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Visualizing and interacting with geospatial networks: A survey and design space
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 …
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 …
years. However, maps are increasingly being wielded to spread misinformation due to the …
GeoCamera: Telling stories in geographic visualizations with camera movements
In geographic data videos, camera movements are frequently used and combined to present
information from multiple perspectives. However, creating and editing camera movements …
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 …
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
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 …
especially within the field of visual analytics, have mentioned the term “embedding” when …
Topology density map for urban data visualization and analysis
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 …
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
Topic models are a class of unsupervised learning algorithms for detecting the semantic
structure within a text corpus. Together with a subsequent dimensionality reduction …
structure within a text corpus. Together with a subsequent dimensionality reduction …
Graphical enhancements for effective exemplar identification in contextual data visualizations
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 …
configuration space. It offers certain strengths in some of its attributes without unduly …
Towards more effective visualisations in climate services: good practices and recommendations
Visualisations are often the entry point to information that supports stakeholders' decision-
and policy-making processes. Visual displays can employ either static, dynamic or …
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
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 …
For multivariate graphs, a remaining challenge is to cope with the attributes that are …