spodt-class: Class '"spodt"' Spatial Oblique Decision Tree object

In SPODT: Spatial Oblique Decision Tree

Description

This class of objects is returned by the "spodt" function to represent a spatial oblique decision tree model.

Slots

racine:

Object of class "virtual.spodt" the root of the tree

R2:

Object of class "numeric" the explained variance coefficient issued from a split

partition:

Object of class "vector" the final partition issued from the "spodt" function

adj:

Object of class "matrix" adjacence matrix between spatial classes in a partition. Used for the grafting function

cl.grf:

Object of class "matrix" class matrix after grafting

sgmts.grf:

Object of class "matrix" border of each class to be grafted

brd:

Object of class "matrix" all spatial borders

Author(s)

Jean Gaudart, Nathalie Graffeo, Guillaume Barbet, Bernard Fichet, Roch Giorgi (Aix-Marseille University)

References

• Gaudart J, Graffeo N, Coulibaly D, Barbet G, Rebaudet S, Dessay N, Doumbo O, Giorgi R. SPODT: An R Package to Perform Spatial Partitioning. Journal of Statistical Software 2015;63(16):1-23. http://www.jstatsoft.org/v63/i16/

• Gaudart J, Poudiougou B, Ranque S, Doumbo O. Oblique decision trees for spatial pattern detection: optimal algorithm and application to malaria risk. BMC Medical Research Methodology 2005;5:22

• Gaudart J, Giorgi R, Poudiougou B, Toure O, Ranque S, Doumbo O, Demongeot J. Detection de clusters spatiaux sans point source predefini: utilisation de cinq methodes et comparaison de leurs resultats. Revue d'Epidemiologie et de Sante Publique 2007;55(4):297-306

• Fichet B, Gaudart J, Giusiano B. Bivariate CART with oblique regression trees. International conference of Data Science and Classification, International Federation of Classification Societies, Ljubljana, Slovenia, July 2006.

See Also

spodt, spodt.tree, spodtSpatialLines, test.spodt

Examples

showClass("spodt")

SPODT documentation built on May 2, 2019, 9:43 a.m.