Multiple correspondence analysis for highly heterogeneous data fusion. An example in urban quality of life assessment

Author

Maupin, P. ; Apparicio, P. ; Lepage, R. ; Solaiman, B.

Author_Institution

LIVIA, Ecole de Technol. Supererieure, Montreal, Que., Canada

Volume

2

fYear

2000

fDate

10-13 July 2000

Abstract

The aim of the paper is to present the preliminary results obtained through a composite data processing system using multiple correspondence analysis in order to perform data fusion and deduce rules of spatial organisation. After describing a case study on the cartography of Ambrosia artemisiifolia (common ragweed), currently investigated on the Urban Community of Montreal (Canada) territory, the authors present an overview of the methods implemented for the digitalisation and interpolation of data and discuss methodological problems raised in the course of the study. Finally, avenues for future research conclude the paper.

Keywords

cartography; geographic information systems; sensor fusion; town and country planning; Ambrosia artemisiifolia; Canada; Urban Community of Montreal; cartography; case study; common ragweed; composite data processing system; data fusion; data interpolation; highly heterogeneous data fusion; methodological problems; multiple correspondence analysis; spatial organisation rules; urban quality of life assessment; Assembly; Computational Intelligence Society; Data analysis; Data processing; Instruments; Interpolation; Performance analysis; Public healthcare; Quality management; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on

Conference_Location

Paris, France

Print_ISBN

2-7257-0000-0

Type

conf

DOI

10.1109/IFIC.2000.859867

Filename

859867