algorithmic modeling for Rhino
Data mining and visualisation of Colombian Climate Data
Announcing a forthcoming workshop to be held at the 2017 Design Modelling Symposium in Paris September 16 -17.
Image: 3d annual charts
The eco-envolventes group at Universidad de Piloto recently acquired hourly, climatic data for the last ten years from hundreds of weather stations around Colombia. Previously only data from a single weather station (Bogota) was openly available. Computationally driven, climate responsive design was complicated as the country experiences a huge range of climatic conditions within relatively small distances. These variations are due to a combination of the tropical location, changes in altitude due to the Andes, coastal exposure to both the Pacific Ocean and Caribbean Sea and the influence of the South American land mass. The combination of a lack of climatic data and the geographic context mean that basic, well documented low-energy bioclimatic design strategies are underutilised in the region.
Our goals for the workshop are to work collaboratively with participants and to explore the data and seek new ways of understanding the relationships between human comfort, climate and low-energy design strategies. This is immediately applicable to Colombia but extends to other tropical regions that have similar climatic and topographic conditions and data availability constraints. Particularly we aim to give participants the opportunity to develop new dynamic visualization tools, accessible to specialist and non-specialist audiences that lead to a better understanding of climatic data and the built environment.
Tristan Kershaw, University of Bath