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Article Dans Une Revue Cybergeo : Revue européenne de géographie / European journal of geography Année : 2018

One way of adapting bidimensional regression to polygons: an example with spatial cognition

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Résumé

Bidimensional regression is a statistical method used to compare two surfaces. It is based on the adjustment of the positions of two clouds of homologous points structuring the two surfaces to compare. The results of the bidimensional regression only concern the clouds of points in question. The article presents a method to extend the results to polygons, especially in a mapping context. For this purpose, it complements the bidimensional regression by two successive interpolations. To illustrate its possibilities, the method is applied to the mapping of cognitive representations of forest fragments in Thierache (France).

Dates et versions

hal-03616664 , version 1 (22-03-2022)

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Frederic Roulier. One way of adapting bidimensional regression to polygons: an example with spatial cognition. Cybergeo : Revue européenne de géographie / European journal of geography, 2018, ⟨10.4000/cybergeo.29082⟩. ⟨hal-03616664⟩
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