A cartographic modeling approach to isopleth mapping

References

• Berry, J.K., 1987. Fundamental operations in computer-assisted map analysis. International Journal of Geographical Information Systems, 1, 119–136. doi:10.1080/02693798708927799
   Google Scholar
• Buttenfield, B.P., Ruther, M., and Leyk, S., 2015. Exploring the impact of dasymetric refinement on spatiotemporal small area estimates. Cartography and Geographic Information Science, 42, 449–459. doi:10.1080/15230406.2015.1065206
   Web of Science ®Google Scholar
• Chrisman, N.R., 1998. Rethinking levels of measurement for cartography. Cartography and Geographic Information Science, 25, 231–242. doi:10.1559/152304098782383043
   Google Scholar
• Comber, A., Proctor, C., and Anthony, S. 2007. A combined pycnophylactic dasymetric method for disaggregating spatial data: the example of agricultural land use. In: Proceedings of the Geographical Information Science Research UK Conference, 11–13 April. Maynooth: National Centre for Geocomputation, National University of Ireland, 445–450.
   Google Scholar
• Dent, B.D., 1985. Principles of thematic map design. Reading, MA: Addison-Wesley.
   Google Scholar
• Dorling, D., 1996. Area cartograms: their use and creation. Concepts and Techniques in Modern Geography No. 59. Norwich: Environmental Publications.
   Google Scholar
• Eicher, C.L. and Brewer, C.A., 2001. Dasymetric mapping and areal interpolation: implementation and evaluation. Cartography and Geographic Information Science, 28, 125–138. doi:10.1559/152304001782173727
   Google Scholar
• Fisher, P.F. and Langford, M., 1995. Modelling the errors in areal interpolation between zonal systems by Monte Carlo simulation. Environment and Planning A, 27, 211–224. doi:10.1068/a270211
   Web of Science ®Google Scholar
• Gastner, M.T. and Newman, M.E.J., 2004. From the cover: diffusion-based method for producing density-equalizing maps. Proceedings of the National Academy of Sciences of the United States of America, 101, 7499–7504. doi:10.1073/pnas.0400280101
   PubMed Web of Science ®Google Scholar
• Goodchild, M. and Lam, N., 1980. Areal interpolation: variant of the traditional spatial problem. Geo-Processing, 1, 297–312.
   Google Scholar
• Goodchild, M.F. and Kemp, K.K., 1990. NCGIA core curriculum in GIS. Santa Barbara, CA: National Center for Geographic Information and Analysis, University of California.
   Google Scholar
• Goodchild, M.F., Yuan, M., and Cova, T.J., 2007. Towards a general theory of geographic representation in GIS. International Journal of Geographical Information Science, 21, 239–260. doi:10.1080/13658810600965271
   Web of Science ®Google Scholar
• Holt, J.B., Lo, C.P., and Hodler, T.W., 2004. Dasymetric estimation of population density and areal interpolation of census data. Cartography and Geographic Information Science, 31, 103–121. doi:10.1559/1523040041649407
   Google Scholar
• Jones, W., 1930. Ratios and isopleth maps in regional investigation of agricultural land occupance. Annals of the Association of American Geographers, 20, 178–195. doi:10.1080/00045603009356925
   Google Scholar
• Kim, H. and Yao, X., 2010. Pycnophylactic interpolation revisited: integration with the dasymetric-mapping method. International Journal of Remote Sensing, 31, 5657–5671. doi:10.1080/01431161.2010.496805
   Web of Science ®Google Scholar
• Lam, N., 1983. Spatial interpolation methods: a review. The American Cartographer, 10, 129–149. doi:10.1559/152304083783914958
   Web of Science ®Google Scholar
• Langford, M., 2006. Obtaining population estimates in non-census reporting zones: an evaluation of the 3-class dasymetric method. Computers, Environment and Urban Systems, 30, 161–180. doi:10.1016/j.compenvurbsys.2004.07.001
   Web of Science ®Google Scholar
• Langford, M., 2013. An evaluation of small area population estimation techniques using open access ancillary data. Geographical Analysis, 45, 324–344. doi:10.1111/gean.2013.45.issue-3
   Web of Science ®Google Scholar
• Langford, M., Maguire, D., and Unwin, D., 1991. The areal interpolation problem: estimating population using remote sensing in a GIS framework. In: I. Masser and M. Blakemore, eds. Handling geographical information. London: Longman, 55–77.
   Google Scholar
• Langford, M. and Unwin, D.J., 1994. Generating and mapping population density surfaces within a geographical information system. The Cartographic Journal, 31, 21–26. doi:10.1179/caj.1994.31.1.21
   PubMed Web of Science ®Google Scholar
• Leyk, S., et al., 2013. Establishing relationships between parcel data and land cover for demographic small area estimation. Cartography and Geographic Information Science, 40, 305–315. doi:10.1080/15230406.2013.782682
   Web of Science ®Google Scholar
• Leyk, S., et al., 2014. Modeling residential developed land in rural areas: a size-restricted approach using parcel data. Applied Geography, 47, 33–45. doi:10.1016/j.apgeog.2013.11.013
   Web of Science ®Google Scholar
• Lin, J., et al., 2013. Evaluating the use of publicly available remotely sensed land cover data for areal interpolation. GIScience & Remote Sensing, 50, 212–230.
   Web of Science ®Google Scholar
• Lin, J. and Cromley, R., in press. Inferring spatial scale change in an isopleth map. The Cartographic Journal. doi:10.1179/1743277414Y.0000000090
   Web of Science ®Google Scholar
• Lin, J., Cromley, R., and Zhang, C., 2011. Using geographically weighted regression to solve the areal interpolation problem. Annals of GIS, 17, 1–14. doi:10.1080/19475683.2010.540258
   Google Scholar
• Longley, P.A., et al., 2001. Geographic information systems and science. Chichester, NY: Wiley.
   Google Scholar
• Maantay, J., Maroko, A., and Herrmann, C., 2007. Mapping population distribution in the urban environment: the cadastral-based expert dasymetric system (CEDS). Cartography and Geographic Information Science, 34, 77–102. doi:10.1559/152304007781002190
   Google Scholar
• Mackay, J., 1951. Some problems and techniques in isopleth mapping. Economic Geography, 27, 1–9. doi:10.2307/141806
   Web of Science ®Google Scholar
• Mennis, J., 2003. Generating surface models of population using dasymetric mapping. The Professional Geographer, 55, 31–42.
   Web of Science ®Google Scholar
• Mennis, J. and Hultgren, T., 2006. Intelligent dasymetric mapping and its application to areal interpolation. Cartography and Geographic Information Science, 33, 179–194. doi:10.1559/152304006779077309
   Google Scholar
• Mrozinski, R. and Cromley, R., 1999. Singly- and doubly-constrained methods of areal interpolation for vector-based GIS. Transactions in GIS, 3, 285–301. doi:10.1111/tgis.1999.3.issue-3
   Google Scholar
• Nelson, J. and Brewer, C.A., in press. Evaluating data stability in aggregation structures across spatial scales: revisiting the modifiable areal unit problem. Cartography and Geographic Information Science. doi:10.1080/15230406.2015.1093431
   Web of Science ®Google Scholar
• Okabe, A. and Sudahiro, Y., 1997. Variation in count data transferred from a set of irregular zones to a set of regular zones through the point-in-polygon method. International Journal of Geographical Information Science, 11, 93–106. doi:10.1080/136588197242518
   Web of Science ®Google Scholar
• Olson, J.M., 1976. Noncontiguous area cartograms. The Professional Geographer, 28, 371–380. doi:10.1111/j.0033-0124.1976.00371.x
   Web of Science ®Google Scholar
• Robinson, A.H., et al., 1995. Elements of Cartography. New York: Wiley.
   Google Scholar
• Roth, R.E., Woodruff, A.W., and Johnson, Z.F., 2010. Value-by-alpha maps: an alternative technique to the cartogram. The Cartographic Journal, 47, 130–140. doi:10.1179/000870409X12488753453372
   PubMed Web of Science ®Google Scholar
• Slocum, T.A., et al., 2009. Thematic cartography and geovisualization. Upper Saddle River, NJ: Pearson Prentice Hall.
   Google Scholar
• Tapp, A., 2010. Areal interpolation and dasymetric mapping methods using local ancillary data sources. Cartography and Geographic Information Science, 37, 215–228. doi:10.1559/152304010792194976
   Web of Science ®Google Scholar
• Tobler, W.R., 1979. Smooth pycnophylactic interpolation for geographical regions. Journal of the American Statistical Association, 74, 519–530. doi:10.1080/01621459.1979.10481647
   PubMed Web of Science ®Google Scholar
• Tobler, W.R. and Lau, J., 1978. Isopleth mapping using histosplines. Geographical Analysis, X, 274–279.
   Google Scholar
• Tomlin, C.D., 2013. GIS and cartographic modeling. Redlands, CA: Esri Press.
   Google Scholar
• Worboys, M.F. and Duckham, M., 2004. GIS: a computing perspective. Boca Raton, FL: CRC Press.
   Google Scholar
• Wright, J.K., 1936. A method of mapping densities of population: with Cape Cod as an example. Geographical Review, 26, 103–110. doi:10.2307/209467
   Google Scholar
• Yoo, E.-H., Kyriakidis, P., and Tobler, W., 2010. Reconstructing population density surfaces from areal data: a comparison of Tobler’s pycnophylactic interpolation method and area-to-point kriging. Geographical Analysis, 42, 78–98. doi:10.1111/j.1538-4632.2009.00783.x
   Web of Science ®Google Scholar