The Multi-Layered Interval Categorizer Tesselation-Based Model
Marílton Sanchotene de Aguiar, Graçaliz Pereira Dimuro, Antônio Carlos da Rocha Costa, Rafael K. S. Silva, Fábia A. da Costa, Владик Крейнович · scholarworks - UTEP (The University of Texas at El Paso) · 2004
The paper presents the results obtained by an implementation of the interval tessellation-based model for categorization of geographic regions according to the analysis of the relief function declivity, called ICTM (Interval Categorizer Tessellation-based Model).The analysis of the relief declivity, which is embedded in the rules of the model, categorizes each tessellation cell, with respect to the whole considered region, according to the (positive, negative, null) sign of the declivity of the cell.Such information is represented in the states assumed by the cells of the model.The overall configuration of such cells allows the division of the region into sub-regions of cells belonging to the same category, that is, presenting the same declivity sign.In order to control the errors coming from the discretization of the region into tessellation cells, or resulting from numerical computations, interval techniques are used.