Do, Van Huyen, Thomas-Agnan, Christine and Vanhems, Anne (2013) Spatial reallocation of areal data - a review: Réaffectation spatiale de données surfaciques - revue bibliographique. , Toulouse

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Abstract

The analysis of socio-economic data often implies the combination of data bases
originating from different administrative sources so that data have been collected
on several separate partitions of the zone of interest into administrative units. It
is therefore necessary to reallocate the data from the source spatial units to the
target spatial units. We propose a review of the literature on statistical methods of
spatial reallocation rules (spatial interpolation). Indeed one can distinguish several
types of reallocation depending on whether the initial data and the final output
are areal data or point data. We concentrate here on the areal-to-areal change of
support case when initial and final data have an areal support with a particular
attention to disaggregation for continuous data. There are three main types of
such techniques: proportional weighting schemes also called dasymetric methods,
smoothing techniques and regression based interpolation.

Item Type: Monograph (Working Paper)
Sub-title: Réaffectation spatiale de données surfaciques - revue bibliographique
Language: English
Date: March 2013
Place of Publication: Toulouse
Uncontrolled Keywords: areal interpolation, interpolation spatiale surfacique, spatial disaggregation, désaggrégation spatiale, pycnophylactic property, propriété pycnophylactique, change of support, changement de support, polygon overlay problem, problème de superposition de polygones
JEL Classification: C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
C31 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
C53 - Forecasting and Other Model Applications
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 09 Jul 2014 17:35
Last Modified: 02 Apr 2021 15:48
OAI Identifier: oai:tse-fr.eu:27177
URI: https://publications.ut-capitole.fr/id/eprint/15612

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