNAL OF THE EARTH AND SPACE PHYSICS, 41(1), 99-101. SID. https://sid.ir/paper/80634/en

    Vancouver: Copy

    NAZARIPOUR H., DOSTKAMIYAN M., ALIZADEH S.. THE SPATIAL DISTRIBUTION PATTERNS OF TEMPERATURE, PRECIPITATION, AND HUMIDITY USING GEOSTATISTICAL EXPLORATORY ANALYSIS (CASE STUDY: CENTRAL AREA OF IRAN). JOURNAL OF THE EARTH AND SPACE PHYSICS[Internet]. 2015;41(1):99-101. Available from: https://sid.ir/paper/80634/en

    IEEE: Copy

    H. NAZARIPOUR, M. DOSTKAMIYAN, and S. ALIZADEH, “THE SPATIAL DISTRIBUTION PATTERNS OF TEMPERATURE, PRECIPITATION, AND HUMIDITY USING GEOSTATISTICAL EXPLORATORY ANALYSIS (CASE STUDY: CENTRAL AREA OF IRAN),” JOURNAL OF THE EARTH AND SPACE PHYSICS, vol. 41, no. 1, pp. 99–101, 2015, [Online]. Available: https://sid.ir/paper/80634/en

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