Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
권호 표지

An Evaluation of Spatial Interpolation of Statistical Information Using Dasymetric Mapping

밀도구분도 매핑을 이용한 통계정보 공간 내삽의 유효성 평가

  • 이병길 (한경대학교 토목공학과)
  • Published : 2006.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

For integrating and utilizing the statistical data, which is summarized by arbitrary areal unit such as demographics, with stellite imagery or other GIS data, areal unit of both data should be accorded. Dasymetric mapping is proposed as a useful method fur disaggregating the aggregated statistical data to finer areal unit or generating surface model from object data such as polygonal area. This research evaluate the effectiveness of dasymetric mapping by 1) summarizing the yellow page information by administrative district, 2) modeling the business density using dasymetric mapping, and 3) comparing the business densities of raw data and that of spatial interpolation result.

인구통계와 같이 임의의 공간 단위로 집계되는 통계자료를 위성영상이나, 여타 다른 GIS 도형정보와 통합하여 활용하기 위해서는 상호간의 공간 단위를 일치시켜야 한다. 밀도구분도 매핑 기법은 집성된 통계자료를 분해하여 세밀한 공간 단위로 나누거나, 행정구역과 같은 객체 단위의 데이터를 연속된 표면 모델로 만드는데 적용 가능한 기법으로 제안되고 있다. 본 연구에서는 밀도구분도 매핑의 유효성을 평가하기 위해 1) 연구대상지역의 사업체 정보를 행정동 단위의 통계로 집계하고, 2) 행정동 통계에 밀도구분도 매핑 기법을 적용하여 사업체의 분포를 구하고, 3) 공간 내삽에 의해 구해진 사업체의 분포와 원 정보로부터 구해진 분포를 비교하여 알고리즘의 성능을 평가하였다.

Keywords

References

  1. Bracken I. and Martin D. (1989), The generation of spatial population distributions from census centroid data, Environment and Planning, Vol. 21, pp. 537-543. in Mennis J. (2003), Generating surface models of population usingdasymetric mapping, The Professional Geographer, Vol. 55, No.1, pp. 31-42
  2. Flowerdew R. and Green M. (1992), Developments in areal interpolation methods and GIS, Annals of Regional Science, Vol. 26, pp. 67-78. in Mennis J. (2003), Generating surface models of population using dasymetric mapping, The Professional Geographer, Vol. 55, No.1, pp. 31-42
  3. Hultgren T. (2004), Raster-based automated dasymetric mapping, UCGIS 2004, http://www.ucgis.org/ucgisfall2004/studentpapers/files/hultgren.pdf
  4. Hutchinson C.F. (1982), Techniques for combining Landsat and ancillary data for digital classification improvement, Photogrammetric Engineering and Remote Sensing, Vol. 48, pp. 123-130
  5. Langford M., Maguire D., and Unwin D. (1991), The areal interpolation problem: Estimating population using remote sensing in a GIS framework, Handling Geographical Information: Methodology and Potential Applications, ed I, Masser and M. Blakemore, pp. 55-77., Longman, London
  6. Langford M. and Unwin D. (1994), Generating and mapping population density surfaces within a geographic information system, The Cartographic Journal, Vol. 31, pp. 21-26. in Mennis J. (2003), Generating surface models of population using dasymetric mapping, The Professional Geographer, Vol. 55, No.1, pp. 31-42
  7. Mennis J. (2003), Generating surface models of population using dasymetric mapping, The Professional Geographer, Vol. 55, No.1, pp. 31-42
  8. Mesev V. (1998), The use of census data in urban image classification, Photogrammetric Engineering and Remote Sensing, Vol. 55, pp. 31-42
  9. Openshaw S. (1983), The modifiable areal unit problem, Concepts and Techniques in Modem Geography, 38. Geo Books, Norwich, UK