Unmixing Aggregate Data: Estimating the Social Composition of Enumeration Districts

@article{Mitchell1998UnmixingAD,
  title={Unmixing Aggregate Data: Estimating the Social Composition of Enumeration Districts},
  author={Ryan Mitchell and D. J. Martin and Glles M. Foody},
  journal={Environment and Planning A},
  year={1998},
  volume={30},
  pages={1929 - 1941}
}
In this paper the authors address the problem of interpreting and classifying aggregate data sources and draw parallels between tasks commonly encountered in image processing and census analysis. Both of these fields already have a range of standard classification tools which are applied in such situations, but these are hindered by the aggregate nature of the input data. An approach to ‘unmixing’ aggregate data, and thus to revealing the nature of the subunit variation masked by aggregation… 

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References

SHOWING 1-10 OF 32 REFERENCES
The Mapping of Small-Area Census Data—A Consideration of the Role of Enumeration District Boundaries
TLDR
A study of Newcastle upon Tyne EDs shows that ED boundaries do not, in fact, mark the boundaries of distinct areas, and the presumption against the use of ED boundaries for cartographic representation is reinforced.
Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data
  • G. Foody
  • Environmental Science, Mathematics
  • 1996
TLDR
Remote sensing is an attractive source of data for land cover mapping applications, and when pixels may have multiple and partial class membership measures of the strength of class membership may be output and, if strongly related to the land cover composition, mapped to represent such fuzzy land cover.
The sample of anonymised records.
  • C. Marsh
  • Art
    ESRC Data Archive bulletin
  • 1991
The author describes the purchase of two samples of anonymized records from the 1991 United Kingdom census and the creation of a center at the University of Manchester to act both as distributor of
Classification of remotely sensed data by an artificial neural network: issues related to training data characteristics
TLDR
In this paper a feed-forward artificial neural network using a variant of the back-propagation learning algorithm was used to classify agricultural crops from synthetic aperture radar data, demonstrating the dependency of the two classification techniques on representative training samples and normally distributed data.
Introductory Digital Image Processing: A Remote Sensing Perspective
TLDR
Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications.
Class and Stratification. An Introduction to Current Debates
Introduction to the Second Edition. Introduction to the First Edition. Part I: Explaining Inequality: Introduction. Social Order and Theories of Social Differentiation. Stratification and the Debate
Introduction to remote sensing
This popular text introduces students to widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land use analysis. Providing
Generalization Performance of Overtrained Back-Propagation Networks
TLDR
The performance of the back-propagation (BP) algorithm is investigated under overtraining for three different tasks, finding that interpolation performance is shown to decrease with overtraining and size of the sample space.
Multi-Source Image Classification II: An Empirical Comparison of Evidential Reasoning and Neural Network Approaches
RESUMELes methodes classiques reconnues pour la classification d'images, comme la classification par maximum de vraisemblance, ne sont pas toujours appropriees pour traiter, de nos jours, les donnees
Backpropagation neural nets with one and two hidden layers
TLDR
Experimental results indicate that four-layered networks are more prone to fall into bad local minima, but that three- and four-Layered networks perform similarly in all other respects.
...
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