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The Trade-offs with Space Time Cube Representation of Spatiotemporal Patterns [article]

Per Ola Kristensson, Nils Dahlback, Daniel Anundi, Marius Bjornstad, Hanna Gillberg, Jonas Haraldsson, Ingrid Martensson, Matttias Nordvall, Josefin Stahl
2007 arXiv   pre-print
However, to our knowledge the actual usefulness of space time cube representation in conveying complex spatiotemporal patterns to users has not been empirically validated.  ...  For complex questions where the participants needed an overall understanding of the spatiotemporal structure of the dataset, the space time cube representation resulted in on average twice as fast response  ...  We provide empirical data that highlight the trade-offs in space time cube representation.  ... 
arXiv:0707.1618v1 fatcat:d43fqirrqvbufitljrt6wjvmbq

An Evaluation of Space Time Cube Representation of Spatiotemporal Patterns

P.O. Kristensson, N. Dahlback, D. Anundi, M. Bjornstad, H. Gillberg, J. Haraldsson, I. Martensson, M. Nordvall, J. Stahl
2009 IEEE Transactions on Visualization and Computer Graphics  
However, to our knowledge the actual usefulness of space time cube representation in conveying complex spatiotemporal patterns to users has not been empirically validated.  ...  For complex questions where the participants needed an overall understanding of the spatiotemporal structure of the data set, the space time cube representation resulted in on average twice as fast response  ...  The editor and the anonymous reviewers gave them many useful suggestions that they believe greatly improved the final manuscript.  ... 
doi:10.1109/tvcg.2008.194 pmid:19423892 fatcat:6gotqdc5wrg2hpj46gewqwlkua

4D Time Density of Trajectories: Discovering Spatiotemporal Patterns in Movement Data

Yebin Zou, Yijin Chen, Jing He, Gehu Pang, Kaixuan Zhang
2018 ISPRS International Journal of Geo-Information  
it difficult to visually discover the spatiotemporal patterns of movement.  ...  Time density is a measure of the frequency and intensity of a space use of a species, which is associated with the concept of utilization distribution, since the space use intensity is large for places  ...  Conflicts of Interest: The authors declare that they have no conflict of interest.  ... 
doi:10.3390/ijgi7060212 fatcat:edk4hkbdnrfhjbnbpbhun5coqu

Saliency guided local and global descriptors for effective action recognition

Ashwan Abdulmunem, Yu-Kun Lai, Xianfang Sun
2016 Computational Visual Media  
Experiments conducted on the standard KTH and UCF-Sports action benchmarks show that our new method outperforms the competing state-of-the-art spatiotemporal feature-based human action recognition methods  ...  We combine this approach with a new combination of local and global descriptors, namely 3D-SIFT and histograms of oriented optical flow (HOOF), respectively.  ...  Acknowledgements This research is funded by Iraqi Ministry of Higher Education and Scientific Research (MHESR).  ... 
doi:10.1007/s41095-016-0033-9 fatcat:hjjo3awdlfbrrmae63qybiuu7a

Evolutionary Characteristics and Trade-Offs' Development of Social–Ecological Production Landscapes in the Loess Plateau Region from a Resilience Point of View: A Case Study in Mizhi County, China

Hang Zhang, Hai Chen, Tianwei Geng, Di Liu, Qinqin Shi
2020 International Journal of Environmental Research and Public Health  
the areas from the three-system resilience combination level to achieve regional development trade-offs.  ...  Social-ecological production landscape resilience (SELPR) is a significant representation of the continuous supply capacity of landscape services.  ...  Conflicts of Interest: The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.3390/ijerph17041308 pmid:32085525 pmcid:PMC7068421 fatcat:nlvxnk5vv5dwjinzelbbrm42cu

Paco: A System-Level Abstraction for On-Loading Contextual Data to Mobile Devices

Nathaniel Wendt, Christine Julien
2018 IEEE Transactions on Mobile Computing  
Maintaining these rich histories requires frequent sampling and indexed storage of spatiotemporal data that pushes the limits of resource-constrained mobile devices.  ...  Today's apps offload processing and storing contextual information, but this increases response time, often relies on the user's data connection, and runs the very real risk of revealing sensitive information  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1109/tmc.2018.2795604 fatcat:uk3xuosufjc2npmkzomwoqvhza

Diverse Visualization Techniques and Methods of Moving-Object-Trajectory Data: A Review

Jing He, Haonan Chen, Yijin Chen, Xinming Tang, Yebin Zou
2019 ISPRS International Journal of Geo-Information  
study the spatiotemporal conditions of the entire trajectory set and microscopically analyze the individual movement of each trajectory; such methods are widely used in screen display and flat mapping  ...  With the improvement of trajectory data quality, these data can generally describe information in the spatial and temporal dimensions and involve many other attributes (e.g., speed, orientation, and elevation  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8020063 fatcat:fjd5jjfrhncfpowutovxxiyhpe

Spatiotemporal Data Mining: Issues, Tasks And Applications

Venkateswara Rao K
2012 International Journal of Computer Science & Engineering Survey  
Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time.  ...  In this paper, the issues and challenges related to spatiotemporal data representation, analysis, mining and visualization of knowledge are presented.  ...  Patterns that describe changes in space and time are referred to as spatiotemporal patterns.  ... 
doi:10.5121/ijcses.2012.3104 fatcat:smom5x2ybbgilavylsg7dju3pu

Visualizing Uncertainty in Cultural Heritage Collections [article]

Florian Windhager, Velitchko Andreev Filipov, Saminu Salisu, Eva Mayr
2018 EuroVis Workshop on Trustworthy Visualization  
, color coding, and a space-time cube representation.  ...  To make these levels of data quality transparent, the visualization of uncertainty poses a vital challenge for interfaces across the board.  ...  Acknowledgments This work was supported by a grant from the Austrian Science Fund (FWF), No. P28363-24 and from the NFB, No. SC16-032.  ... 
doi:10.2312/eurorv3.20181142 dblp:conf/eurorvvv-ws/WindhagerFSM18 fatcat:auv32nchsbg7rkgqkz26senbdi

Spatiotemporal Data Mining: A Survey on Challenges and Open Problems [article]

Ali Hamdi, Khaled Shaban, Abdelkarim Erradi, Amr Mohamed, Shakila Khan Rumi, Flora Salim
2021 arXiv   pre-print
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time.  ...  Moreover, we discuss the limitations in the literature and open research problems related to spatiotemporal data representations, modelling and visualisation, and comprehensiveness of approaches.  ...  Accordingly, these issues lead to a trade-off between the accuracy of the output and computational efficiency.  ... 
arXiv:2103.17128v1 fatcat:ci5pt5bytndr5inolznjsaizpi

Visual analytics for spatiotemporal events

Ricardo Almeida Silva, João Moura Pires, Nuno Datia, Maribel Yasmina Santos, Bruno Martins, Fernando Birra
2019 Multimedia tools and applications  
The use of several synthetic and real datasets supported the evaluation and validation of VAST, suggesting LoDs with different interesting spatiotemporal patterns and pointing the type of expected patterns  ...  For each event, its geographic location, time and related attributes are known with high levels of detail (LoDs).  ...  From the remaining 15, 4 (GeoTime [28] , Space-time Cube [32] , Time Varying-Hierarchies on Maps [25] , and Spatio-temporal Event Visualization [21] ) make use of the space-time cube concept (X-Y to  ... 
doi:10.1007/s11042-019-08012-2 fatcat:k5pafls3dfdblno5llx6nd2wuu

Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data [article]

Joshua Owoyemi, Koichi Hashimoto
2018 arXiv   pre-print
We mapped point cloud data into dense occupancy grids, then time steps of the occupancy grids are used as inputs into a 3D convolutional neural network which learns the spatiotemporal features in the data  ...  The developed model is able to classify gestures from the dataset with 84.44% accuracy.  ...  This prevents the model from overfitting and helps to choose a good trade-off between accuracy and training loss.  ... 
arXiv:1804.08859v1 fatcat:ml725ogqknbhfnac5ez7e54dna

MotionRugs: Visualizing Collective Trends in Space and Time

Juri Buchmuller, Dominik Jackle, Eren Cakmak, Ulrik Brandes, Daniel A. Keim
2018 IEEE Transactions on Visualization and Computer Graphics  
The challenge in visualizing collective movement data is to show space and time of hundreds of movements at the same time to enable the detection of spatiotemporal patterns.  ...  Building upon established space-partitioning strategies, our approach reduces the spatial dimensions in each time step to a one-dimensional ordered representation of the individual entities.  ...  ACKNOWLEDGMENTS The authors gratefully acknowledge Prof. Dr. Iain Couzin for providing the dataset and valuable feedback.  ... 
doi:10.1109/tvcg.2018.2865049 pmid:30136979 fatcat:kjettdxrkfdllekzz6qqvhyjsq

Spatiotemporal Analysis of COVID-19 Spread with Emerging Hotspot Analysis and Space–Time Cube Models in East Java, Indonesia

Purwanto Purwanto, Sugeng Utaya, Budi Handoyo, Syamsul Bachri, Ike Sari Astuti, Kresno Sastro Bangun Utomo, Yulius Eka Aldianto
2021 ISPRS International Journal of Geo-Information  
In this research, we analyzed COVID-19 distribution patterns based on hotspots and spacetime cubes (STC) in East Java, Indonesia.  ...  The monthly hotspot analysis results yielded detailed COVID-19 spatiotemporal information and facilitated more in-depth analysis of events and policies in each location/time bin.  ...  Conflicts of Interest: The authors declare no conflict of interest. Acknowledgments: The authors would like to thank all contributors for their work in this research.  ... 
doi:10.3390/ijgi10030133 doaj:0e36a191e249455480c25608928a27b3 fatcat:k2wcg2napjbplkncvg6cncz42m

Earth system data cubes unravel global multivariate dynamics

Miguel D. Mahecha, Fabian Gans, Gunnar Brandt, Rune Christiansen, Sarah E. Cornell, Normann Fomferra, Guido Kraemer, Jonas Peters, Paul Bodesheim, Gustau Camps-Valls, Jonathan F. Donges, Wouter Dorigo (+8 others)
2020 Earth System Dynamics  
An implementation of this concept combines analysis-ready data cubes with a suitable analytic interface.  ...  Here, we introduce the concept of Earth system data cubes and how to operate on them in a formal way.  ...  But, as we have learned in this discussion, it comes at the price of some pragmatic trade-offs.  ... 
doi:10.5194/esd-11-201-2020 fatcat:zlkp5tg5f5gohcy3ytukej2qgu
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