The goal of this thesis is to enable non-expert users to visually analyse time varying data, directly linked to their environment. Standard methods from scientific visualization are designed for expert users and are not relevant here. The adaptation of the visualisation to the level of knowledge of the user is one of the main challenges of this subject. The temporal properties of the data provide another challenge, especially when multiple time scales must be taken into account. The choice of an augmented reality approach, in which the visualization is linked to images of the environment, will help lay users to perceive the data in space and time. Practical applications of this project include amont others the visualization of energy consumption in a private home.