Predicting and mapping the location of an estimated population from a survey: an applied method
On the basis of a survey conducted with elderly in the city of Luxembourg (N = 903) in 2002, this text presents a method aiming to predict the localisation of an estimated population liable to health relevant problematics. The main objective of this methodology is to aggregate individual information...
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Unité Mixte de Recherche 8504 Géographie-cités
2010
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oai:doaj.org-article:b67609fdeb3745a391f0d30c57d52dc22021-12-02T11:15:11ZPredicting and mapping the location of an estimated population from a survey: an applied method1278-336610.4000/cybergeo.22999https://doaj.org/article/b67609fdeb3745a391f0d30c57d52dc22010-03-01T00:00:00Zhttp://journals.openedition.org/cybergeo/22999https://doaj.org/toc/1278-3366On the basis of a survey conducted with elderly in the city of Luxembourg (N = 903) in 2002, this text presents a method aiming to predict the localisation of an estimated population liable to health relevant problematics. The main objective of this methodology is to aggregate individual information (point mapping) to produce discrete information (area mapping). This dimensional change is obtained by a projection procedure. This projection makes possible the mapping of the characteristics observed in the survey, at a fine scale and for the entire city.Philippe GerberSébastien FleuretMarc SchneiderUnité Mixte de Recherche 8504 Géographie-citésarticleelderlyGIShealthmappingsurveywellbeingGeography (General)G1-922DEENFRITPTCybergeo (2010) |
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DE EN FR IT PT |
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elderly GIS health mapping survey wellbeing Geography (General) G1-922 |
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elderly GIS health mapping survey wellbeing Geography (General) G1-922 Philippe Gerber Sébastien Fleuret Marc Schneider Predicting and mapping the location of an estimated population from a survey: an applied method |
description |
On the basis of a survey conducted with elderly in the city of Luxembourg (N = 903) in 2002, this text presents a method aiming to predict the localisation of an estimated population liable to health relevant problematics. The main objective of this methodology is to aggregate individual information (point mapping) to produce discrete information (area mapping). This dimensional change is obtained by a projection procedure. This projection makes possible the mapping of the characteristics observed in the survey, at a fine scale and for the entire city. |
format |
article |
author |
Philippe Gerber Sébastien Fleuret Marc Schneider |
author_facet |
Philippe Gerber Sébastien Fleuret Marc Schneider |
author_sort |
Philippe Gerber |
title |
Predicting and mapping the location of an estimated population from a survey: an applied method |
title_short |
Predicting and mapping the location of an estimated population from a survey: an applied method |
title_full |
Predicting and mapping the location of an estimated population from a survey: an applied method |
title_fullStr |
Predicting and mapping the location of an estimated population from a survey: an applied method |
title_full_unstemmed |
Predicting and mapping the location of an estimated population from a survey: an applied method |
title_sort |
predicting and mapping the location of an estimated population from a survey: an applied method |
publisher |
Unité Mixte de Recherche 8504 Géographie-cités |
publishDate |
2010 |
url |
https://doaj.org/article/b67609fdeb3745a391f0d30c57d52dc2 |
work_keys_str_mv |
AT philippegerber predictingandmappingthelocationofanestimatedpopulationfromasurveyanappliedmethod AT sebastienfleuret predictingandmappingthelocationofanestimatedpopulationfromasurveyanappliedmethod AT marcschneider predictingandmappingthelocationofanestimatedpopulationfromasurveyanappliedmethod |
_version_ |
1718396067702112256 |