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An Evaluation of Space Time Cube Representation of Spatiotemporal Patterns
2009
IEEE Transactions on Visualization and Computer Graphics
Space time cube representation is an information visualization technique where spatiotemporal data points are mapped into a cube. ...
These results provide an empirical foundation for the hypothesis that space time cube representation benefits users analyzing complex spatiotemporal patterns. ...
Fig. 2 shows an example of space time cube representation. ...
doi:10.1109/tvcg.2008.194
pmid:19423892
fatcat:6gotqdc5wrg2hpj46gewqwlkua
The Trade-offs with Space Time Cube Representation of Spatiotemporal Patterns
[article]
2007
arXiv
pre-print
Space time cube representation is an information visualization technique where spatiotemporal data points are mapped into a cube. ...
These results provide an empirical foundation for the hypothesis that space time cube representation benefits users when analyzing complex spatiotemporal patterns. ...
Further, it motivates research and evaluation of new space time cube representations for a plethora of application domains. ...
arXiv:0707.1618v1
fatcat:d43fqirrqvbufitljrt6wjvmbq
Feasibility of the Space–Time Cube in Temporal Cultural Landscape Visualization
2018
ISPRS International Journal of Geo-Information
The performance of the space-time cube was compared with another spatiotemporal visualization technique and measured in terms of correctness, response time, and satisfaction. ...
This paper considers the milestone documents for the representation of cultural heritage, and proposes a workflow for assessing the feasibility of the space-time cube concept in landscape representation ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi7060209
fatcat:c6jbi7alyzflvn2hta4b5slicu
Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces
2018
ISPRS International Journal of Geo-Information
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 ...
Stories are an essential mode, not only of human communication-but also of thinking. ...
Acknowledgments: The authors want to thank the team of the APIS project at the Austrian Center of Digital Humanities (ACDH) in Vienna, as well as Günther Schreder and Saminu Salisu for contributing to ...
doi:10.3390/ijgi7030096
fatcat:qj7yr5ws3jakfikpnwqb4saumm
Activity shapes: towards a spatiotemporal analysis in architecture
2014
Revista de Arquitectura
in space and time. ...
Through this study, we initiate the discussion of including human activity as an input that will change the focus of current computational spatial analyses toward a detailed understanding of activity patterns ...
All the quantitative analytical methods are based on the representation of the activity space as an array of spatial units. ...
doi:10.5354/0719-5427.2012.32550
fatcat:dngeug7ydrhmzp7wweqah5qwdm
Assessing the Cartographic Visualization of Moving Objects
2011
Momona Ethiopian Journal of Science
Four representations are considered in this research: the single static map, multiple static maps, animation, and the space-time cube. ...
In the rest, animation has equal suitability with one or more of the other methods, except for path at Level 2 where the space-time cube is most suitable. ...
Kristensson et al (2007) , however, argued that the actual usefulness of the space-time cube representation in revealing complex spatiotemporal patterns has not been empirically validated. ...
doi:10.4314/mejs.v3i1.63687
fatcat:s27vrt5g4fhipkweenmtokruvq
Sparse Spatiotemporal Descriptor for Micro-Expression Recognition Using Enhanced Local Cube Binary Pattern
2020
Sensors
The proposed Enhanced LCBP is composed of three complementary binary features containing Spatial Difference Local Cube Binary Patterns (Spatial Difference LCBP), Temporal Direction Local Cube Binary Patterns ...
In this paper, a sparse spatiotemporal descriptor for micro-expression recognition is developed by using the Enhanced Local Cube Binary Pattern (Enhanced LCBP). ...
Acknowledgments: Thanks for the help of reviewers and editors.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s20164437
pmid:32784460
fatcat:uobhiomcfvh4lcbr633f3mrsua
The spatiotemporal multivariate hypercube for discovery of patterns in event data
2012
2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
Research into visual analytics tools to support the discovery of patterns in event data often focuses on the spatiotemporal or spatiomultivariate dimension of the data only. ...
In this poster, we present an event visualization, transition, and interaction framework that enables an integral view on all dimensions of spatiotemporal multivariate event data. ...
As argued by Gatalsky et al. in their plea for the space-time cube [1] , selection and filtering operations on the spatial and temporal dimensions create a sort of 'space slices' or 'time slices' which ...
doi:10.1109/vast.2012.6400536
dblp:conf/ieeevast/OlislagersW12
fatcat:lrb6slznzjhaljthrkmvkjwn7m
Directional-layered space-time densities: a new spatiotemporal trajectory aggregation and geographic visualization approach
2020
IEEE Access
Thus, the movement of a moving object can be represented as a 3D polyline in a space-time cube. ...
In this article, we propose a new space-time aggregation algorithm, i.e., directional-layered space-time densities (DLSTDs), to solve the problem of trajectory clutter in a space-time cube. ...
space-time density and helpful for recognizing the spatiotemporal movement patterns of interest. ...
doi:10.1109/access.2020.3045805
fatcat:uv5q4osw45chhdu5tcfi6h32xq
Visual Exploration of Eye Movement Data Using the Space-Time-Cube
[chapter]
2010
Lecture Notes in Computer Science
This paper proposes an approach that enables the use of the Space-Time-Cube (STC) for representation of eye movement recordings. ...
Eye movement recordings produce large quantities of spatiotemporal data, and are more and more frequently used as an aid to gain further insight into human thinking in usability studies in GIScience domain ...
An alternative visual representation is the Space-Time-Cube (STC), which is the most prominent element in Hägerstrand's space-time model [34] . The STC combines time and space in a natural way. ...
doi:10.1007/978-3-642-15300-6_21
fatcat:gtwt433xnfd6thvsp3fy7tpsva
Understanding City Dynamics through Spatio-temporal Visualization
[article]
2013
Eurographics Workshop on Urban Data Modelling and Visualisation
In this paper we describe and evaluate three representation approaches for spatiotemporal data, to understand which is better to convey the dynamics of a city at a glance. ...
Based on the results from the evaluation with users we noticed that they preferred the 2D visualization of the data, but on the other hand there was no significant difference to the 3D representation. ...
of patterns both in space and time. ...
doi:10.2312/udmv/udmv13/037-040
fatcat:vz3wcjd6dzdpzi7dvbikbduxva
Spatio-temporal data warehouse design for human activity pattern analysis
2004
Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.
It is illustrated on a space-time human activity survey database within the framework of a European IST project 1 . ...
Unlike conventional data where attributes are simple values (numerical or textual), object motion defines a continue variation in space and time. ...
The hierarchical views of space and time allow global analysis and mapping of general trend for mobility pattern. Moreover, it puts forward other dimensions than space and time. ...
doi:10.1109/dexa.2004.1333576
dblp:conf/dexaw/SavaryWZ04
fatcat:on4golr46ncrveorsnqohh42eu
Optimizing and accelerating space–time Ripley 's K function based on Apache Spark for distributed spatiotemporal point pattern analysis
2020
Future generations computer systems
With increasing point of interest (POI) datasets available with fine-grained spatial and temporal attributes, space-time Ripley's K function has been regarded as a powerful approach to analyze spatiotemporal ...
Nevertheless, previous works have not extended optimization of Ripley's K function from space dimension to space-time dimension. ...
point pattern, the space-time Ripley's K function is evaluated for a large number of simulations. ...
doi:10.1016/j.future.2019.11.036
fatcat:qg3gbsz645an7dklbg26qrktxe
Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity
2010
Pattern Recognition Letters
Information retrieval from spatiotemporal data cubes is key to earth system sciences. ...
Here we propose an integrated approach of subsignal extraction and dimensionality reduction to extract geographical gradients on multiple time scales. ...
Our primary goal is the construction of a low-dimensional representation of the observations, such that the inherent patterns of the data cube are extracted and become accessible. ...
doi:10.1016/j.patrec.2010.06.021
fatcat:m66v7hqr2rg2vnyqixni3na7gi
Determining Real-Time Patterns of Lightning Strikes from Sensor Observations
2021
Journal of Geovisualization and Spatial Analysis
Secondly, we demonstrate how the space time cube can be used to visualise unexpected and irregular transient events. ...
AbstractTransient spatiotemporal events occur within a short interval of time, in a particular location. ...
Secondly, we demonstrate an application of the Space Time Cube as a dynamic spatiotemporal visualisation environment, for visualising unexpected and irregular transient events. ...
doi:10.1007/s41651-020-00070-7
fatcat:7yb2y74drnda5bs7sz6v4blb5a
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