Visualizing and Interacting with Geospatial Networks: A Survey and Design Space

@article{Schttler2021VisualizingAI,
  title={Visualizing and Interacting with Geospatial Networks: A Survey and Design Space},
  author={Sarah Sch{\"o}ttler and Yalong Yang and Hanspeter Pfister and Benjamin Bach},
  journal={Computer Graphics Forum},
  year={2021},
  volume={40}
}
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 associated with geographic locations. Examples can include social networks, trade and migration, as well as traffic and transport networks. Visualizing geospatial networks poses numerous challenges around the integration of both network and geographical information as well as additional information such as node and link… 
GAN’SDA Wrap: Geographic And Network Structured DAta on surfaces that Wrap around
There are many methods for projecting spherical maps onto the plane. Interactive versions of these projections allow the user to centre the region of interest. However, the effects of such
Marble waste site suitability assessment using the GIS-based AHP model
TLDR
It was concluded that priority should be given to water bodies followed by agricultural land while protecting the available land use classes from marble waste hazards, and the proposed integrated model is helpful in site suitability for waste management by the authorities and decision-makers associated with waste management.
Revisiting the Design Patterns of Composite Visualizations
TLDR
This paper constructed a corpus of composite visualizations from IEEE VIS publications and decomposed them into a series of basic visualization types, and proposed a taxonomy consisting of eight different design patterns.
Spatial-Data-Driven Layouting for Brain Network Visualization
larvae. In a user study conducted with several domain experts, we demonstrate its relevance and validity, as well as its potential for neuroscientific
TrajectoryVis: a visual approach to explore movement trajectories
Social networks are a dominant data source for sharing, participation, and exchanging information. For example, Twitter is a microblogging site that enables users to express opinions by transmitting
Embodied gesture interaction for immersive maps
TLDR
This work explores the use of embodied interaction for immersive maps with a series of novel embodied gesture interactions that allow users to directly manipulate immersive flow maps and explore origin-destination flow data in novel ways.
From river flow to spatial flow: flow map via river flow directions assignment algorithm
TLDR
The evaluation results indicate that the flow maps generated by RFDA-FM can have a higher quality on uniform distribution of edge lengths and avoidance of self-intersections and acute angles by comparing to the existing approaches.
ProBGP: Progressive Visual Analytics of Live BGP Updates
TLDR
ProBGP is presented, a web‐based progressive approach to visually analyze BGP update routes and created a novel progressive data processing algorithm for the geographic approximation of autonomous systems and combined it with a progressively updating visualization.

References

SHOWING 1-10 OF 177 REFERENCES
Information-rich visualisation of dense geographical networks
Network information on geographical entities such as cities is frequently analysed numerically, but seldom visualised in an appealing form. Reasons for this include the absence of powerful software
Shifted Maps: Revealing spatio-temporal topologies in movement data
TLDR
Shifted Maps aims to bring maps and network visualizations together as equals to reveal and analyze diverse topologies in geospatial movement data.
Methods for Multilevel Analysis and Visualisation of Geographical Networks
This leading-edge study focuses on the latest techniques in analysing and representing the complex, multi-layered data now available to geographers studying urban zones and their populations. The
Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data
  • Diansheng Guo
  • Computer Science
    IEEE Transactions on Visualization and Computer Graphics
  • 2009
TLDR
The proposed approach can process relatively large data sets and effectively discover and visualize major flow structures and multivariate relations at the same time and is supported to facilitate the understanding of both an overview and detailed patterns.
3D geographic network displays
TLDR
Five novel network views are invented that retain many of the well-known advantages of the traditional network maps, while exploiting three-dimensional graphics to address some of the fundamental problems limiting the scalability of two-dimensional displays.
Review: visual analytics of climate networks
TLDR
The paper provides a problem analysis relating the multiple visualisation challenges to a survey undertaken with network analysts from the research fields of climate and complex systems science, and introduces the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis.
NodeTrix: a Hybrid Visualization of Social Networks
TLDR
NodeTrix is presented, a hybrid representation for networks that combines the advantages of two traditional representations: node-link diagrams are used to show the global structure of a network, while arbitrary portions of the network can be shown as adjacency matrices to better support the analysis of communities.
Overview with details for exploring geo-located graphs on maps
TLDR
This work introduces a method that uses insets to visualize details of small or remote areas and introduces a local area re-arrangement to prevent the subgraphs within insets from overplotting and edge crossing.
Spatial-social network visualization for exploratory data analysis
TLDR
This research introduces a spatial-social network visualization tool, the GeoSocialApp, that supports the exploration of spatial- social networks among network, geographical, and attribute spaces and supports exploration of network attributes from community-level (clustering) to individual- level (network node measures).
...
1
2
3
4
5
...