Cartographic maps have been shown to provide cognitive benefits when interpreting data in
relation to a geographic location. In visualization, the term map‐like describes techniques …

Recent deep learning approaches to single image super-resolution have achieved
impressive results in terms of traditional error measures and perceptual quality. However, in …

Geographic Knowledge Engineering: Applications to Territorial Intelligence and Smart Cities
studies the specific nature of geographic knowledge and the structure of geographic …

The Sustainable Development Goals laid out in the UN 2030 Agenda, particularly Goal 11,
which seeks to create inclusive, safe, resilient, and sustainable cities and human …

In the last decade, there has been a growing awareness that the involvement of citizens in
decision making can produce an immediate and positive impact on actions to be taken, as …

Due to the increasing availability and openness of data from many countries worldwide,
visualizations of the COVID-19 pandemic that aim to track the virus over time and across …

Addressing complex interactions within water, energy, and food (WEF) resources, innovative
tools for in-depth analysis and decision-making are imperative. This study introduces …

We present an algorithm to compute schematic maps with circular arcs. Our algorithm
iteratively replaces two consecutive arcs with a single arc to reduce the complexity of the …

A map is a visual representation of a geographic region, depicting a number of elements
and features of the region. Elements may be geographic in nature—roads, rivers, buildings …

Traditionally schematised maps make extensive use of curves. However, automated
methods for schematisation are mostly restricted to straight lines. We present a generic …