대한공간정보학회지 (Journal of Korean Society for Geospatial Information Science)

  • 제22권3호
  • /
  • Pages.31-37
  • /
  • 2014
  • /
  • 1598-2955(pISSN)
  • /
  • 2287-6693(eISSN)
대한공간정보학회 (Korea Spatial Information Society)
권호 표지
DOI QR코드

DOI QR Code

'전' 지목 필지에 대한 공시지가와 일사량의 상관성 분석

Evaluating Cross-correlation between Officially Land Price and Solar Radiation for Agricultural Field Parcels

  • Joo, Seung Min (Dept. of Spatial Information, Kyungpook National University) ;
  • Choi, Jin Ho (Dept. of Spatial Information, Kyungpook National University) ;
  • Shin, Hye Jin (Dept. of Spatial Information, Kyungpook National University) ;
  • Um, Jung Sup (Department of Geography, Kyungpook National University)
  • 투고 : 2014.07.07
  • 심사 : 2014.08.11
  • 발행 : 2014.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

'전' 지목 필지의 공시지가는 농지의 생산성을 반영하는 자연조건이 정량화되지 못한 채 감정평가사의 주관적 판단에 의거하여 산정되어 왔다. 특히 일사량의 경우 농산물의 생산속도, 생산량, 질을 결정하는 핵심변수이지만 고려되지 않고 있다. 본 연구에서는 GIS기반 일사량 시뮬레이션을 활용하여 농지 중 '전' 지목의 현행공시지가와 일사량 간의 관련성을 분석하였다. 그 결과 일사량이 높은 지역임에도 불구하고 공시지가가 낮게 나타나고, 일사량이 낮지만 공시지가가 높게 나타나는 사례가 상당히 많음을 확인하였다. 본 연구가 농지의 공시지가 산정과정에서 있어 객관적인 데이터에 의거한 가격결정이 아닌 직관에 의존하여 왔던 관행을 개선될 수 있는 계기가 되어 향후 전 지목에 대한 감정평가에서 기술적인 측면이나 정책적인 측면에서 중요한 참고자료가 될 수 있을 것으로 사료된다.

It is usual for the officially land price of agricultural field parcels to be determined by real estate appraisers's experienced knowledge and intuition without considering quantitatively physical factors that directly influence agricultural productivity. Solar radiation is the most important predictor of agricultural productivity. GIS based simulation techniques were used to evaluate correlation between the officially land price and solar radiation for agricultural field parcels. The results show that officially land price shows random distribution patterns in relation to solar radiation, which proves that officially land price for agricultural field does not reflect agricultural productivity. It is anticipated that this research output could be used as a valuable reference to support more scientific and objective decision-making in the official pricing process of agricultural field parcels.

키워드

참고문헌

  1. Bang, K. S., 2011, Appraisal criteria, Korea Association of research society.
  2. Choi, Y. H., Park, K. S., and Kang, 2010, Effects of greenhouse orientation on the greenhouse environment and the growth of tomato in forcing culture, The Korean Society for Bio-Environment Control, Vol.19, No.1, pp.6-11.
  3. Demetriades-Shah, T. H., Fuchs, M., Kanemasu, E. T., and Flitcroft, I., 1992, A note of caution concerning the relationship between cumulated intercepted solar radiation and crop growth. Agricultural and Forest Meteorology, Vol.58, No.3, pp.193-207. https://doi.org/10.1016/0168-1923(92)90061-8
  4. Eo, J. H., and Yoo, H. H., 2012, Characteristic Analysis of urban traffic noise in officially notified land price evaluation, The Korea Society For GeospatIal Information System, Vol.20, No.1, pp.101-107. https://doi.org/10.7319/kogsis.2012.20.1.101
  5. Hofierka, J., and Suri, M., 2002, The solar radiation model for open source GIS: implementation and applications, In Proceedings of the Open source GIS-GRASS users conference, pp.1-19.
  6. Janke, J. R., 2010, Multicriteria GIS modeling of wind and solar farms in colorado, Renewable Energy, Vol.35, No.10, pp.2228-2234. https://doi.org/10.1016/j.renene.2010.03.014
  7. Kang, I. J., Song, S. J., and Kang, H. Y., 2009, An analysis of public noticed land prices using GIS, The Korea Society For GeospatIal Information System, Vol.17, No.4, pp.121-125.
  8. Kim, J, S., and Lee, S. H., 2011, The influence of geographical features on analyzing the right to daylight, Journal of Korea Spatial Information Society, Vol.19, No.1, pp.21-28.
  9. Kim, I, H. 2009, Improving the grading indices for land suitability assessment, Journal of Korea Spatial Information Society, Vol.17, No.2, pp.201-212.
  10. Kumar, L., Skidmore, A. K., and Knowles, E., 1997, Modelling topographic variation in solar radiation in a GIS environment, Vol.11, No.5, pp.475-497. https://doi.org/10.1080/136588197242266
  11. Lacis, A. A., and Hansen, J., 1974, A parameterization for the absorption of solar radiation in the earth's atmosphere, Journal of the Atmospheric Sciences, Vol.31, No.1, pp.118-133. https://doi.org/10.1175/1520-0469(1974)031<0118:APFTAO>2.0.CO;2
  12. Min, T. U., 2010, Reconsideration of the land appraisal system based on the officially announced land price, Public land law review, Vol.51, pp.67-88.
  13. Ministry of Land, Transport and maritime affairs, 2011, Guide for Determining Appraised value of land.
  14. Park, J. K., Lee, I. Y., and Oh, Y. K., 2006, A study on the spatial analysis of GIS for appraisal value, Journal of Korean Society Of Cadastre, Vol.22, No.2, pp.143-152.
  15. Seo, K. K., 2008, A study of use zones and subdividing in real estate appraisal, Korea real estate review, Vol. 18, No.2, pp.9-26.
  16. Vandel, N., and Hegmen, W., 2007, Micro-climate solar modeling over complex terrain: a validation study or ESRI solar analyst, Technical Parers, ESRI User Conference Proceeding.