Les méthodes d'interpolation pour données sur zones
Le résumé en français n'a pas été communiqué par l'auteur. === The combination of several socio-economic data bases originating from different administrative sources collected on several different partitions of a geographic zone of interest into administrative units induces the so called a...
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ndltd-theses.fr-2015TOU100192019-09-06T03:21:01Z Les méthodes d'interpolation pour données sur zones Areal interpolation methods Méthodes d'interpolation Le résumé en français n'a pas été communiqué par l'auteur. The combination of several socio-economic data bases originating from different administrative sources collected on several different partitions of a geographic zone of interest into administrative units induces the so called areal interpolation problem. This problem is that of allocating the data from a set of source spatial units to a set of target spatial units. At the European level for example, the EU directive ’INSPIRE’, or INfrastructure for Spatial InfoRmation, encourages the states to provide socio-economic data on a common grid to facilitate economic studies across states. In the literature, there are three main types of such techniques: proportional weighting schemes, smoothing techniques and regression based interpolation. We propose a theoretical evaluation of these statistical techniques for the case of count related data. We find extensions of some of these methods to new cases : for example, we extend the ordinary dasymetric weightingmethod to the case of an intensive target variable Y and an extensive auxiliary quantitative variable X and we introduce a scaled version of the Poisson regression method which satisfies the pycnophylactic property. We present an empirical study on an American database as well as an R-package for implementing these methods. Electronic Thesis or Dissertation Text en http://www.theses.fr/2015TOU10019/document Do, Van Huyen 2015-06-15 Toulouse 1 Thomas-Agnan, Christine Vanhems, Anne |
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Méthodes d'interpolation |
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Méthodes d'interpolation Do, Van Huyen Les méthodes d'interpolation pour données sur zones |
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Le résumé en français n'a pas été communiqué par l'auteur. === The combination of several socio-economic data bases originating from different administrative sources collected on several different partitions of a geographic zone of interest into administrative units induces the so called areal interpolation problem. This problem is that of allocating the data from a set of source spatial units to a set of target spatial units. At the European level for example, the EU directive ’INSPIRE’, or INfrastructure for Spatial InfoRmation, encourages the states to provide socio-economic data on a common grid to facilitate economic studies across states. In the literature, there are three main types of such techniques: proportional weighting schemes, smoothing techniques and regression based interpolation. We propose a theoretical evaluation of these statistical techniques for the case of count related data. We find extensions of some of these methods to new cases : for example, we extend the ordinary dasymetric weightingmethod to the case of an intensive target variable Y and an extensive auxiliary quantitative variable X and we introduce a scaled version of the Poisson regression method which satisfies the pycnophylactic property. We present an empirical study on an American database as well as an R-package for implementing these methods. |
author2 |
Toulouse 1 |
author_facet |
Toulouse 1 Do, Van Huyen |
author |
Do, Van Huyen |
author_sort |
Do, Van Huyen |
title |
Les méthodes d'interpolation pour données sur zones |
title_short |
Les méthodes d'interpolation pour données sur zones |
title_full |
Les méthodes d'interpolation pour données sur zones |
title_fullStr |
Les méthodes d'interpolation pour données sur zones |
title_full_unstemmed |
Les méthodes d'interpolation pour données sur zones |
title_sort |
les méthodes d'interpolation pour données sur zones |
publishDate |
2015 |
url |
http://www.theses.fr/2015TOU10019/document |
work_keys_str_mv |
AT dovanhuyen lesmethodesdinterpolationpourdonneessurzones AT dovanhuyen arealinterpolationmethods |
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1719243936145342464 |