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NTIS 바로가기한국지역지리학회지 = Journal of the Korean Association of Regional Geographers, v.22 no.1, 2016년, pp.251 - 266
김화환 (Department of Geography, Chonnam National University)
Intelligent interpolation methods such as dasymetric mapping are considered to be the best way to disaggregate zone-based population data by observing and utilizing the internal variation within each source zone. This research reviews the advantages and problems of the dasymetric mapping method, and...
Cockings, S., P. F. Fisher, and M. Langford. 1997. Parameterization and Visualization of the Errors in Areal Interpolation. Geographical Analysis 29 (4):314-328.
Dobson, J. E., E. A. Bright, P. R. Coleman, and B. L. Bhaduri. 2003. LandScan: A global population database for estimating population at risk. In Remotely Sensed Cities, edited by V. Mesev. London: Taylor & Francis.
Eicher, C., and C. Brewer. 2001. Dasymetric mapping and areal interpolation: implementation and evaluation. Cartography and Geographic Information Science 28:125-138.
Fisher, P. F., and Mitchel Langford. 1996. Modeling sensitivity to accuracy in classified imagery: A study of areal interpolation. Professional Geographer 48 (3):299-309.
Fisher, Peter F., and M. Langford. 1995. Modelling the errors in areal interpolation between zonal systems by Monte Carlo Simulation. Environment & Planning A 27: 211-224.
Flowerdew, R., and M. Green. 1989. Statistical methods for inference between incompatible zonal systems. In The Accuracy of Spatial Databases, edited by M. F. Goodchild and S. Gopal. London: Taylor and Francis.
Flowerdew, R., and M. Green. 1994. Areal interpolation and types of data. In Spatial Analysis and GIS, edited by A. S. Fotheringham and P. Rogerson. London: Talyor & Francis.
Flowerdew, Robin, and Mick Green. 1992. Developments in areal interpolation methods and GIS. Annals of Regional Science 26 (1):67.
Fotheringham, A. Stewart, Chris Brunsdon, and Martin Charlton. 2002. Geographically weighted regression: the analysis of spatially varying relationships. Chichester: Wiley.
Garb, Jane L., Robert G. Cromley, and Richard B. Wait. 2007. Estimating Populations at Risk for Disaster Preparedness and Response. Journal of Homeland Security and Emergency Management 4 (1):1-17.
Goodchild, M. F., L. Anselin, and U. Deichmann. 1993. A framework for the areal interpolation of socioeconomic data. Environment and Planning A 25 (3):383-397.
Goodchild, M. F., and N. S. Lam. 1980. Areal Interpolation: A variant of the traditional spatial problem. Geo-Processing 1:297-312.
Gregory, I. N. 2002. The accuracy of areal interpolation techniques: standardising 19th and 20th century census data to allow long-term comparisons. Computers, Environment and Urban Systems 26 (4):293-314.
Hay, S. I., A. M. Noor, A. Nelson, and A. J. Tatem. 2005. The accuracy of human population maps for public health application. Tropical Medicine and International Health 10 (20): 1073-1086.
Holt, J. B., C. P. Lo, and Thomas W. Hodler. 2004. Dasymetric estimation of population density and areal interpolation of census data. Cartography and Geographic Information Science 31 (2):103-121.
Homer, Collin, Chengquan Huang, Limin Yang, Bruce Wylie, and Michael Coan. 2004. Development of a 2001 National Landcover Database for the United States. Photogrammetric Engineering and Remote Sensing 70 (7):829-840.
Homer, C.G., Dewitz, J.A., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J., Herold, N.D., Wickham, J.D., and Megown, K. 2015. Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing 81 (5):345-354
Huang, Y., and Y. Leung. 2002. Analysing Regional Industrialization in Jiangsu Province Using Geographically Weighted Regression. Journal of Geographical Systems 4:233-249.
Langford, M., D. J. Maguire, and D. J. Unwin. 1991. The areal interpolation problem: estimating population using remote sensing within a GIS framework. In Handling Geographical Information: Methodology and Potential Applications, edited by I. Masser and M. Blackmore. London: Longman.
Langford, M., and D. J. Unwin. 1994. Generating and mapping population density surfaces within a geographical information system. The Cartographic Journal 31 (June):21-25.
Langford, Mitchel. 2006. Obtaining population estimates in non-census reporting zones: An evaluation of the 3-class dasymetric method. Computers, Environment and Urban Systems 30 (2):161-180.
Langford, Mitchel. 2007. Rapid facilitation of dasymetric-based population interpolation by means of raster pixel maps. Computers, Environment and Urban Systems 31 (1):19-32.
Langford, Mitchel, and Gary Higgs. 2006. Measuring Potential Access to Primary Healthcare Services: The Influence of Alternative Spatial Representations of Population. Professional Geographer 58 (3):294-306.
Lo, C. 2008. Population Estimation Using Geographically Weighted Regression. GIScience & Remote Sensing 45 (2):131-148.
Martin, David. 1989. Mapping Population Data from Zone Centroid Locations. Transactions of the Institute of British Geographers 14 (1): 90-97.
Martin, David, Nicholas J. Tate, and Mitchel Langford. 2000. Refining Population Surface Models: Experiments with Northern Ireland Census Data. Transactions in GIS 4 (4):343.
McCleary, G. F., Jr. 1984. Cartography, geography and the dasymetric method. Paper read at 12th conference of international cartographic association, at Perth, Australia.
Mennis, J., and Torrin Hultgren. 2006. Intelligent Dasymetric Mapping and Its Application to Areal Interpolation. Cartography and Geographic Information Science 33 (3):179-194.
Mrozinski, R. D., and R. G. Cromley. 1999. Singly - and Doubly - Constrained Methods of Areal Interpolation for Vector-based GIS. Transactions in GIS 3 (3):285-301.
Reibel, M., and A Agrawal. 2007. Areal Interpolation of Population Counts Using Pre-classified Land Cover Data. Population Research and Policy Review 26:619-633.
Sadahiro, Y. 2000. Accuracy of Areal Interpolation: A Comparison of Alternative Methods. Journal of Geographical Systems 1 (4):323-346.
Sleeter, R. 2004. Dasymetric mapping techniques for the San Francisco bay region, California. Paper read at Urban and Regional Information Systems Association Annual Conference, November 7-10, 2004., at Reno, NV.
Tobler, W. 1979. Smooth pycnophylactic interpolation for geographic regions. Journal of the American Statistical Association 74 (367): 519-536.
Wu, S., X. Qiu, and L. Wang. 2005. Population estimation methods in GIS and remote sensing: A review. GIScience & Remote Sensing 42 (1):80-96.
Yang, Xiaojun, and C.P. Lo. 2002. Using a Time Series of Satellite Imagery to Detect Land Use and Land Cover Changes in the Atlanta, Georgia Metropolitan Area. International Journal of Remote Sensing 23 (9):1775-1798.
Yuan, Yew, Richard M. Smith, and W. Fredrick Limp. 1997. Remodeling census population with spatial information from LandSat TM imagery. Computers, Environment and Urban Systems 21 (3-4):245-258.
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