Journal of Korean Society of Rural Planning (농촌계획)

Korean Society of Rural Planning (한국농촌계획학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of Population Depending on Spatial Unit for Setting Suitable Spatial Unit to Rural Planning

농촌계획 수립에 적합한 공간단위 설정을 위한 공간 단위에 따른 인구 비교 분석

  • Lee, Jimin (Research Institute of Agriculture and Life Sciences, Seoul National University)
  • 이지민 (서울대학교 농업생명과학연구원)
  • Received : 2019.05.30
  • Accepted : 2019.07.12
  • Published : 2019.08.30
Download PDF
⟨ Previous Next ⟩

Abstract

Population is important as a fundamental element of local industry and economy, and census data is essential to regional planning and policy making. Although there have been many researches on population and regional planning, there are few studies on population considering spatial unit. In this study, the population of three spatial scales were compared in order to establish the spatial unit suitable for the rural planning. The study area is Gangwon, Chungcheong-Nam, Chungcheong-Buk, Jeolla-Nam, Jeolla-Buk, Gyeonsang-Nam, Gyeonsang-Buk and Jeju province. Population were compared using statistical data analysis, GIS visualization, and spatial statistics. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. As the results, the census output area unit is difficult to interpret spatial analysis results. Administrative district unit has the limit that includes areas where the population does not live. The grid unit is well suited to the geographical characteristics but has many disadvantages of the grid with small population. Therefore, It is necessary to complement the limits of the Eup and Myeon-dong administrative district through the grid unit data.

Keywords

References

  1. Anselin, L., and Bera, A. K.. 1998, Introduction to spatial econometrics. Handbook of applied economic statistics, 237-289, New York.
  2. Cheong, J. and Park, J., 2015, Test of the Scale Effect of MAUP in Crime Study: Analyses of Sex Crime Using Nation-Wide Data of Eup-Myon-Dong and Si-Gun-Gu, The Korea Contents Association 15(10), 150-159. https://doi.org/10.5392/JKCA.2015.15.10.150
  3. Cheong, J.S. and W.J. Kim, 2012, Neighborohood-level crime research and the MAUP(Modifiable Areal Unit Problem, The Journal of Police Science, 12(2), 27-47.
  4. Choi E., 2009, The role of GIS in the production and provision of spatial statistics of the Census, Statistical research institute, Daejeon.
  5. Choi, B., Kim H. and Yoon, J., 2019, Urban planning system reform plan in response to population decrease and changes in conditions, Urban Information Service (444), 4-25.
  6. Choi, D. J. and Suh, Y. C., 2013, A Study on the Exploratory Spatial Data Analysis of the Distribution of Longevity Population and the Scale Effect of the Modifiable Areal Unit Problem(MAUP), Journal of the Korean Association of Geographic Information Studies, 16(3), 40-53. https://doi.org/10.11108/kagis.2013.16.3.040
  7. Gwak, M., 2019, What is more Suitable Size of the Spatial Units in Urban Crime Analysis? : Focused on Cell-based Spatial Econometric Models, Master's Thesis, Chungbuk National University.
  8. Kang, H., 2008, Hot Spot Analysis: Basics of spatial analysis, recent lean cluster analysis and understanding and application of local peony index, Planning and Policy, 116-121.
  9. Kang, Y., Yoon, E., Jung, J., 2007, A Study on the Delimitation of Census Output Areas in Korea, Journal of the Korean Urban Geographical Society, 10(1), 1-22. https://doi.org/10.23841/egsk.2007.10.1.1
  10. Kweon, I. and Ryu, S., 2005, Empirical Analysis of Unbalanced Population Distribution of Korea, Journal of Korea Planning Association 40(2), 23-32.
  11. Lee, S., Cho, D., Sohn, H. and Chae, M., 2010, A GIS-Based Method for Delineating Spatial Clusters : A Modified AMOEBA Technique, Journal of the Korean Geographical Society 45(4), 502-520.
  12. Min, S., Byun, P., Kim, S., Lee, S., Hwang, M., Cha, E., Kim, Y., and Lee, C., 2017, Prospects of National Territory by Demographic Change and Policy Implications, KRIHS, Sejong.
  13. MOLIT, 2018, "Check the changes in living conditions in our village with the 'National Monitoring Report'", Press release 2018.4.11.
  14. Nam, K. and Lee, S, 2001, A Study on Spatial Variation of Population Density and Potentials, Journal of Korea Planning Association 36(4), 57-76.
  15. National geographic information platform, http://map.ngii.go.kr, Accessed Feb. 2019.
  16. Openshaw, S., 1984. Ecological fallacies and the analysis of areal census data. Environment and planning A, 16(1), 17-31. https://doi.org/10.1068/a160017
  17. Park, J. and Yun, H., 2018. Spatio-temporal Changes of Regional Population and Modifable Spatial Unit Problem. The Journal of Humanities and Social science, 9(6), 117-127.
  18. Sim, J., Jung, D., You, E. and Park Y., 2016, The Study of Integrated Spatial Information Infrastructure for Supporting Agricultural and Rural Policy, Korea Rural Economic Institute, Naju.
  19. Statistical Geographic Information Service, http://sgis.kostat.go.kr, Accessed Feb. 2019.