Spatio-Temporal Story Mapping Animation Based On Structured Causal Relationships Of Historical Events (original) (raw)

Cartographic animation and legends for temporal maps: Exploration and or interaction

Proceedings of the 18th …, 1997

Temporal cartographic animations are increasingly common. For users to understand a temporal animation, they must not only apply an appropriate spatial knowledge schema that allows them to interpret relative geographic location, they must also apply an appropriate temporal schema that allows them to interpret meaning inherent in the sequence and pacing of the animation. Similar to static maps, then, the animated maps should be accompanied by a legend that prompts an appropriate schema. However, with animation, the legends function, not only as an interpretation devices but also as a navigation tools. This paper describes potential legends for temporal animation and argues that choices among them should be made with regard to the nature of the temporal data. A test is proposed to assess the viability of the different legends.

Once Upon a Time in a Land Far Away: Guidelines for Spatio-Temporal Narrative Visualization

Creating a visualization that conveys a narrative requires choosing the dimensions and features that help tell the story. Time and space are two of these storytelling attributes which are commonly present in the story's structure. Thus, these should be considered in the creation process. Narrative Visualiza-tion is still a new field in Information Visualization research, and while there are guidelines for designing visualizations, specific ones for this new area are still lacking. Therefore, supported by previous research on broad recommendations for designing visualizations, we propose a specific set of guidelines to structure effective visual narratives divided into four decision categories: Intent, Spatio-temporal, Interaction, and Narrative Elements.

Exploring History with Narrative Timelines

We develop novel timeline interfaces which separate the events in timelines into threads and then allow users to select among them. This interface is illustrated with five threads describing the causes of the American Civil War. In addition to selecting each of the threads, the sequence of events it describes can be played. That is, the user can step through the sequence of events and get a description of each event in the context of its thread. In addition, many of the events have links to more focused timelines and to external resources such as Wikipedia.

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

Stories are an essential mode, not only of human communication—but also of thinking. This paper reflects on the internalization of stories from a cognitive perspective and outlines a visualization framework for supporting the analysis of narrative geotemporal data. We discuss the strengths and limitations of standard techniques for representing spatiotemporal data (coordinated views, animation or slideshow, layer superimposition, juxtaposition, and space-time cube representation) and think about their effects on mental representations of a story. Many current visualization systems offer multiple views and allow the user to investigate different aspects of a story. From a cognitive point of view, it is important to assist users in reconnecting these multiple perspectives into a coherent picture—e.g., by utilizing coherence techniques like seamless transitions. A case study involving visualizing biographical narratives illustrates how the design of advanced visualization systems can be cognitively and conceptually grounded to support the construction of an integrated internal representation.

Human interaction with animated maps: The portrayal of the passage of time

2007

Methods for interactive map animations are still in an early stage compared to more traditional cartography, and the potentials for improvements are significant. This paper focuses on better design for map animations, particularly for the portrayal of the information regarding the temporal dimension. A series of animations are presented and discussed and subsequently introduced to a wider group of people. In the responses from this group it was not possible to show any significant difference in how well people respond to the different animations, nevertheless people do have preferences for certain animation types depending on which time-scale they represent.

Defining visualization operations for temporal cartographic animation design

International journal of applied earth observation and …, 2002

Cartographic animation has emerged as a potentially effective visualization technique that has an intuitive power in representing dynamic geographical phenomena through its ability to show interrelations amongst geospatial data's components, location, attribute and time. Whereas cartographic animation has prominently featured in communicating geospatial information, their use as tools for visual exploration has been hampered by lack of the necessary functionality that is capable of allowing users to interact with the dynamic display. In this paper, we outline an approach that defines visualizations operations or basic visual actions that implement a viewer's task of exploration and characterization of geospatial structures in data or phenomena. The defined operations go along to reinforcing the quest in enabling users to perceive relationships and be able to manipulate geospatial data using more efficient visual tools while keeping low on cognitive demands.

Visualizing Spatio-Temporal data

2014

The amount of spatio-temporal data produced everyday has sky rocketed in the recent years due to the commercial GPS systems and smart devices. Together with this, the need for tools and techniques to analyze this kind of data have also increased. A major task of spatio-temporal data analysis is to discover relationships and patterns among spatially and temporally scattered events. However, most of the existing visualization techniques implement a top-down approach i.e, they require prior knowledge of existing patterns. In this dissertation, I present my novel visualization technique called Storygraph which supports bottom-up discovery of patterns. Since Storygraph presents and integrated view, analysis of events can be done with losing either of time or spatial contexts. In addition, Storygraph can handle spatio-temporal uncertainty making it ideal for data being extracted from text. In the subsequent chapters, I demonstrate the versatility and the effectiveness of the Storygraph al...

Storygraph: Extracting patterns from spatio-temporal data ABSTRACT

2013

Analysis of spatio-temporal data often involves correlating different events in time and location to uncover relationships between them. It is also desirable to identify different patterns in the data. Visualizing time and space in the same chart is not trivial. Common methods includes plotting the latitude, longitude and time as three dimensions of a 3D chart. Drawbacks of these 3D charts include not being able to scale well due to cluttering, occlusion and difficulty to track time in case of clustered events. In this paper we present a novel 2D visualization technique called Storygraph which provides an integrated view of time and location to address these issues. We also present storylines based on Storygraph which show movement of the actors over time. Lastly, we present case studies to show the applications of Storygraph.

Visualizing Historical Narratives: Geographically-Integrated History and Dynamics GIS

Position paper for the National Endowment for the Humanities workshop “Visualizing the Past: Tools and Techniques for Understanding Historical Processes,” 20-21 February 2009, University of Richmond, Virginia, USA Computational thinking has enabled many new scientific discoveries through the development of new algorithms, simulation models, visualization, and novel approaches to summarize the patterns and structure of complex systems. In contrast to the natural sciences, the historical social sciences (anthropology/archaeology, economics, geography, history, and sociology) pose additional challenges because data are often qualitative, vague, inconclusive, and highly uncertain. Existing computational methods reach their limits quickly with data for the historical social sciences. The authors are developing geographically-integrated history methods to overcome these limits by addressing the importance of "place" to integrate data as the foundation of knowledge creation about how humans, events, and environments were connected to form historical narratives within and across places. Narratives are considered one of the unique and effective forms of knowledge and communication. Narratives enhance the understanding of causality by relating it to time and place and of the exceptional, such as the emergence of new forms, and they illuminate the factors producing innovation and entrepreneurship. Dynamics GIS (geographic information systems) and related information and visualization technologies will provide the backbone for understanding geographically integrated complex systems within which social networks developed historically.

The History of Temporal Data Visualization and a Proposed Event Centric Timeline Visualization Model

International Journal of Computer Applications, 2013

Temporal data management has an ancient history. From the earliest days people are using timeline (a way of displaying a list of events in chronological order) to record their transaction data in a log file or table and often those files or tables are used by researchers to understand the events or trends of the transaction. The first attempt to illustrate chronological events graphically was made in 1765 and presently timeline is used ubiquitously. This paper attempts to explain the history and present state of timeline visualization and proposes a timeline visualization model that provides a new perspective on the existing models. We showed the development of timeline visualization of temporal data over decades, evaluated different techniques, connected and presented them in sequential order to justify the importance of our proposed technique. Our study is structured in three parts: First we discussed different methods of management and visualization of temporal data, then we showed the history and current state of timeline visualization and finally we proposed a timeline visualization technique. 1