Gem_Faceted_Taxonomy - jcgomezz/Building_taxonomy GitHub Wiki
GEM intended to propose a common language to describe building stock worldwide. In addition to being a scheme for classification of buildings worldwide, the GEM Building Taxonomy also allows for creation of a unique description (code) for a building or building typology, based on the 12 different attributes that correspond to specific building characteristics which affect its seismic performance.
The GEM Building Taxonomy consists of the different various building characteristics that can be chosen for each attribute.
What are its characteristics?
-
Collapsible. A taxonomy is collapsible if taxonomic groups with different levels of details and significance can be combined and/or compacted and the resulting combinations still distinguish differences in seismic performance, while acknowledging some loss of precision.
-
Detailed. The taxonomy includes all features relevant to the seismic performance of a building located anywhere in the world. It aims to capture all aspects of seismic performance and estimation of possible losses for an entire building, including building dimensions and non-structural components.
-
Distinguishes differences in seismic performance. The taxonomy distinguishes earthquake-resistant structural systems from non-earthquake resistant systems, including the “before” and “after” states of common seismic retrofits and between “ductile" and "non-ductile” systems.
-
Flexible and extensible. All future data needs can’t be foreseen, so the taxonomy lends itself to changes and future extensions – i.e., be ‘growable’, attributes can be modified or added, for example to include new building typologies, and new attributes or characteristics can be added for example to facilitate use in a multi-hazard context.
-
International in scope. As far as possible the taxonomy is made appropriate for any region of the world. It does not privilege any one region but aims to be technically and culturally acceptable to all regions.
-
User-friendly. The taxonomy is meant to be straightforward, intuitive, and as easy to use as possible by both those collecting data, those arranging for its analysis and all end users.