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:: Volume 32, Number 1 (6-2017) ::
geores 2017, 32(1): 64-75 Back to browse issues page
Representation of Temperature Variability in Fars Province Using Spatial Statistics
Mehdi Asadi 1, Mokhtar Karami2
1- Ph.D Student, Department of Geography Hakim Sabzevari University, Iran
2- Assistant professor, Department of Geography Hakim Sabzevari University, Iran
Abstract:   (274 Views)

In order to identify the changes of spatial autocorrelation between heat clusters in Fars province, the minimum and maximum temperatures have been recorded to form a network database in Fars province. Then a 33 year period was selected for this research from the afore-mentioned database, the selected daily period was from 1/01/1980 to 12/31/2012, and an area with the dimensions of 18×18 km was added to the region under study. In order to achieve the temperature changes of these heat clusters, the newest spatial statistical methods such as spatial autocorrelation (Global Moran’s I), Anselin Local Moran’s and hot spots by environment GIS were used. The results of this study showed that the pattern of spatial and temporal variations of heat clusters of Fars Province is high-cluster. However, based on local Moran and hot spots, heat clusters in the South, South West and South East have positive spatial autocorrelation pattern (heat clusters) and parts of North and North East have a negative spatial autocorrelation (cold clusters). In the study period, a large part of the province, in most cases, almost half of the total area had no pattern of spatial autocorrelation, significant or non-significant.

Keywords: Heat Clusters, Spatial Autocorrelation, Moran Index, Hot Spots, Fars
Full-Text [PDF 1019 kb]   (155 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/06/13 | Accepted: 2017/06/13 | Published: 2017/06/13
1. Ageena, I., Macdonald, N., Morse, A. P. (2013), Variability of maximum and mean average temperature across Libya (1945–2009). Theoretical and Applied Climatology, pp.1-15.
2. Alijani, B, Ghavidel Rahimi, J. (2005), comparing the temperature changes of Tabriz with temperature anomalies of the Earth using linear regression and neural network, Geography and Development, 6, pp. 21-38. (in Persian).
3. Anselin, L, Syabri I., Kho, Y. (2009), Geo Da: an introduction to spatial data analysis. In Fischer MM, Getis A (Eds) Handbook of applied spatial analysis. Springer, Berlin, Heidelberg and New York, pp. 73-89.
4. Azizi, G., Roushani, M. (2008), Using Mann-Kendall test to recognize of climate change in Caspian Sea southern coasts, Geographical Researches Quarterly, No. 64, pp. 13-18. (in Persian).
5. Bajat, B., Blagojević, D., Kilibarda, M., Luković, J., Tošić, I. (2014), Spatial analysis of the temperature trends in Serbia during the period 1961–2010. Theoretical and Applied Climatology, pp.1-13.
6. Ben-Gai, T., Bitan, A., Manes, A., Alpert, P., Rubin, S. (1999),Temporal and spatial trends of temperature patterns in Israel, Theoretical and Applied Climatology, 64, pp.163-177.
7. Braganza, K., Karoly, D.J., Arblaster, J. M. (2004), Diurnal temperature range as an index of global climate change during the twentieth century, Geophysical Research Letters, 31, L13217.
8. Charlton, M., Lu, B., Fotheringham, A. S. (2011), Geographically weighted regression using a non–euclidean distance metric with a study on london house price data. Procedia Environmental Sciences 7, pp.92–97.
9. De Lucena, A. J., Rotunno Filho, O. C., de Almeida França, J. R., de Faria Peres, L., Xavier, L. N. R. (2013), Urban climate and clues of heat island events in the metropolitan area of Rio de Janeiro. Theoretical and applied climatology, 111(3-4), pp. 497-511.
10. Del Río, S., Herrero, L., Pinto-Gomes, C., Penas, A. (2011), Spatial analysis of mean temperature trends in Spain over the period 1961–2006. Global and Planetary Change, 78(1), pp. 65-75.
11. Getis, A., Aldstadt, J. (2004), Constructing the spatial weights matrix using a local statistic. Geogr Anal 36(2), pp. 90-104.
12. Ghahraman, B. (2006), Time trend in the mean annual temperature of Iran. Turk J Agric For 30, pp. 439–448.
13. Griffith, D. (1987), Spatial Autocorrelation: A Primer. Resource Publication in Geography, Association of American geographers.
14. Hasanean, H.M. (2001), Fluctuation of surface air temperature in the eastern Mediterranean, Theoretical and Applied Climatology, 68, pp. 75-87.
15. Illian, J., Penttinen, A., Stoyan, H., Stoyan, D. (2008), Statistical Analysis and Modelling of Spatial Point Patterns, John Wiley and Sons, Chichester, irrigation area, Australia, Progress in Natural Science, Vol. 19, Issue 12, pp.1773- 1779.
16. Jacquez GM, Greiling DA. (2003), Local clustering in breast, lung and colorectal cancer in Long Island, New York. Int J. Health Geographic, 2:3.
17. Jolliffe, I.T. A. Philipp, (2010), Some Recent Developments in Cluster Analysis, Physics and Chemistry of the Earth, Parts A/B/C, Vol. 35, Issues 9- 12, pp. 309- 315.
18. Kaas, E., Frich, P. (1995), Diurnal temperature range and cloud cover in the Nordic countries: observed trends and estimates for the future, Atmospheric Research, 37, pp.211-228.
19. Kendall, W. S. (1998), Perfect simulation for the area-interaction point process. In L. Accardi and C.C. Heyde, editors, Probability Towards 2000, Springer Lecture Notes in Statistics 128, pp.218–234.
20. Kim, K.S. (1990), Industrialization process, employment and income distribution in Mexico, issues and strategies (Working Paper Number 131, January 1990).University of Notre Dame, The Helen Kellogg Institute for International Studies: https://kellogg.nd.edu/publications/workingpapers/WPS/131.pdf.
21. Kim, S., Singh, V. P. (2014), Modeling daily soil temperature using data-driven models and spatial distribution. Theoretical and Applied Climatology, pp. 1-15.
22. Kousari M.R., Ekhtesasi M.R., Tazeh M., Saremi Naeini M.A., Asadi Zarch M.A., (2010), An investigation of the Iranian climatic changes by considering the precipitation, temperature, and relative humidity parameters, Theoretical and Applied Climatology, 103, pp.321-335. (in Persian).
23. Kundzewicz, Z. C., Giannakopoulos, M., Schwarb, I., Stjernquist, M., Szwed, J. (2008), Palutikof, Impacts of climate extremes on activity sectors – stakeholders’ perspective, Theoretical and Applied Climatology, 93, pp. 117- 132.
24. Lu, B., Charlton, M., Fotheringham, A. S. (2011), Geographically weighted regression using a non– euclidean distance metric with a study on London house price data, Procedia Environmental Sciences, 7, pp. 92–97.
25. Lu, B., Charlton, M., Harris, P. (2014), Geographically weighted regression with a non–Euclidean distance metric: a case study using hedonic house price data. International Journal of Geographical Information Science 28(4), pp.660–681.
26. Masoodian, S. A. (2005), The trend of temperatures in the last half century, Physical Geography, Issue 54, pp. 45-29. (in Persian).
27. Mitchell, A. (2005), The ESRI guide to GIS analysis, spatial measurements and statistics, ESRI, Redlands [CA].
28. Mohammadi, H. (2011), Urban Climatology, Tehran University Press, Tehran. (in Persian).
29. Moller, j. (2008), Handbook of Spatial Statistics, John Wiley and Sons, Chichester, pp. 37-45.
30. Nemec, J., Gruber, C., Chimani, B., Auer, I. (2013), Trends in extreme temperature indices in Austria based on a new homogenised dataset. International Journal of Climatology, 33(6), pp.1538-1550.
31. Razmi R., Balyani S., Mansouri Daneshvar, M.R. (2017), Geo-statistical modeling of mean annual rainfall over the Iran using ECMWF database. Spatial Information Research DOI: 10.1007/s41324-017-0097-3.
32. Rogerson, P.A. (2006), Statistics Methods for Geographers: students Guide, SAGE Publicationsو Los Angeles, California.
33. Smadi, M.M. (2006), Observed abrupt changes in minimum and maximum temperatures in Jordan in the 20th century, Am. J. Environ. Sci. 2 (3), pp.114–120.
34. Smith, M. J., Goodchild, M. F., Longley, P. A. (2006), Geospatial analysis. Troubador, Leicester.
35. Solow, A. R. (1987), testing for climate change: an application of the two-phase regression model, Journal of Climate and Applied Meteorology, 26, pp.1401-1405.
36. Soltani, E., Soltani, A. (2008), Climatic change of Khorasan, North-East of Iran, during 1950–2004. Res. J. Environ. Sci. 2 (5), pp.316–322.
37. Sun, W., Zhu, Y., Huang, S., Guo, C. (2015), Mapping the mean annual precipitation of China using local interpolation techniques. Theor Appl Climatol. 119, pp.171–180.
38. Tabari, H., Marofi, S., Hosseinzadeh Talaee. (2011). Recent trends of mean maximum and minimum air temperatures in the western half of Iran, Meteorol Atmos Phys, 111, pp.121–131.
39. Tavousi, T; rakhshani, Z. and Firuzi, F. (2014),The trend analysis of seasonal and annual temperature maximum and minimum Fars province using non-parametric methods, Journal of Niwar, No. 87-86, pp. 39-29.(in Persian).
40. Wheeler D, Paéz. (2009), Geographically Weighted Regression. In Fischer MM, Getis A (Eds) Handbook of applied spatial analysis. Springer, Berlin, Heidelberg and New York, pp.461-486.
41. Wheeler D. (2007), A comparison of spatial clustering and cluster detection techniques for childhood leukemia incidence in Ohio, 1996-2003. Int J Health Geographics 6(1), pp.13.
42. Zhang C, Luo L, Xu W, Ledwith V. (2008), Use of local Moran’s I and GIS to identify pollution hotspots of Pb in urban soils of Galway, Ireland. Sci Total Environ 398 (1-3), pp.212-221.
43. Zhou, D. (2009), Climatic Regionalization Mapping of the Murrumbidgee irrigation area, Australia, Progress in Natural Science, Vol. 19, Issue 12, pp. 1773- 1779.
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DOI: 10.18869/acadpub.geores.32.1.64

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Asadi M, Karami M. Representation of Temperature Variability in Fars Province Using Spatial Statistics. geores. 2017; 32 (1) :64-75
URL: http://georesearch.ir/article-1-103-en.html
Volume 32, Number 1 (6-2017) Back to browse issues page
فصلنامه تحقیقات جغرافیایی Geographical Researches Quarterly Journal
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