Visualizing and interacting with geospatial networks: A survey and design space

S Schöttler, Y Yang, H Pfister… - Computer Graphics …, 2021 - Wiley Online Library
This paper surveys visualization and interaction techniques for geospatial networks from a
total of 95 papers. Geospatial networks are graphs where nodes and links can be …

Trust in maps: what we know and what we need to know

TJ Prestby - Cartography and Geographic Information Science, 2025 - Taylor & Francis
Maps have served as authoritative and trustworthy sources of geospatial information for
years. However, maps are increasingly being wielded to spread misinformation due to the …

GeoCamera: Telling stories in geographic visualizations with camera movements

W Li, Z Wang, Y Wang, D Weng, L **e, S Chen… - Proceedings of the …, 2023 - dl.acm.org
In geographic data videos, camera movements are frequently used and combined to present
information from multiple perspectives. However, creating and editing camera movements …

No grammar to rule them all: A survey of json-style dsls for visualization

AM McNutt - IEEE Transactions on Visualization and Computer …, 2022 - ieeexplore.ieee.org
There has been substantial growth in the use of JSON-based grammars, as well as other
standard data serialization languages, to create visualizations. Each of these grammars …

VA+ Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics

Z Huang, D Witschard, K Kucher… - Computer Graphics …, 2023 - Wiley Online Library
Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …

Topology density map for urban data visualization and analysis

Z Feng, H Li, W Zeng, SH Yang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Density map is an effective visualization technique for depicting the scalar field distribution
in 2D space. Conventional methods for constructing density maps are mainly based on …

Large-scale evaluation of topic models and dimensionality reduction methods for 2d text spatialization

D Atzberger, T Cech, M Trapp, R Richter… - … on Visualization and …, 2023 - ieeexplore.ieee.org
Topic models are a class of unsupervised learning algorithms for detecting the semantic
structure within a text corpus. Together with a subsequent dimensionality reduction …

Graphical enhancements for effective exemplar identification in contextual data visualizations

X Zhang, S Cheng, K Mueller - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An exemplar is an entity that represents a desirable instance in a multi-attribute
configuration space. It offers certain strengths in some of its attributes without unduly …

Towards more effective visualisations in climate services: good practices and recommendations

M Terrado, L Calvo, I Christel - Climatic Change, 2022 - Springer
Visualisations are often the entry point to information that supports stakeholders' decision-
and policy-making processes. Visual displays can employ either static, dynamic or …

Responsive matrix cells: A focus+ context approach for exploring and editing multivariate graphs

T Horak, P Berger, H Schumann… - … on Visualization and …, 2020 - ieeexplore.ieee.org
Matrix visualizations are a useful tool to provide a general overview of a graph's structure.
For multivariate graphs, a remaining challenge is to cope with the attributes that are …