بهزادفر, م., و منعام, ع. (1389). تأثیر ضریب دید به آسمان در آسایش حرارتی کاربران فضای باز شهری،بررسی بوستانهای منتخب شهر تهران. آرمانشهر, 23-34.
خسروی, ی., و عباسی, ا. (1395). تحلیل فضایی داده های محیطی با زمین آمار. زنجان: آذرکلک.
سیفی, ی., و میرزایی, ر. (1396, بهار). مقایسه روش های درون یابی مکانی جهت پهنه بندی غلظت فلزات سنگین در خاک سطحی شهرستان آران و بیدگل. علوم و تکنولوژی محیط زیست, دوره هجدهم(شماره یک), 131-147.
شمسیپور, ع. (1393). مدلسازی آبوهوایی؛ نظریه و روش. تهران: انتشارات دانشگاه تهران.
شهرداری شیراز. (1393). بازنگری طرح تفصیلی شهر شیراز(فایل GIS). شیراز.
شهرراز, م. (1396). طرح جامع فضای سبز شیراز، مطالعات کالبدی فضایی. شیراز: شهرداری شیراز.
فرنهاد, م. م., و شهروخانه, م. م. (الف 1393). طرح تفصیلی شهر شیراز، منطقه شش، جلد اول: شناخت و تحلیل وضع موجود، کلیات، اقتصادی، اجتماعی. شیراز: شهرداری شیراز.
فرنهاد, م. م., و شهروخانه, م. م. (ب 1393). طرح تفصیلی شهر شیراز، منطقه شش، جلد دوم: شناخت و تحلیل وضع موجود، کالبدی-فضایی. شیراز: شهرداری شیراز.
فرنهاد, م. م., و شهروخانه, م. م. (ج 1393). طرح تفصیلی شهر شیراز، منطقه شش، جلد سوم: تدوین طرح پیشنهادی. شیراز: شهرداری شیراز.
قهرودی تالی, م., و بابایی فینی, ا. (1394). درآمدی بر سیستم های اطلاعات جغرافیایی (رشته جغرافیا). تهران: انتشارات دانشگاه پیام نور.
کلانتری, م., قهرمانی, ع., خسروی, ی., و جباری, ک. (1388). مدیریت و تحلیل داده های بزهکاری در بخش مرکزی شهر تهران با استفاده از تکنیک های درون یابی و سامانه های اطلاعات جغرافیایی. پژوهش های مدیریت انتظامی (مطالعات مدیریت انتظامی), 4(4), 482-504.
مرکز آمار ایران. (1397, 4 28). سرشماری عمومی نفوس و مسکن، نتایج سرشماری، جمعیت به تفکیک تقسیمات کشوری سال 1395.
13. Anderson, M. C. (1964). Studies of the woodland light climate: I. The photographic computation of light conditions. The Journal of Ecology, 27-41.
14. Asawa, T., Hoyano, A., & Nakaohkubo, K. (2008). Thermal design tool for outdoor spaces based on heat balance simulation using a 3D-CAD system. Building and Environment, 43(12), 2112-2123. doi:10.1016/j.buildenv.2007.12.007
15. Bärring, L., Mattsson, J. O., & Lindqvist, S. (1985). Canyon geometry, street temperatures and urban heat island in Malmö, Sweden. International Journal of Climatology, 5(4), 433-444.
16. Bottyán, Z., & Unger, J. (2003). A multiple linear statistical model for estimating the mean maximum urban heat island. Theoretical and applied climatology, 75(3), 233-243.
17. Bradley, A., Thornes, J., & Chapman, L. (2001). A method to assess the variation of urban canyon geometry from sky view factor transects. Atmospheric Science Letters, 2(1‐4), 155-165.
18. Chapman, L., Thornes, J., & Bradley, A. (2001). Rapid determination of canyon geometry parameters for use in surface radiation budgets. Theoretical and applied climatology, 69(1), 81-89.
19. Chapman, L., Thornes, J. E., & Bradley, A. V. (2002). Sky-view factor approximation using GPS receivers. International Journal of Climatology, 22(5), 615-621. doi:10.1002/joc.649
20. Chapman, L., Thornes, J. E., Muller, J.-P., & McMuldroch, S. (2007). Potential applications of thermal fisheye imagery in urban environments. IEEE Geoscience and Remote Sensing Letters, 4(1), 56-59.
21. Chen, L., Ng, E., An, X., Ren, C., Lee, M., Wang, U., & He, Z. (2012). Sky view factor analysis of street canyons and its implications for daytime intra-urban air temperature differentials in high-rise, high-density urban areas of Hong Kong: a GIS-based simulation approach. International Journal of Climatology, 32(1), 121-136. doi:10.1002/joc.2243
22. Chun, B., & Guldmann, J. M. (2014). Spatial statistical analysis and simulation of the urban heat island in high-density central cities. Landscape and Urban Planning, 125, 76-88. doi:10.1016/j.landurbplan.2014.01.016
23. De Souza, L. C. L., & Da Silva, A. N. R. (2006). Applying GIS tools for analysing urban thermal environment. Paper presented at the PLEA 2006-23rd International Conference on Passive and Low Energy Architecture, Conference Proceedings.
24. Debbage, N. (2013). Sky-view factor estimation: A case study of Athens, Georgia. The Geographical Bulletin, 54(1), 49.
25. Drezner, T. D., & Shaker, R. R. (2010). A new technique for predicting the sky-view factor for urban heat island assessment. The Geographical Bulletin, 51(2), 85.
26. Eliasson, I. (1992). Infrared thermography and urban temperature patterns. International journal of remote sensing, 13(5), 869-879.
27. Esri. (2018a). Comparing models. Retrieved from http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/comparing-models.htm
28. Esri. (2018b). How Diffusion Interpolation With Barriers works. Retrieved from http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/how-diffusion-interpolation-with-barriers-works.htm
29. Esri. (2018c). How Kernel Interpolation With Barriers works. Retrieved from http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/how-kernel-interpolation-with-barriers-works.htm
30. Esri. (2018d). How Kriging works. Retrieved from http://desktop.arcgis.com/en/arcmap/10.3/tools/3d-analyst-toolbox/how-kriging-works.htm
31. Esri. (2018e). How local polynomial interpolation works. Retrieved from http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/how-local-polynomial-interpolation-works.htm
32. Esri. (2018f). How radial basis functions work. Retrieved from http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/how-radial-basis-functions-work.htm
33. Esri. (2018g). What is areal interpolation? Retrieved from http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/what-is-areal-interpolation.htm
34. Esri. (2018h). What is Empirical Bayesian kriging? Retrieved from http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/what-is-empirical-bayesian-kriging-.htm
35. Gál, T., Lindberg, F., & Unger, J. (2008). Computing continuous sky view factors using 3D urban raster and vector databases: comparison and application to urban climate. Theoretical and applied climatology, 95(1-2), 111-123. doi:10.1007/s00704-007-0362-9
36. Gál, T. M., Rzepa, M., Gromek, B., & Unger, J. (2007). Comparison between sky view factor values computed by two different methods in an urban environment. Acta Climatologica et Chorologica, 40, 17-26.
37. Grimmond, C., Potter, S., Zutter, H., & Souch, C. (2001). Rapid methods to estimate sky‐view factors applied to urban areas. International Journal of Climatology, 21(7), 903-913.
38. Hämmerle, M., Gál, T., Unger, J., & Matzarakis, A. (2011). Comparison of models calculating the sky view factor used for urban climate investigations. Theoretical and applied climatology, 105(3-4), 521-527. doi:10.1007/s00704-011-0402-3
39. Holmer, B. (1992). A simple operative method for determination of sky view factors in complex urban canyons from fisheye photographs. Meteorol. Z., NF, 1, 236-239.
40. Johnson, G. T., & Watson, I. D. (1984). The determination of view-factors in urban canyons. Journal of Climate and Applied Meteorology, 23(2), 329-335.
41. Jusuf, S. K., Ignatius, M., Wong, N. H., & Tan, E. (2017). STEVE Tool Plug-in for SketchUp: A User-Friendly Microclimatic Mapping Tool for Estate Development. In Sustainable Building and Built Environments to Mitigate Climate Change in the Tropics (pp. 113-130): Springer.
42. Krivoruchko, K. (2012). Empirical bayesian kriging. ArcUser Fall, 2012, 6-10.
43. Li, W., PUTRA, S., & Yang, P. (2004). GIS analysis for the climatic evaluation of 3D urban geometry. Paper presented at the Proceeding of seventh international seminar on GIS in developing countries (GISDECO).
44. Liang, J., Gong, J., Sun, J., Zhou, J., Li, W., Li, Y., . . . Shen, S. (2017). Automatic Sky View Factor Estimation from Street View Photographs—A Big Data Approach. Remote Sensing, 9(5). doi:10.3390/rs9050411
45. Lindberg, F., & Grimmond, C. S. B. (2010). Continuous sky view factor maps from high resolution urban digital elevation models. Climate Research, 42(3), 177-183. doi:10.3354/cr00882
46. Matuschek, O., & Matzarakis, A. (2011). A mapping tool for climatological applications. Meteorological Applications, 18(2), 230-237. doi:10.1002/met.233
47. Matzarakis, A., & Matuschek, O. (2011). Sky view factor as a parameter in applied climatology rapid estimation by the SkyHelios model. Meteorologische Zeitschrift, 20(1), 39-45. doi:10.1127/0941-2948/2011/0499
48. Matzarakis, A., Mayer, H., & Chmielewski, F.-M. (2010). Berichte des Meteorologischen Instituts der Albert-Ludwigs-Universität Freiburg. Retrieved from
49. Oke, T. R. (1981). Canyon geometry and the nocturnal urban heat island Comparison of scale model and field observations. JOURNAL OF CLIMATOLOGY, 1, 237-254.
50. Oke, T. R. (1988). Street design and urban canopy layer climate. Energy and Buildings, 11(1-3), 103-113. doi:10.1016/0378-7788(88)90026-6
51. Ratti, C. (2001). Urban analysis for environmental prediction. University of Cambridge,
52. Ratti, C., & Richens, P. (1999). Urban texture analysis with image processing techniques. In Computers in Building (pp. 49-64): Springer.
53. Ratti, C., & Richens, P. (2004). Raster Analysis of Urban Form. Environment and Planning B: Planning and Design, 31(2), 297-309. doi:10.1068/b2665
54. Souza, L. C. L., Rodrigues, D. S., & Mendes, J. F. (2003a). A 3D-gis extensionf for sky view factors assessment in urban environment.
55. Souza, L. C. L., Rodrigues, D. S., & Mendes, J. F. (2003b). Sky view factors estimation using a 3D-GIS extension.
56. Steyn, D. G. (1980). The calculation of view factors from fisheye‐lens photographs: Research note. Atmosphere-Ocean, 18(3), 254-258. doi:10.1080/07055900.1980.9649091
57. Svensson, M. K. (2004). Sky view factor analysis – implications for urban air temperature differences. Meteorological Applications, 11(3), 201-211. doi:10.1017/s1350482704001288
58. Unger, J. (2009). Connection between urban heat island and sky view factor approximated by a software tool on a 3D urban database. International Journal of Environment and Pollution, 36(1-3), 59-80.
59. Upmanis, H., & Chen, D. (1999). Influence of geographical factors and meteorological variables on nocturnal urban-park temperature differences—a case study of summer 1995 in Göteborg, Sweden. Climate Research, 13(2), 125-139.
60. Vieira, H., & Vasconcelos, J. (2003). Urban morphology characterisation to include in a GIS for climatic purposes in Lisbon. Discussion of two different methods. Paper presented at the Proc 5th Int Conf on Urban Climate.
61. Watson, I., & Johnson, G. (1987). Graphical estimation of sky view factors in urban environments. International Journal of Climatology, 7(2), 193-197.
62. Wong, N. H., Jusuf, S. K., & Tan, C. L. (2011). Integrated urban microclimate assessment method as a sustainable urban development and urban design tool. Landscape and Urban Planning, 100(4), 386-389. doi:10.1016/j.landurbplan.2011.02.012
63. Yamashita, S., Sekine, K., Shoda, M., Yamashita, K., & Hara, Y. (1986). On relationships between heat island and sky view factor in the cities of Tama River basin, Japan. Atmospheric Environment (1967), 20(4), 681-686.