Intelligent Dasymetric Mapping and Its Application to Areal Interpolation

@article{Mennis2006IntelligentDM,
  title={Intelligent Dasymetric Mapping and Its Application to Areal Interpolation},
  author={Jeremy L. Mennis and Torrin Hultgren},
  journal={Cartography and Geographic Information Science},
  year={2006},
  volume={33},
  pages={179 - 194}
}
This research presents a new "intelligent" dasymetric mapping technique (IDM), which combines an analyst's domain knowledge with a data-driven methodology to specify the functional relationship of the ancillary classes with the underlying statistical surface being mapped. The data-driven component of IDM employs a flexible empirical sampling approach to acquire information on the data densities of individual ancillary classes, and it uses the ratio of class densities to redistribute population… Expand
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References

SHOWING 1-10 OF 47 REFERENCES
Dasymetric Mapping for Disaggregating Coarse Resolution Population Data
This research describes a new dasymetric mapping technique where population data are redistributed from choropleth map zones to dasymetric map zones based on a combination of areal weighting and theExpand
Generating Surface Models of Population Using Dasymetric Mapping
Abstract Aggregated demographic datasets are associated with analytical and cartographic problems due to the arbitrary nature of areal unit partitioning. This article describes a methodology forExpand
Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation
Dasymetric maps display statistical data in meaningful spatial zones. Such maps can be preferable to choropleth maps that show data by enumeration zones, because dasymetric zones more accuratelyExpand
A DASYMETRIC POPULATION DENSITY MAP OF POLAND
This paper presents research results on the dasymetric mapping method, the methodology adopted and a Dasymetric Population Density Map of the Northeastern Part of Poland. After studying certainExpand
Modelling the Errors in Areal Interpolation between Zonal Systems by Monte Carlo Simulation
TLDR
A Monte Carlo simulation method based on modifiable areal units is employed, which allows multiple interpolations of population to be conducted from a single set of source zones to numerous sets of target zones. Expand
A Comparative Analysis of Areal Interpolation Methods
Over the years many approaches to areal interpolation have been developed and utilized. They range from the simple 2-D areal weighing method which uses only the spatial Z variable being processed, toExpand
Remodeling census population with spatial information from LandSat TM imagery
Abstract In geographic information systems (GIS) studies there has been some difficulty integrating socioeconomic and physiogeographic data. One important type of socioeconomic data, census data,Expand
Accuracy of areal interpolation: A comparison of alternative methods
TLDR
A stochastic model is proposed which represents areal interpolations in diverse geographic situations and is used to examine the relationship between estimation accuracy and the spatial distribution of estimation error from a theoretical viewpoint. Expand
Dasymetric Estimation of Population Density and Areal Interpolation of Census Data
This paper describes techniques to compute and map dasymetric population densities and to areally interpolate census data using dasymetrically derived population weights. These techniques areExpand
The accuracy of areal interpolation techniques: Standardising 19th and 20th century census data to allow long-term comparisons.
The census has been collected in Britain since 1801 and has published detailed attribute data at district-level about the population since 1851. Comparing censuses over the long-term is, however,Expand
...
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2
3
4
5
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