scholarly journals Webcharts – A Web-based Charting Library for Custom Interactive Data Visualization

2016 ◽  
Vol 4 ◽  
Author(s):  
Nathan Bryant ◽  
Jeremy Wildfire
Keyword(s):  
Data Visualization ◽  
Web Based ◽  
Interactive Data

scholarly journals An Interactive Data Visualization Framework for Exploring Geospatial Environmental Datasets and Model Predictions

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2928
Author(s):  
Jeffrey D. Walker ◽  
Benjamin H. Letcher ◽  
Kirk D. Rodgers ◽  
Clint C. Muhlfeld ◽  
Vincent S. D’Angelo
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Data Visualization ◽  
Large Scale ◽  
Research Management ◽  
Web Based ◽  
Environmental Models ◽  
Potential Benefits ◽  
Interactive Data ◽  
Data Visualizations

With the rise of large-scale environmental models comes new challenges for how we best utilize this information in research, management and decision making. Interactive data visualizations can make large and complex datasets easier to access and explore, which can lead to knowledge discovery, hypothesis formation and improved understanding. Here, we present a web-based interactive data visualization framework, the Interactive Catchment Explorer (ICE), for exploring environmental datasets and model outputs. Using a client-based architecture, the ICE framework provides a highly interactive user experience for discovering spatial patterns, evaluating relationships between variables and identifying specific locations using multivariate criteria. Through a series of case studies, we demonstrate the application of the ICE framework to datasets and models associated with three separate research projects covering different regions in North America. From these case studies, we provide specific examples of the broader impacts that tools like these can have, including fostering discussion and collaboration among stakeholders and playing a central role in the iterative process of data collection, analysis and decision making. Overall, the ICE framework demonstrates the potential benefits and impacts of using web-based interactive data visualization tools to place environmental datasets and model outputs directly into the hands of stakeholders, managers, decision makers and other researchers.

scholarly journals LiveStories

2018 ◽  
Vol 106 (2) ◽  
Author(s):  
Kelli Yakabu ◽  
Andrea Ball
Keyword(s):  
Data Visualization ◽  
Web Based ◽  
Public Data ◽  
Visualization Tools ◽  
Interactive Data ◽  
Data Library ◽  
Drag And Drop

LiveStories is a web-based storytelling platform that is equipped with interactive data visualization tools, drag-and-drop publishing, and its own public data library.

Interactive Data Visualization in Jupyter Notebooks

2021 ◽  
Vol 23 (2) ◽  
pp. 99-106
Author(s):  
Jorge Piazentin Ono ◽  
Juliana Freire ◽  
Claudio T. Silva ◽  
Joao Comba ◽  
Kelly Gaither
Keyword(s):  
Data Visualization ◽  
Interactive Data

scholarly journals Novel Interactive Data Visualization

Stroke ◽  
2018 ◽  
Vol 49 (1) ◽  
pp. 193-196 ◽  
Author(s):  
Matthew Brigdan ◽  
Michael D. Hill ◽  
Abhijeet Jagdev ◽  
Noreen Kamal
Keyword(s):  
Data Visualization ◽  
Interactive Data

Interactive Web‐based Data Visualization and Analysis Tool for Synthetizing on‐farm Research Networks Data

2020 ◽  
Author(s):  
Anabelle Laurent ◽  
Xiaodan Lyu ◽  
Peter Kyveryga ◽  
David Makowski ◽  
Heike Hofmann ◽  
...  
Keyword(s):  
Data Visualization ◽  
Analysis Tool ◽  
Research Networks ◽  
Web Based ◽  
On Farm

Visualizing Sixteen Years of Data About Portuguese Leisure-Cultural Activities

2012 ◽  
Vol 3 (2) ◽  
pp. 8-22
Author(s):  
Clarissa Rodrigues ◽  
Elizabeth Carvalho
Keyword(s):  
Data Visualization ◽  
Visual Cues ◽  
Leisure Time ◽  
Visual Representations ◽  
End User ◽  
Cultural Activities ◽  
Interactive Data ◽  
Visualization Techniques ◽  
Visualization Application

This paper describes an interactive data visualization application that aims to show how the Portuguese people spent culturally their leisure time between 1994 and 2009. The leisure trend is displayed to the end-user through the use of different visualization techniques and visual cues. The authors developed the visual representations based on the use of simple and regular visual shapes that could be easily combined, interpreted, memorized and used. To better evaluate their results, the authors tested their prototype against a preselected group of subjects.

Web-Based Data Visualization Platform for MATSim

2020 ◽  
Vol 2674 (10) ◽  
pp. 124-133
Author(s):  
Billy Charlton ◽  
Janek Laudan
Keyword(s):  
User Interface ◽  
Open Source ◽  
Data Visualization ◽  
Aggregate Level ◽  
Web Based ◽  
Client Server ◽  
Web Technologies ◽  
Front End ◽  
Advanced User ◽  
Simulation Results

There are many tools available for analyzing MATSim transport simulation results, both open-source and commercial. This research builds a new open-source visualization platform for MATSim outputs that is entirely web-based. After initial experiments with many different web technologies, a client-server platform design emerges which leverages the advanced user interface capabilities of modern browsers on the front-end, and relies on back-end server processing for more processor-intensive tasks. The initial platform is now operational and includes several aggregate-level visualizations including origin–destination flows, transit supply, and emissions levels as well as a fully disaggregate traffic animation visualization. These visualizations are general enough to be useful for various projects. Further work is needed to make them more compelling and the platform more useful for practitioners.

scholarly journals Facilitating Collaborative Analysis in SWAN

2019 ◽  
Vol 214 ◽  
pp. 07022
Author(s):  
Enrico Bocchi ◽  
Diogo Castro ◽  
Hugo Gonzalez ◽  
Massimo Lamanna ◽  
Pere Mato ◽  
...  
Keyword(s):  
Data Analysis ◽  
Special Kind ◽  
Service Model ◽  
Web Browser ◽  
Web Based ◽  
Single File ◽  
Cloud Storage Service ◽  
Collaborative Analysis ◽  
Interactive Data ◽  
The Ideal

SWAN (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a “software as a service” model. It is built upon the widely-used Jupyter notebooks, allowing users to write - and run - their data analysis using only a web browser. By connecting to SWAN, users have immediate access to storage, software and computing resources that CERN provides and that they need to do their analyses. Besides providing an easier way of producing scientific code and results, SWAN is also a great tool to create shareable content. From results that need to be reproducible, to tutorials and demonstrations for outreach and teaching, Jupyter notebooks are the ideal way of distributing this content. In one single file, users can include their code, the results of the calculations and all the relevant textual information. By sharing them, it allows others to visualize, modify, personalize or even re-run all the code. In that sense, this paper describes the efforts made to facilitate sharing in SWAN. Given the importance of collaboration in our scientific community, we have brought the sharing functionality from CERNBox, CERN’s cloud storage service, directly inside SWAN. SWAN users have available a new and redesigned interface where theycan share “Projects”: a special kind of folder containing notebooks and other files, e.g., like input datasets and images. When a user shares a Project with some other users, the latter can immediately see andwork with the contents of that project from SWAN.

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