Investigating the Changes in Spatial Pattern of Rural Settlement Network of Qazvin Province with the Emphasis on the Role of Ecological Elements During the Period 1976-2016

Document Type : Original Article


Assistant Professor of Buein Zahra Technical University, Department of Architecture and Urban Planning, Buein Zahra, Qazvin, Iran


Purpose- Initial and preliminary review of distribution of rural settlements of Qazvin province indicates a special pattern in this province (the densely populated villages in some areas of the province and being devoid of population in some other villages) which has been changed during different census periods and it raises the following questions: what factors have created such a pattern? Do ecological factors play a role in the formation of this pattern? Hence, the purpose of the present study is to answer these questions.
Design/methodology/approach- The present study was conducted using a descriptive-analytical method. First, the Getis-Ord Gi* statistic was used to review the spatial pattern of rural residents' network in Qazvin province, then k'luster analysis method through edge removal (SKATER) was used for grouping rural areas based on ecological conditions, and finally using the obtained results, the correlation coefficients between the ecological factors and the spatial distribution of the population in the obtained ecological groups were calculated. 
Findings- examining the spatial distribution pattern of rural settlements of Qazvin province according to Getis-Ord statistic indicates a cluster pattern of population spatial distribution in rural areas of Qazvin province. This pattern has high density in some areas and low density in other areas. The central parts of the province which include the Qazvin plain, have hot spots, and the northern areas of the province which include the mountainous areas, have cold spots. Based on the ecological grouping of villages through SKATER method and calculated correlation coefficients, the highest impact belonged to the grouping related to access to underground waters (existence of aquifer) and the next ranks belong to the distance from the river and slope. This shows the high impact of ecological variables on the distribution of rural population of the province during different periods.


  1. Aldous, D. (1990). A random tree model associated with random graphs. Random Structures & Algorithms, 1(4), 383–402.
  2. Aliaee, M.S. (2018). Investigating the role of natural factors in the distribution and establishment of rural settlements in Zanjan county. Land Geographical Engineering, 3(5), 45-57. [In Persian].
  3. Asgari, A. (2010). Spatial statistical analysis with ArcGIS. Technology and Communication Organization of Tehran Municipality. [In Persian].
  4. Assunção, M.R., Corrêa Neves, M., Câmara, G., & da Costa Freitas, C. (2006). Efficient regionalization techniques for socio-economic geographical units using minimum spanning trees. International Journal of Geographical Information Science, 20, 7, 797–811.
  5. Bahrami, A., Rezalu, R. & Aftab, A. (2017). Role of natural factors in the ecological distribution of ancient habitats in Ardabil province. Geographical space, 17 (57), 157-139. [In Persian].
  7. Carlos Duque, J., Ramos, R., & Suriñach, J. (2007). Supervised regionalization methods: A survey. International Regional Science Review, 30(3),195–220.
  8. Chen, S., Mehmood, M.S., Liu, S., & Gao, Y. (2022). Spatial Pattern and Influencing Factors of Rural Settlements in Qinba Mountains, Shaanxi Province, China. Sustainability14, 10095.
  10. EstelaJi, A.R., & Jafari, M. (2014). Role of natural factors in the spatial arrangement of rural settlements in Mahenshan county. Geography and Environmental Studies, 3(10), 29-40. [In Persian].
  11. Fazli Nashli, H., Darabi, H., Fallahian, Y., & Naseri, R. (2011). Absolute and relative chronology of Segzabad hill, Qazvin plain. Archaeological Studies, 3(1), 133-158. [In Persian].
  12. Getis, A., & Aldstadt, J. (2010). Constructing the spatial weights matrix using a local statistic. In Perspectives on spatial data analysis. Springer, 147–163.
  13. Getis, A. (2009). Spatial weights matrices. Geographical Analysis 41, 4,404–410.
  15. Guanghui, J., Fengrong, Z., & Junwei, C. (2007). Analysis of the driving forces of change of rural residential areas in Beijing mountainous areas based on Logistic regression model. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE)23(5), 81-87.
  16. Liu, , Ke, X., Wu, W., Zhang, M., Fu, X., Li, J., ... & Zhou, X. (2022). Geospatial characterization of rural settlements and potential targets for revitalization by geoinformation technology. Scientific reports12(1), 1-16.
  17. Ma, L., Guo, X., & Zhang, Q. (2012). Spatio-temporal distribution and optimization of rural settlements in Gangu county of loess hilly area. Nongye Gongcheng Xuebao.Transactions of the Chinese Society of Agricultural Engineering, 28, 217 - 225.
  18. Maravalle, M., & Simeone, B. (1995). A spanning tree heuristic for regional clustering. Communications in statistics-theory and methods, 24, 3,625–639.
  19. Motiee Langroudi, S.H., Faraji Sobkbar, H.A., Qadiri Masoum, M., & Bakshi, Z. (2016). Spatial analysis of the distribution of rural settlements in the Sabzevar-Nishabour region based on the available ecological resources. Human Geography Research, 49(1), 227-242. [In Persian]. http://Doi.10.22059/jhgr.2017.59773
  20. Mousavi Kohper, S.M., Heydarian, M., Aghaari Heer, M., Vahdati Nasab, H., Khatib Shahidi, H., & Nistani, J. (2011). Analysis of the role of natural factors in the spatial distribution of ancient sites in Mazandaran province. Natural Geography Research, 43(75). [In Persian]
  21. Mousavi, M., Nazmfar, H., & Aftab, A. (2012). Investigating the role of natural factors in the geographical distribution of population and urban settlements using GIS and Geoda, case study: West Azarbaihan province. Geography and Environmental Studies, 2(5), 80-98. [In Persian].
  22. Nematullahi, F., & Ramesht, M.H. (2021). Spatial analysis of rural settlements in Iran. Geography and Development, 19(65), 1-26. [In Persian]. http://doi:10.22111/j10.22111.2021.6519
  23. Qiu, L., He, D., & Jiang, S. (2019). GIS-based spatial distribution characteristics and influence factors of rural residential area in ChongyiCountry (in Chinese with English abstract). Anhui Agric. Sci. Bull, 25(20), 1–4.
  24. Rezaei, M.H. (2016). Role of environmental factors on the formation of Bakun period settlements in Kazeroon plain, south of Iran. Archaeological Researches of Iran, 7(14), 7-24. [In Persian]. http://doi:10.22084/nbsh.2017.11288.1485
  25. Sadr Mousavi, M., Talebifard, R., & Niazi, C. (2016). investigating the role of natural factors in the geographical distribution of rural settlements (case study: Sahne county). Human Settlements Planning Studies Quarterly (Geographical Perspective), 12, 4, 41. [In Persian].
  26. Saeedi, A. (2009). Introduction of Rural Geography, Tehran: SAMT Publication. [In Persian]
  27. Shahi, D. K. (2021). Distribution of rural settlements in the high himalayan region: A case study of har ki dun. ACADEMICIA Int. Multi‑discip. Res. J., 11(12), 285–294.
  28. Shakoei, H. (2010). Philosophy of Geography. Tehran: Gitasheasi Publication. [In Persian].
  29. Tao, T., Abades, S., Teng, S., Huang, Z. Y., Reino, L., Chen, B. J., ... & Svenning, J. C. (2017). Macroecological factors shape local-scale spatial patterns in agriculturalist settlements. Proceedings of the Royal Society B: Biological Sciences, 284(1866), 20172003.
  30. Wang, X., Qi, W., & Liu, S. (2020). Spatial distribution characteristics and related factors of small towns in China (in Chinese with Englishabstract). Res, 39(2), 319–336.
  31. Xu, J., Yang, M., Lu, Z., Liu, D., & Wu, Y. (2021). Quality Analysis on Spatial Planning Pattern of Rural Area in Southern Shaanxi, China. Sustainability13(22), 12668.
  32. Xue-lan, T., Jian-nan, D., Yu-hang, X., & Chun-hong, B. (2010, December). A GIS based analysis of influencing factors of spatial distribution of rural settlements. In The 2nd International Conference on Information Science and Engineering (pp. 3416-3419). IEEE. http://doi.1109/ICISE.2010.5688941
  33. Zhang, L., Lin, X., Leng L., & Zeng, Y. (2021). Spatial distribution of rural population from a climate perspective: Evidence from Jiangxi Province in China. PLoS ONE, 16(3): e0248078.
  35. Zhang, H., & Zhang S, Liu, Z. (2020). Evolution and influencing factors of China's rural population distribution patterns since 1990. PLOS ONE 15(5): e0233637.