Title :
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
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;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.859867
