Abstract
Visualizations of 3D cadastral information incorporating both intrinsically spatial and non-spatial information are examined here. The design of a visualization prototype is linked to real-case 3D property information. In an interview with domain experts, the functional and visual features of the prototype are assessed. The choice of rendering attributes was identified as an important aspect for further analysis. A computational approach to systematic assessment of the consequences of different graphical design choices is proposed. This approach incorporates a colour similarity metric, visual saliency maps, and k-nearest-neighbour (kNN) classification to estimate risks of confusing or overlooking relevant elements in a visualization. The results indicate that transparency is not an independent visual variable, as it affects the apparent colour of 3D objects and makes them inherently more difficult to distinguish. Transparency also influences visual saliency of objects in a scene. The proposed analytic approach was useful for visualization design and revealed that the conscious use of graphical attributes, like combinations of colour, transparency, and line styles, can improve saliency of objects in a 3D scene.
Highlights
Formation of three-dimensional (3D) real properties consisting of volumes for dwellings and other constructions has gained increased interest as a tool for managing complex ownership and land use situations
The possibility to choose a level of transparency was deemed useful, and participants saw the need to control the transparency on their own, as different transparency levels might be required in different occasions, for different objects within the model as well as due to different impressions of different users
We implemented the calculation of colour similarity index (CSI) as MATLAB scripts to study the influence of transparency on the results of our visualizations
Summary
Formation of three-dimensional (3D) real properties consisting of (legal) volumes for dwellings (condominiums/ apartment units) and other constructions (such as parking facilities and tunnels) has gained increased interest as a tool for managing complex ownership and land use situations. The visualization of real property rights, restrictions, and responsibilities (RRR) in three dimensions has been the subject of several publications in recent years (Višnjevac et al 2019; Janečka et al 2018). Dimopoulou et al (2018), state that traditional two-dimensional footprint registration/visualization of rights may create confusion for users and misinterpretation of complex legal relationships. Janečka et al (2018) notice that registration and representation of legal objects in layers using 2.5D may be a temporary, but not final, solution, since it is difficult to obtain and visualize complete information about property rights relationships and that user-friendly tools for 3D analysis are still missing. This paper is an extension of research on the visualization of RRRs that was published in
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