Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics
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 …
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …
MapGPT: An autonomous framework for mapping by integrating large language model and cartographic tools
The mapping process generally involves intricate operations, such as symbol design, layout
design, and text annotation, demanding a high level of professional expertise. The high …
design, and text annotation, demanding a high level of professional expertise. The high …
Transferring multiscale map styles using generative adversarial networks
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 …
stylistic design criteria from existing maps or other visual art and transfer these styles to …
Automatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda
Tactile maps are essential tools for visually impaired people to comprehend space and to
support the simple pedestrian trips made difficult by their disability. Tactile maps are created …
support the simple pedestrian trips made difficult by their disability. Tactile maps are created …
Neural map style transfer exploration with GANs
S Christophe, S Mermet, M Laurent… - International Journal of …, 2022 - Taylor & Francis
ABSTRACT Neural Style Transfer is a Computer Vision topic intending to transfer the visual
appearance or the style of images to other images. Developments in deep learning nicely …
appearance or the style of images to other images. Developments in deep learning nicely …
Elevation models for reproducible evaluation of terrain representation
PJ Kennelly, T Patterson, B Jenny… - Cartography and …, 2021 - Taylor & Francis
This paper proposes elevation models to promote, evaluate, and compare various terrain
representation techniques. Our goal is to increase the reproducibility of terrain rendering …
representation techniques. Our goal is to increase the reproducibility of terrain rendering …
Programmable 2d arrangements for element texture design
H Loi, T Hurtut, R Vergne, J Thollot - ACM Transactions on Graphics …, 2017 - dl.acm.org
This article introduces a programmable method for designing stationary 2D arrangements
for element textures, namely textures made of small geometric elements. These textures are …
for element textures, namely textures made of small geometric elements. These textures are …
Cartographic continuum rendering based on color and texture interpolation to enhance photo-realism perception
C Hoarau, S Christophe - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
Graphic interfaces of geoportals allow visualizing and overlaying various (visually)
heterogeneous geographical data, often by image blending: vector data, maps, aerial …
heterogeneous geographical data, often by image blending: vector data, maps, aerial …
A change of theme: The role of generalization in thematic mapping
Cartographic generalization research has focused almost exclusively in recent years on
topographic mapping, and has thereby gained an incorrect reputation for having to do only …
topographic mapping, and has thereby gained an incorrect reputation for having to do only …
Minimum dimensions for cartographic symbology–history, rationale and relevance in the digital age
F Ledermann - International Journal of Cartography, 2023 - Taylor & Francis
This paper compiles guidelines for minimum dimensions of cartographic symbology from the
literature on map design for printed and digital maps. Such minimum dimensions are …
literature on map design for printed and digital maps. Such minimum dimensions are …