scholarly journals Adjusted functional boxplots for spatio-temporal data visualization and outlier detection

2011 ◽  
Vol 23 (1) ◽  
pp. 54-64 ◽  
Author(s):  
Ying Sun ◽  
Marc G. Genton
Keyword(s):  
Outlier Detection ◽  
Data Visualization ◽  
Temporal Data ◽  
Spatio Temporal

Outlier highlighting for spatio-temporal data visualization

2013 ◽  
Vol 40 (3) ◽  
pp. 165-171 ◽  
Author(s):  
Ulla Pyysalo ◽  
Juha Oksanen
Keyword(s):  
Data Visualization ◽  
Temporal Data ◽  
Spatio Temporal

scholarly journals "What Happened Here!?" A Taxonomy for User Interaction with Spatio-Temporal Game Data Visualization

2021 ◽  
Vol 5 (CHI PLAY) ◽  
pp. 1-27
Author(s):  
Erica Kleinman ◽  
Nikitha Preetham ◽  
Zhaoqing Teng ◽  
Andy Bryant ◽  
Magy Seif El-Nasr
Keyword(s):  
Data Visualization ◽  
User Study ◽  
User Interaction ◽  
Future Research ◽  
Temporal Data ◽  
Making Meaning ◽  
Visualization System ◽  
Formal Taxonomy ◽  
Spatio Temporal ◽  
Data Visualizations

Currently, there is no formal taxonomy for the activities that users engage in when interacting with and making meaning from spatio-temporal game data visualizations. As data visualization, especially spatio-temporal visualization, becomes more popular for game data analytics, it becomes increasingly crucial that we develop a formal understanding of how users, especially players, interact with and extract meaning from game data using these systems. However, existing taxonomies developed for InfoVis are not directly applicable due to domain differences and a lack of consensus within the literature. This paper presents the beginnings of a taxonomy for user interaction with spatio-temporal data specific to the domain of games, developed from the results of a qualitative user study (n=7) in which experienced players were tasked with using a spatio-temporal visualization system to explore and understand telemetry data from Defense of the Ancients 2 (DotA 2). The taxonomy includes seven activities organized into three categories: Data Interaction, Sense Making, and Validation. We discuss the implications of these activities on design and future research.

scholarly journals RESEARCH ON CONSTRUCTION OF SPATIO-TEMPORAL DATA VISUALIZATION PLATFORM FOR GIS AND BIM FUSION

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 555-563
Author(s):  
S. Q. Dou ◽  
H. H. Zhang ◽  
Y. Q. Zhao ◽  
A. M. Wang ◽  
Y. T. Xiong ◽  
...  
Keyword(s):  
Data Visualization ◽  
Feasible Solution ◽  
Smart Cities ◽  
Spatial Scales ◽  
Technical Support ◽  
Virtual Simulation ◽  
Twin Cities ◽  
Temporal Data ◽  
Data Platform ◽  
Spatio Temporal

Abstract. The visualization model of GIS and BIM fusion can provide data bearing platform and main technical support for future urban operation centers, digital twin cities, and smart cities. Based on the analysis of the features and advantages of GIS and BIM Fusion, this paper proposes a construction method of the spatio-temporal data visualization platform for GIS and BIM Fusion. It expounds and analyzes the overall architecture design of platform, multi-dimensional and multi-spatial scales visualization, space analysis for GIS and BIM fusion, and platform applications and so on. The urban virtual simulation spatio-temporal data platform project of Teda New District in Tianjin has verified and demonstrated that the effect of application is good. This provides a feasible solution for the construction of spatio-temporal Data Visualization Platform.

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