Dasymetric Spatiotemporal Interpolation

Professional Geographer

Volumn 68, Issue 1, 2016, Pages 92-102

  Mennis, Jeremy ^a  

^a TEMPLE UNIVERSITY   (United States)

Author keywords

dasymetric; interpolation; population estimation; spatiotemporal

Indexed keywords

ACCURACY ASSESSMENT; CRIME; INTERPOLATION; POPULATION ESTIMATION; SPATIOTEMPORAL ANALYSIS;

EID: 84949625960     PISSN: 00330124     EISSN: 14679272     Source Type: Journal    
DOI: 10.1080/00330124.2015.1033669     Document Type: Article

References (36)

1. A.Appice,, A.Ciampi, D.Malerba, and P.Guccione. 2013. Using trend clusters for spatiotemporal interpolation of missing data in a sensor network. Journal of Spatial Information Science 6:119–53.
2. C.L.Eicher,, and C.A.Brewer. 2001. Dasymetric mapping and areal interpolation: Implementation and evaluation. Cartography and Geographic Information Science 28:125–38.
3. A.E.Gaughan,, F.R.Stevens, C.Linard, P.Jia, and A.J.Tatem. 2013. High resolution population distribution maps for southeast Asia in 2010 and 2015. PLoS ONE 8:e55882.
4. F.J.Goerlich,, and I.Cantarino. 2013. A population density grid for Spain. International Journal of Geographical Information Science 27:2247–63.
5. M.F.Goodchild,, L.Anselin, and U.Deichmann. 1993. A framework for the areal interpolation of socioeconomic data. Environment and Planning A 25:383–97.
6. M.F.Goodchild,, and N.S.Lam. 1980. Areal interpolation: A variant of the traditional spatial problem. Geo-Processing 1:297–312.
7. I.N.Gregory, 2002. The accuracy of areal interpolation techniques: Standardising 19th and 20th century census data to allow long-term comparisons. Computers Environment and Urban Systems 26:293–314.
8. I.N.Gregory,, and P.S.Ell. 2006. Error-sensitive historical GIS: Identifying areal interpolation errors in time-series data. International Journal of Geographical Information Science 20:135–52.
9. I.N.Gregory,, J.Marti-Henneberg, and F.J.Tapiador. 2010. Modelling long-term pan-European population change from 1870–2000 by using geographical information systems. Journal of the Royal Statistical Society: Series A 173:31–50.
10. J.T.Harvey, 2002. Estimating census district populations from satellite imagery: Some approaches and limitations. International Journal of Remote Sensing 23:2071–95.
11. S.I.Hay,, 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 10:1073–86.
12. M.Langford, 2013. An evaluation of small area population estimation techniques using open access ancillary data. Geographical Analysis 45:324–44.
13. S.Leyk,, B.P.Buttenfield, N.N.Nagle, and A.K.Stum. 2013. Establishing relationships between parcel data and land cover for demographic small area estimation. Cartography and Geographic Information Science 40:305–15.
14. S.Leyk,, N.N.Nagle, and B.P.Buttenfield. 2013. Maximum entropy dasymetric modeling for demographic small area estimation. Geographic Analysis 45:285–306.
15. L.Li,, and P.Revesz. 2004. Interpolation methods for spatio-temporal geographic data. Computers, Environment and Urban Systems 28:201–27.
16. X.Liu,, P.C.Kyriakidis, and M.F.Goodchild. 2008. Population density estimation using regression and area-to-point residual kriging. International Journal of Geographical Information Science 22:431–47.
17. J.A.Maantay,, A.R.Maroko, and X.Herrmann. 2007. Mapping population density in the urban environment: The cadastral-based expert dasymetric system (CEDS). Cartography and Geographic Information Science 34:77–102.
18. J.A.Maantay,, A.R.Maroko, and H.Porter-Morgan. 2008. A new method for mapping population and understanding the spatial dynamics of disease in urban areas: Asthma in the Bronx, New York. Urban Geography 29:724–38.
19. D.McDowall,, C.Loftin, and M.Pate. 2012. Seasonal cycles in crime, and their variability. Journal of Quantitative Criminology 28:389–410.
20. J.Mennis, 2003. Generating surface models of population using dasymetric mapping. The Professional Geographer 55:31–42.
21. ———. 2009. Dasymetric mapping for estimating population in small areas. Geography Compass 3:727–45.
22. J.Mennis,, and T.Hultgren. 2006. Intelligent dasymetric mapping and its application to areal interpolation. Cartography and Geographic Information Science 33:179–94.
23. R.Mrozinski,, Jr., and R.Cromley. 1999. Singly- and doubly-constrained methods of areal interpolation for vector-based GIS. Transactions in GIS 3:285–301.
24. N.N.Nagle,, B.P.Buttenfield, S.Leyk, and S.Spielman. 2014. Dasymetric modeling and uncertainty. Annals of the Association of American Geographers 104:80–95.
25. N.A.Perdue, 2013. The vertical space problem: Rethinking population visualizations in contemporary cities. Cartographic Perspectives 74:9–28.
26. A.Petrov, 2012. One hundred years of dasymetric mapping: Back to the origin. The Cartographic Journal 49:256–64.
27. J.H.Ratcliffe,, and M.J.McCullagh. 1998. Aoristic crime analysis. International Journal of Geographical Information Science 12 (7): 751–64.
28. M.Reibel,, and M.E.Bufalino. 2005. Street weighted interpolation techniques of demographic count estimation in incompatible zone systems. Environment and Planning A 37:127–29.
29. J.P.Schroeder,, and D.C.Van Riper. 2013. Because Muncie's densities are not Manhattan's: Using geographical weighting in the expectation-maximization algorithm for areal interpolation. Geographical Analysis 45:216–37.
30. W.Tobler, 1979. Smooth pychophylactic interpolation for geographical regions. Journal of the American Statistical Association 26:519–30.
31. N.S.Walford,, and K.N.Hayles, 2012. Thirty years of geographical (in)consistency in the British population census: Steps towards the harmonization of small-area census geography. Population, Space and Place 18:295–313.
32. World Health Organization. 2008. The global burden of disease: 2004 update. Geneva, Switzerland: World Health Organization.
33. J.K.Wright, 1936. A method of mapping densities of population. Geographical Review 26:103–10.
34. X.Yang,, W.Yue, and D.Gao. 2013. Spatial improvement of human population distribution based on multi-sensor remote-sensing data: An input for exposure assessment. International Journal of Remote Sensing 34:5569–83.
35. P.A.Zandbergen, 2011. Dasymetric mapping using high resolution address point datasets. Transactions in GIS 15 (Suppl. 1): 5–27.
36. P.A.Zandbergen,, and D.A.Ignizio. 2010. Comparison of dasymetric mapping techniques for small-area population estimates. Cartography and Geographic Information Science 37:199–213.