1,794 research outputs found
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 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 attributes, time, and uncertainty. Our
overview analyzes existing techniques along four dimensions: i) the
representation of geographical information, ii) the representation of network
information, iii) the visual integration of both, and iv) the use of
interaction. These four dimensions allow us to discuss techniques with respect
to the trade-offs they make between showing information across all these
dimensions and how they solve the problem of showing as much information as
necessary while maintaining readability of the visualization.
https://geonetworks.github.io.Comment: To be published in the Computer Graphics Forum (CGF) journa
The possibilities of visual spatial data analysis methods on human migration data.
The theme of this Master’s thesis is to research the possible methods for visual analysis of human migration. Precedents of analysis methods are considered as viable techniques that would successfully achieve a rewarding result if conducted on Finland´s migration database.
Human migration phenomenon can be analyzed with the visualization of spatial data. Spatial data visualization components such as spatial data, maps and methods are discussed with focus on human migration. Human migration data are a type of spatial data that are georeferenced so as to give a context in relation to a location in real world. Maps are geographical presentation interfaces used for visual analysis of migration data. Special purpose and thematic maps or the combination of both are deemed suitable for this task as they are able to portray the information desired.
Spatial data visualization techniques such as flow lines, flowstrates, map animation and space time cube are researched as tools for fully analyzing migration data. Flowstrates is a specialized visualization method that analyses the spatial and temporal dimensions of migration data by utilizing a combination technique of flow lines, timelines, and origin-destination matrices for the visualization of migration data. With this novel method, detailed information can be visualized on individual migration flow/route.
The result of this thesis are the examples of the most fitting visual analysis methods for migration data. These examples serve as the possible methods for analyzing actual migration data in Finland
A conceptual framework for developing dashboards for big mobility data
Dashboards are an increasingly popular form of data visualization. Large, complex, and dynamic mobility data present a number of challenges in dashboard design. The overall aim for dashboard design is to improve information communication and decision making, though big mobility data in particular require considering privacy alongside size and complexity. Taking these issues into account, a gap remains between wrangling mobility data and developing meaningful dashboard output. Therefore, there is a need for a framework that bridges this gap to support the mobility dashboard development and design process. In this paper we outline a conceptual framework for mobility data dashboards that provides guidance for the development process while considering mobility data structure, volume, complexity, varied application contexts, and privacy constraints. We illustrate the proposed framework’s components and process using example mobility dashboards with varied inputs, end-users and objectives. Overall, the framework offers a basis for developers to understand how informational displays of big mobility data are determined by end-user needs as well as the types of data selection, transformation, and display available to particular mobility datasets
The impact of urban road network morphology on pedestrian wayfinding behavior
During wayfinding pedestrians do not always choose the shortest available route. Instead, route choices are guided by several well-known wayfinding strategies or heuristics. These heuristics minimize cognitive effort and usually lead to satisfactory route choices. Our previous study evaluated the costs of four well-known pedestrian wayfinding heuristics and their variation across nine network morphologies. It was observed that the variation in the cost of these wayfinding heuristics increased with an increase in the irregularity of the network, indicating that people may opt for more diverse heuristics while walking through relatively regular networks, and may prefer specific heuristics in the relatively irregular ones. The study presented here aims to investigate this claim by comparing simulated routes with observed pedestrian trajectories in Beijing and Melbourne, two cities at opposite ends of the regularity spectrum. We found that the values of mean route length and mean Network Hausdorff Distance for walking trips made in Melbourne were consistently lesser than the corresponding values obtained in Beijing. Also, across both the cities, we found that while there was minimal variation in the popularity of heuristics overall, in cases where different heuristics produced dissimilar routes, the shortest leg first strategy and the least angle strategy were more popular
FlowMapper.org: A web-based framework for designing origin-destination flow maps
FlowMapper.org is a web-based framework for automated production and design
of origin-destination flow maps (https://flowmapper.org). FlowMapper has four
major features that contribute to the advancement of existing flow mapping
systems. First, users can upload and process their own data to design and share
customized flow maps. The ability to save data, cartographic design and map
elements in a project file allows users to easily share their data and
cartographic design with others. Second, users can customize the flow line
symbology by including options to change the flow line style, width, and
coloring. FlowMapper includes algorithms for drawing curved line styles with
varying thickness along a flow line, which reduces the visual cluttering and
overlapping by tapering flow lines at origin and destination points. The
ability to customize flow symbology supports different flow map reading tasks
such as comparing flow magnitudes and directions and identifying flow and
location clusters that are strongly connected with each other. Third,
FlowMapper supports supplementary layers such as node symbol, choropleth, and
base maps to contextualize flow patterns with location references and
characteristics such as net-flow, gross flow, net-flow ratio, or a locational
attribute such as population density. FlowMapper also supports user
interactions to zoom, filter, and obtain details-on-demand functions to support
visual information seeking about nodes, flows and regions. Finally, the
web-based architecture of FlowMapper supports server side computational
capabilities to process, normalize and summarize large flow data to reveal
natural patterns of flows
- …