Multiple Correspondence Analysis for Highly Heterogeneous Data Fusion
نویسنده
چکیده
The aim of this 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 having described a case study on the cartography of Ambrosia artemisiifolia (common ragweed), currently investigated on the Urban Community of Montreal (Canada) territory, the authors will present an overview of the methods implemented for the digitalisation and interpolation of data and discuss on methodological problems raised in the curse of the study. Finally, avenues for future research will conclude this paper.
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تاریخ انتشار 2000