Using semi-variance image texture statistics to model population densities

Cartography and Geographic Information Science

Volumn 33, Issue 2, 2006, Pages 127-140

  Wu, Shuo Sheng ^a   Qiu, Xiaomin ^a   Wang, Le ^a  

^a TEXAS STATE UNIVERSITY   (United States)

Author keywords

Dasymetric mapping; Population density; Population disaggregation

Indexed keywords

IMAGING TECHNIQUES; LAND USE; MAPPING; MATHEMATICAL MODELS; POPULATION STATISTICS; REGRESSION ANALYSIS;

DASYMETRIC MAPPING; IMAGE TEXTURE STATISTICS; POPULATION DENSITY; POPULATION DISAGGREGATION;

GEOGRAPHIC INFORMATION SYSTEMS;

LAND USE; MAPPING METHOD; NUMERICAL MODEL; POPULATION DENSITY; REGRESSION ANALYSIS;

EID: 33746894111     PISSN: 15230406     EISSN: None     Source Type: Journal    
DOI: 10.1559/152304006777681670     Document Type: Article

References (46)

1. Bian, L., and Z. Xie. 2004. A spatial dependence approach to retrieving industrial complexes from digital images. Professional Geographer 56(3): 381-93.
2. Bracken, I. 1991. A surface model approach to small area population estimation. Town Planning Review 62(2): 225-37.
3. Burke, R. 2003. Getting to know ArcObjects: Programming ArcGIS with VBA. Redlands, California: ESRI Press.
4. Burrough, P.A., and R. McDonnell. 1998. Principles of geographical information systems. New York, New York: Oxford University Press.
5. Chatterjee, S., A.S. Hadi, and B. Price. 2000. Regression analysis by example. New York, New York: Wiley.
6. COA (City of Austin). 2000. Land use survey methodology. [http:// www.ci.austin.tx.us/landuse/survey.htm; accessed March 22, 2006].
7. COA (City of Austin). 2005. City of Austin demographics. [http:// www.ci.austin.tx.us/census/; accessed March 22, 2006].
8. Dobson, J.E., E.A. Bright, P.R. Coleman, R.C. Durfee, and B.A. Worley. 2000. LandScan: A global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing 66(7): 849-57.
9. Eicher, C. L., and C. A. Brewer. 2001. Dasymetric mapping and areal interpolation: Implementation and evaluation. Cartography and Geographic Information Science 28(2): 125-38.
10. Fisher, P. F., and M. Langford. 1996. Modeling sensitivity to accuracy in classified imagery: A study of areal interpolation by dasymetric mapping. Professional Geographer 48(3): 299-309.
11. Flowerdew, R., and M. Green. 1989. Statistical methods for inference between incompatible zonal systems. In: Goodchild, M., and S. Gopal (eds), Accuracy of spatial databases. London, U.K.: Taylor and Francis. pp. 239-47.
12. Flowerdew, R., and M. Green. 1991. Data integration: Statistical methods for transferring data between zonal systems. In: Masser, I., and M. Blakemore (eds), Handling geographical information: Methodology and potential applications. New York, New York: Wiley. pp. 38-54.
13. Green, N.E., and R.B. Monier. 1959. Aerial photographic interpretation of the human ecology of the city. Photogrammetric Engineering 25: 770-3.
14. Harvey, J.T. 2002a. Estimating census district populations from satellite imagery: Some approaches and limitations. International Journal of Remote sensing 23(10): 2071-95.
15. Harvey, J.T. 2002b. Population estimation models based on individual TM pixels. Photogrammetric Engineering and Remote Sensing 68(11): 1181-92.
16. Hawley, K., and H. Moellering. 2005. A comparative analysis of areal interpolation methods. Cartography and Geographic Information Science 32(4): 411-23.
17. Holt, J. B., C. P. Lo, and T. W. Hodler. 2004. Dasymetric estimation of population density and areal interpolation of census data. Cartography and Geographic Information Science 31(2): 103-21.
18. Hsu, S.Y. 1971. Population estimation. Photogrammetric Engineering 37: 449-54.
19. Kraus, S.P., L.W. Senger, and J.M. Ryerson. 1974. Estimating population from photographically determined residential land use types. Remote Sensing of Environment 3(1): 35-42.
20. Langford, M., D. J. Maguire, and D. J. Unwin. 1991. The areal interpolation problem: Estimating population using remote sensing in a GIS framework. In: Masser, I., and M. Blakemore (eds), Handling geographical information: Methodology and potential applications. New York, New York: Wiley. pp. 55-77.
21. Longley, P., M. Goodchild, D. Maguire, and D. Rhind. 2005. Geographic information systems and science. New York, New York: Wiley.
22. Liu, X., and K.C. Clarke. 2002. Estimation of residential population using high resolution satellite imagery. In: Maktav, D., C. Juergens, and F. Sunar-Erbek (eds), Proceedings of the 3rd Symposium in Remote Sensing of Urban Areas, June 11-13, 2002. Istanbul, Turkey: Istanbul Technical University Press. pp. 153-60.
23. Liu, X., K.C. Clarke, and M. Herold. 2006. Population density and image texture: A comparison study. Photogrammetric Engineering & Remote Sensing 72(2): 187-96.
24. Lo, C. P. 1989. A raster approach to population estimation using high-altitude aerial and space photographs. Remote Sensing of Environment 27, no. 1: 59-71.
25. Lo, C. P. 1995. Automated population and dwelling unit estimation from high-resolution satellite images - A GIS approach. International Journal of Remote Sensing 16(1): 17-34.
26. Lo, C. P. 2003. Zone-based estimation of population and housing units from satellite-generated land use/land cover maps. In: Mesev, V. (ed.), Remotely sensed cities. New York, New York: Taylor & Francis. pp. 157-80.
27. Lo, C.P., and H.F. Chan. 1980. Rural population estimation from aerial photographs. Photogrammetric Engineering and Remote Sensing 46(3): 337-45.
28. Lo, C.P., and R. Welch. 1977. Chinese urban population estimates. Annals of the Association of American Geographers 67(2): 246-53.
29. Martin, D. 1989. Mapping population data from zone centroid locations. Transactions of the Institute of British Geographers 14(1): 90-7.
30. Martin, D. 1996. An assessment of surface and zonal models of population. International Journal of Geographical Information Systems 10(8): 973-89.
31. Mennis, J. 2003. Generating surface models of population using dasymetric mapping. Professional Geographer 55(1): 31-42.
32. Mitchell, A. 2005. The ESRI guide to GIS analysis. Redlands, California: ESRI Press.
33. O'Sullivan, D., and D. Unwin. 2003. Geographic information analysis. New York, New York: Wiley.
34. Prosperie, L., and R. Eyton. 2000. The relationship between brightness values from a nighttime satellite image and Texas county population. Southwestern Geographer 4: 16-29.
35. Rase, W. 2001. Volume-preserving interpolation of a smooth surface from polygon-related data. Journal of Geographical Systems 3(2): 199-213.
36. Reibel, M., and M.E. Bufalino. 2005. Street-weighted interpolation techniques for demographic count estimation in incompatible zone systems. Environment and Planning A 37(1): 127-39.
37. Tobler, W.R. 1969. Satellite confirmation of settlement size coefficients. Area 1(3): 30-4.
38. Tobler, W.R. 1979. Smooth pyncophylactic interpolation for geographical regions. Journal of the American Statistical Association 74(367): 519-30.
39. U.S. Census Bureau. 2000. The U.S. Census American FactFinder. [http:// factfinder.census.gov/home/saff/main.html?_lang=en; accessed August 8, 2005].
40. Weber, C. 1994. Per-zone classification of urban land use cover for urban population estimation. In: Foody, G. M., and P. J. Curran (eds), Environmental remote sensing from regional to global scales. New York, New York: Wiley. pp. 142-8.
41. Webster, C. J. 1996. Population and dwelling unit estimation from space. Third World Planning Review 18(2): 155-76.
42. Wright, J. K. 1936. A method of mapping densities of population. The Geographical Review 26(1): 103-10.
43. Wu, S., X. Qiu, and L. Wang. 2005. Population estimation methods in GIS and remote sensing: A review. GIScience & Remote Sensing 42(1): 58-74.
44. Wu, S., B. Xu, and L. Wang. 2006. Urban land use classification using variogram-based analysis with aerial photographs. Photogrammetric Engineering & Remote Sensing 72(7).
45. Yuan, Y., R. M. Smith, and W.F. Limp. 1997. Remodeling census population with spatial information from LandSat TM imagery. Computers, Environment and Urban Systems 21(3-4): 245-58.
46. Xie, Y. 1995. The overlaid network algorithms for areal interpolation problem. Computers Environment and Urban Systems 19(4): 287-306.