The past decade has witnessed the rapid development of geospatial artificial intelligence
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …

The availability of open data and of tools to create visualizations on top of these open
datasets have led to an ever-growing amount of geovisualizations on the Web. There is thus …

This article provides a review of the current state of science regarding cartographic
interaction, a complement to the traditional focus within cartography on cartographic …

The advancement of the Artificial Intelligence (AI) technologies makes it possible to learn
stylistic design criteria from existing maps or other visual art and transfer these styles to …

Map generalisation is a process that transforms geographic information for a cartographic at
a specific scale. The goal is to produce legible and informative maps even at small scales …

This paper focuses on learning complex polyline generalization. First, the requirements for
sampled images to ensure the effective learning of complex polyline generalization are …

The current pace of technological innovation in web mapping offers new opportunities and
creates new challenges for web cartographers. The continual development of new …

In this article, we present a collective research agenda for mobile-first and responsive
cartographic design. The research agenda explicitly focuses on challenges regarding …

The availability of spatial data on the web has greatly increased through the availability of
user-generated community data and geosensor networks. The integration of such multi …

Readability is a major issue with all maps. In this study, we evaluated whether we can
predict map readability using analytical measures, both single measures and composites of …