Numeric Scalar Values vs. Categories Information

Each layer represents the distribution of an attribute on the surface of the 3D model. Layers can hold two kinds of attributes: Numeric scalar values or Labels/categories.

Scalar attributes are useful to store numeric values such as measures, classifications, tagging, etc. On the other hand, Labels or Categories attributes hold an user-defined set of data fields including different kinds of data: strings, numeric values, dates or files.

Raster Data

In CHiSEL any information or data related to a particular object is organized in two different kinds of data layers: raster and vector. Raster layers allow to bind information to small parts of the 3D surface. This partition is determined by a set of cells whose size could be previously configured.