Environmental Engineering Reference
In-Depth Information
Acknowledgments
Fisher, P. F., and Langford, M. (1996) Modeling sensitivity to
accuracy in classified imagery: A study of areal interpola-
tion by dasymetric mapping. Professional Geographer , 48 (3),
299 - 309.
Flowerdew, R. and Green, M. (1989) Statistical methods for
inference between incompatible zonal systems, in Accuracy of
Spatial Databases (eds M.F. Goodchild and S. Gopal), Taylor
& Francis, London, pp. 239 - 248.
Flowerdew, R., and Green, M. (1992). Developments in areal
interpolation methods and GIS. Annals of Regional Science , 26
(1), 67 - 78.
Flowerdew, R., and Green, M. (1994) Areal interpolation and
types of data, in Spatial Analysis and GIS (eds S. Fotheringham
and R. Rogerson), Taylor & Francis, London.
Flowerdew, R., Green, M, and Kehris, E. (1991) Using areal
interpolation methods in geographic information systems.
Papers in Regional Science: The Journal of the RSAI , 70 (3),
303 - 315.
Fotheringham, A.S., Brunsdon, C., and Charlton, M. (2002) Geo-
graphically weighted regression: the analysis of spatially varying
relationships , John Wiley & Sons, Chichester, UK.
Goodchild, M.F., Anselin, L., and Deichmann, U. (1993) A
framework for the areal interpolation of socioeconomic data.
Environment and Planning A , 25 (3), 383 - 397.
Goodchild, M.F., and Lam, N.S-N. (1980) Areal interpolation:
a variant of the traditional spatial problem. Geo-Processing , 1 ,
297 - 312.
Gotway, C.A., and Young, L.J. (2002) Combining incompatible
spatial data. Journal of the American Statistical Association , 97
(458), 632 - 648.
Gregory, I.N. (2002) The accuracy of areal interpolation
techiques: standardising 19th and 20th century census data
to all long-term comparisons. Computers, Environment and
Urban Systems , 26 , 293 - 314.
Harvey, J.T. (2002) Estimating census district populations from
satellite imagery: some approaches and limitations. Interna-
tional Journal of Remote Sensing , 23 (10), 2071 - 2095.
Hay, S.I., Noor, A.M., Nelson, A., and Tatem, A.J. (2005) The
accuracy of human population maps for public health appli-
cation. Tropical Medicine and International Health , 10 (10),
1073 - 1086.
Holloway, S.R., Schumacher, J., and Redmond, R. (1996) People
and place: Dasymetric mapping using Arc/Info. Missoula:
Wildlife Spatial Analysis Lab, University of Montana.
Holt, J.B., and Lo, C.P. (2008) The geography of mortality in
the Atlanta metropolitan area. Computers, Environment and
Urban Systems , 32 , 149 - 164.
Holt, J.B., Lo, C.P., and Hodler, T.W. (2004) Dasymetric estima-
tion of population density and areal interpolation of census
data. Cartography and Geographic Information Science , 31 (2),
103 - 121.
Howenstine, E. (1993) Measuring demographic change: the split
tract problem. The Professional Geographer , 45 (4), 425 - 430.
Kressler, F., and Steinnocher, K. (2008) Object-oriented analysis
of image and LiDAR data and its potential for a dasymetric
mapping application, in Object-Based Image Analysis: Spatial
Concepts for Knowledge-Driven Remote Sensing Applications
The authors wish to thank Mike Alexander, Research Division
Chief, Wei Wang, Senior Principal Planner, and Ryan Barrett, GIS
Analyst, from the Atlanta Regional Commission, Atlanta, GA, for
furnishing the LandPro 2001 LULC data; and Sharon Stevenson,
GISP, LIS Manager, and Sam A. Rape, Jr., IT GIS Administrator,
from the Gwinnett County GIS Department, Lawrenceville, GA,
for furnishing the Gwinnett County parcel data. The findings
and conclusions in this report are those of the authors and do
not necessarily represent the official position of the Centers for
Disease Control and Prevention.
References
Anderson, J.R., Hardy, E.E., Roach, J.T. and Witmer, R.E. (1976)
A land use and land cover classification system for use with
remote sensor data. United States Government Printing Office,
Washington, DC.
Bhaduri, B., Bright, E., Coleman, P. and Urban, M. (2007)
LandScan USA: a high-resolution geospatial and temporal
modeling approach for population distribution and dynamics.
GeoJournal , 69 (1), 103 - 117.
Boone, C.G. (2008) Improving resolution of census data in
metropolitan areas using a dasymetric approach: applications
for the Baltimore Ecosystem Study. Cities and the Environment ,
1 (1), 25.
Bracken, I., and Martin, D. (1989) The generation of spatial pop-
ulation distributions from census centroid data. Environment
and Planning A , 21 , 537 - 543.
Briggs, D. J., Gulliver, J., Fecht, D. and Vienneau, D. M. (2007)
Dasymetric modelling of small-area population distribution
using land cover and light emissions data. Remote Sensing of
Environment , 108 (4), 451 - 466.
Chen, K. P., McAneney, J., Blong, R., Leigh, R., Hunter, L.
and Magill, C. (2004) Defining area at risk and its effect in
catastrophe loss estimation: a dasymetric mapping approach
(vol 24, pg 97, 2004). Applied Geography , 24 (3), 259 - 259.
Comber, A., Proctor, C. and Anthony, S. (2008) The creation
of a national agricultural land use dataset: combining pycno-
phylactic interpolation with dasymetric mapping techniques.
Transactions in GIS , 12 (6), 775 - 791.
Crampton, J. (2004) GIS and geographic governance: recon-
structing the choropleth map. Cartographica: The International
Journal forGeographic InformationandGeovisualization , 39 (1),
41 - 53.
De Geer, S. (1926) Review: a population density map of European
Russia (Dazimetricheskaya Karta Evropeiskoi Rossii) (Carte
dasymetrique de la Russie d'Europe) by Benjamin Semenov-
Tian-Shansky. The Geographical Review , 16 , 341 - 343.
Eicher, C. L., and Brewer, C.A. (2001) Dasymetric Mapping and
Areal Interpolation: Implementation and Evaluation. Cartog-
raphy and Geographic Information Science , 28 , 125 - 138.
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