Applying Level-of-detail and Perceptive Effects to 3D Urban Semantics Visualization

Abstract

Urban environment consists of various types of data, both geometric ones and non-geometric ones, among which urban semantics are important sources for non-geometric data. The modelling and visualization of urban semantics is one type of information visualization (InfoVis). In both 2D and 3D environment, a lot of work has been done, which use different kinds of representation forms to illustrate knowledge and information stored in the original abstract dataset. This paper aims to apply the idea of information level-of-detail (LoD) to urban semantics visualization and a text-based semantic database is built to illustrate how the idea works. Then in the implementation process, four perceptive factors for text visualization are chosen, while we mainly test, compare and analyse text size, aiming to better aid users find new knowledge and make decisions.