Leila De Floriani's research while affiliated with Loyola University Maryland and other places

Publications (6)

Conference Paper
Full-text available
Cartographic sounding selection, the process of identifying navigationally relevant soundings for chart-display, is a time-consuming generalization process in the chart production workflow. Advances in bathymetric data collection and processing techniques are resulting in higher resolution data, which compounds the bottleneck of sounding selection....
Article
Full-text available
This work presents a novel shoal-bias, label-based generalization algorithm that utilizes the physical dimensions of the symbolized depth values on charts to avoid the over-plot of depth labels at scale. Additionally, validation tests based on cartographic constraints for nautical charting are implemented to compare the results of the proposed algo...
Conference Paper
A common first step in the terrain processing pipeline of large Triangulated Irregular Networks (TINs) is simplifying the TIN to make it manageable for further processing. The major problem with TIN simplification algorithms is that they create or remove critical points in an uncontrolled way. Topology-aware operators have been defined to solve thi...
Article
Unstructured data are collections of points with irregular topology, often represented through simplicial meshes, such as triangle and tetrahedral meshes. Whenever possible such representations are avoided in visualization since they are computationally demanding if compared with regular grids. In this work, we aim at simplifying the encoding and p...
Conference Paper
Full-text available
This work presents a bathymetric data generalization algorithm based on depth labels rendered at scale. It aims to facilitate the final cartographic sounding selection for chart portrayal through the process referred to as hydrographic sounding selection. Currently, automated algorithms for hydrographic soundings selection rely on radius-and grid-b...

Citations

... Their proposed grid and hexagon textures have the benefit that they can be easily adapted for use in all ECDIS modes, however, as the (DQWG, 2019a) points out, the textures for the different QoBD levels "are not intuitive and add considerable clutter". Particularly, for the visualization of QoBD 4 and QoBD 5, the utilized line spacing and opacity of the textures interfere with the perception of depth labels (the reader is referred to International Hydrographic Organization (2014) and Dyer et al. (2022) for details on depth label dimensions in ECDIS). ...