Giraffe is more than just a data structure; it's an urban data ontology. This means it's a system of data organization that not only categorizes information but also defines the relationships and rules that govern these data entities. Think of it as a digital twin of the built environment, complete with its own set of "physics."
The core principle of ontology lies in defining the "being" of things. In Giraffe, this translates to establishing rules that govern the behavior of objects within the platform. For instance, a fundamental law in Giraffe's ontology is that two buildings cannot occupy the same physical space – a rule that mirrors the real world.
Unlike our universe, Giraffe's ontology doesn't include gravity. This simplified approach allows users to manipulate objects in the virtual environment without the constraints of real-world physics. However, key laws remain:
Taxonomy: Giraffe employs a taxonomy with types, subtypes, and classes to categorize data entities.
Rules: These categories follow predefined rules, ensuring deterministic behavior. If something is classified as a building, it can't overlap with another building.
Why Ontology Matters: The Power of Measurement
The complexity of establishing a robust ontology is deliberate. It's the foundation for accurate and reliable measurement. By creating a predictable digital environment, Giraffe enables users to extract precise data for various aspects of urban development.
This measurement capability is a key differentiator for Giraffe. The platform can accurately calculate:
Building area
Landscape area
Facade area
These measurements are not just numbers; they drive informed decision-making. Measurement is foundational to real estate development. Every historic development from the Egyptian pyramids to the Empire State building was dependent on measurement. These measurements inform engineering, demographics, finance, and even environmental impact assessments.