Virtual reality and estimating practice: A software selection model for estimating
Access Status
Authors
Date
2011Type
Metadata
Show full item recordCitation
Source Title
School
Collection
Abstract
Construction estimates are a product of rigorous data analysis involving sophisticated data from a diverse range of multi-disciplinary sources. These data, often voluminous, are of different quality and are set to achieve slightly different goals which are not necessarily identical to the goal of the estimator. They are also engineered in different technologies which an estimator must be able to manipulate in other to achieve substantial success. Virtual Reality (VR) is an example of contemporaneous practice innovations where estimators are likely to require new set of tools to: (1) ingrain their integration in VR processes, (2) perform their roles conventionally and contemporaneously, and (3) sustain their commitment to the future of digital transactions in the construction industry. This paper advances a process model for defining ad selecting estimating applications that work well in VR project.
Related items
Showing items related by title, author, creator and subject.
-
Sithole, Moses M. (1997)This thesis is mainly concerned with the estimation of parameters in autoregressive models with censored data. For convenience, attention is restricted to the first-order stationary autoregressive (AR(1)) model in which ...
-
Teunissen, Peter (2003)Abstract. In this invited contribution a brief review will be presented of the integer estimation theory as developed by the author over the last decade and which started with the introduction of the LAMBDA method in 1993. ...
-
Lo, Johnny Su Hau (2011)The determination of the zenith wet delay (ZWD) component can be a difficult task due to the dynamic nature of atmospheric water vapour. However, precise estimation of the ZWD is essential for high-precision Global ...