Abstract
Kriging is a group of geo-statistical techniques used to interpolate the value of a random field at an unobserved location from discrete observed values at nearby locations. Kriging has been developed to interpolate climate data as a probabilistic method. Kriging has been very popular in oceanic research used for predicting the variance of geographical conditions. However, it has been difficult to find a similar application in the built environment. This paper aims to uncover possibilities of using Kriging for built environment studies, specifically focusing 011 indoor light level. Kriging interpolates with the discrete point data of light level to the continuous field. This may suggest a new approach to save computational expenses with reasonable accuracy in comparison to physics based computational simulation results.
| Original language | English (US) |
|---|---|
| Pages | 2996-3001 |
| Number of pages | 6 |
| State | Published - 2013 |
| Externally published | Yes |
| Event | 13th Conference of the International Building Performance Simulation Association, BS 2013 - Chambery, France Duration: Aug 26 2013 → Aug 28 2013 |
Other
| Other | 13th Conference of the International Building Performance Simulation Association, BS 2013 |
|---|---|
| Country/Territory | France |
| City | Chambery |
| Period | 8/26/13 → 8/28/13 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Modeling and Simulation