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A Web-Based Geovisual Analytical System for Climate Studies

Min Sun, Jing Li, Chaowei Yang, Gavin Schmidt, Myra Bambacus, Robert Cahalan, Qunying Huang, Chen Xu, Erik Noble, Zhenlong Li
2012 Future Internet  
This paper reports our research and development of a web-based geovisual analytical system to support the analysis of climate data generated by climate model.  ...  This research also provides an example for managing, disseminating, and analyzing Big Data in the 21st century.  ...  With the web-based system, users can visualize and analyze climate data interactively through a web interface.  ... 
doi:10.3390/fi4041069 fatcat:3p6balx4u5htfcszpfyju4igrm

Association Rules-Based Multivariate Analysis and Visualization of Spatiotemporal Climate Data

Feng Wang, Wenwen Li, Sizhe Wang, Chris Johnson
2018 ISPRS International Journal of Geo-Information  
Three techniques are introduced: (1) web-based spatiotemporal climate data visualization; (2) multiview and multivariate scientific data analysis; and (3) data mining-enabled visual analytics.  ...  The Arctic System Reanalysis (ASR) data are used to demonstrate and validate the effectiveness and usefulness of our method through a case study of "The Great Arctic Cyclone of 2012".  ...  Acknowledgments: The authors would like to thank all the reviewers for their constructive comments to improve the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi7070266 fatcat:nf72gpftnvafbao6h7uxnq2o3e

Introduction to Big Data Computing for Geospatial Applications

Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan
2020 ISPRS International Journal of Geo-Information  
the opportunities for using big data for geospatial applications.  ...  The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization.  ...  Acknowledgments: We would like to thank all authors for contributing to this special issue and the reviewers for their constructive suggestions and criticisms that significantly improved the papers in  ... 
doi:10.3390/ijgi9080487 fatcat:b5qd7ar76feydjakfbr64xknsq

An On-Demand Service for Managing and Analyzing Arctic Sea Ice High Spatial Resolution Imagery

Dexuan Sha, Xin Miao, Mengchao Xu, Chaowei Yang, Hongjie Xie, Alberto M. Mestas-Nuñez, Yun Li, Qian Liu, Jingchao Yang
2020 Data  
Users with large number of images can leverage the service to process their image in high performance manner on cloud, and manage, analyze results in one place.  ...  High spatial resolution (HSR) imagery is an important data source in Arctic sea ice research for extracting sea ice physical parameters, and calibrating/validating climate models.  ...  Acknowledgments: The authors are thankful with Timothy Wu for providing technical support on data and literature collection and online data services, Victoria Dombrowik for analyzing open-source packages  ... 
doi:10.3390/data5020039 doaj:689056ab45b24f3a80f574568f1fb491 fatcat:rr73n7t4j5gohouqdluisre5ju

Big Data and cloud computing: innovation opportunities and challenges

Chaowei Yang, Qunying Huang, Zhenlong Li, Kai Liu, Fei Hu
2016 International Journal of Digital Earth  
Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital  ...  and application developments; (ii) cloud computing provides major solutions for Big Data; (iii) Big Data, spatiotemporal thinking and various application domains drive the advancement of cloud computing  ...  Acknowledgements We thank the anonymous reviewers for their insightful comments and reviews. Dr George Taylor reviewed a previous version of this manuscript.  ... 
doi:10.1080/17538947.2016.1239771 fatcat:qbcgqj2pcvbgja6dnnakoj2saa

An Approach to Visualization and Clustering-based Analysis on Spatiotemporal Data

Maxwell Guimarães de Oliveira, Cláudio de Souza Baptista
2013 Journal of Information and Data Management  
The validation of the proposed approach occurs through a case study that addresses spatiotemporal data from a specific domain, to demonstrate the end-user experience of the visualization techniques that  ...  This goal is achieved by defining an innovative approach for the analysis and visualization of spatiotemporal data, and its implementation, called GeoSTAT (Geographic Spatiotemporal Analysis Tool).  ...  We then present a new system based on this proposed approach, called GeoSTAT (Geographic SpatioTemporal Analysis Tool), for the visualization and analysis of spatiotemporal data.  ... 
dblp:journals/jidm/OliveiraB13 fatcat:itp6paflhbcgvgm22236drvs4i

Big Data and Cloud Computing [chapter]

Yun Li, Manzhu Yu, Mengchao Xu, Jingchao Yang, Dexuan Sha, Qian Liu, Chaowei Yang
2019 Manual of Digital Earth  
Big data emerged as a new paradigm to provide unprecedented content and value for Digital Earth.  ...  Big Earth data are increasing tremendously with growing heterogeneity, posing grand challenges for the data management lifecycle of storage, processing, analytics, visualization, sharing, and applications  ...  The analysis results could be published by a web-based map server (e.g., GeoServer) or web-based notebook (e.g., Zeppelin) for visualization, public access, and collaboration, contributing to advancements  ... 
doi:10.1007/978-981-32-9915-3_9 fatcat:n4drlq63tvfczbvfaopvkkhec4

Advanced Cyberinfrastructure to Enable Search of Big Climate Datasets in THREDDS

Gaigalas, Di, Sun
2019 ISPRS International Journal of Geo-Information  
The model derives a sampling strategy for a high-performance concurrent web crawler bot which is used to mirror the essential metadata of the big data archive without overwhelming network and computing  ...  A complete workflow is designed to analyze the metadata structure in TDS and create an index for data parameters.  ...  Acknowledgments: We sincerely thank UCAR, UCAR Unidata Support Team, and the authors of the software, libraries, tools, and datasets that we have used in this work.  ... 
doi:10.3390/ijgi8110494 fatcat:vhox36w6v5fybfup3aznguglp4

DKP: A Geographic Data and Knowledge Platform for Supporting Climate Service Design

Martine Collard, Erick Stattner, Wilfried Segretier, Reynald Eugenie, Nathan Jadoul
2020 ISPRS International Journal of Geo-Information  
Anticipating large volumes of data that are to be stored, we opted for a NoSQL database rather than a textual repository.  ...  We present the architecture and features of the Data and Knowledge Platform (DKP), innovative geographic software that was designed as support for climate-service elaboration in the context of change on  ...  Acknowledgments: We acknowledge ERA4CS project INNOVA (grant agreement number 690462) for the financial support to this research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi9050337 fatcat:jpzcxcs2nranzelsswscjtq5xm

Visual Analysis of Spatiotemporal Data Predictions with Deep Learning Models

Hyesook Son, Seokyeon Kim, Hanbyul Yeon, Yejin Kim, Yun Jang, Seung-Eock Kim
2021 Applied Sciences  
In this paper, we propose a visualization system to analyze deep learning models with air pollution data. The proposed system visualizes the predictions according to the input characteristics.  ...  The input characteristics include space-time and data features, and we apply temporal prediction networks, including gated recurrent units (GRU), long short term memory (LSTM), and spatiotemporal prediction  ...  Our spatiotemporal data prediction modeling system, as shown in Figure 1 , is a web-based application developed under the Flask framework, and visualization modules are implemented using D3.js.  ... 
doi:10.3390/app11135853 fatcat:pvupjsy4cbaqfat6uelfieopya


S. Wu, Y. Yan, Z. Du, F. Zhang, R. Liu
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Location-aware and globe-based visualization is an important technique for analyzing and presenting the evolution of climate change.  ...  , and an original visualization method based on our digital earth is proposed to demonstrate the spatiotemporal variations of carbon sinks and sources using time-series satellite data.  ...  Visualization techniques are regarded as a powerful manner to analyze and present climate changes and environmental simulations (Liu, 2014; Ziolkowska and Reyes, 2016) .  ... 
doi:10.5194/isprs-annals-iv-4-w2-77-2017 fatcat:y7viqgkzyfcq3he4maanp3cgye

A survey on visual analysis of ocean data

Cui Xie, Mingkui Li, Haoying wang, Junyu Dong
2019 Visual Informatics  
Finally, the opportunities are discussed for future studies.  ...  A major challenge in analysis of huge amounts of ocean data is the complexity of the data and the inherent complexity of ocean dynamic processes.  ...  They also would like to thank the anonymous reviewers for their comments that helped to improve the paper.  ... 
doi:10.1016/j.visinf.2019.08.001 fatcat:lnf2ixaegjhzjcz3tumnwhgjam

A Brief Review on 4D Weather Visualization

Roman Rudenko, Ivan Miguel Pires, Margarida Liberato, João Barroso, Arsénio Reis
2022 Sustainability  
Thus, we propose a literature review of existing systems viewing meteorological phenomena in four and three dimensions.  ...  This article found eleven existing solutions for 4D meteorological visualization and meteorological phenomena.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su14095248 fatcat:dspcyv2s3vabrbq6x5cfuxx5cy

Big Data Analytics on Earth Science-the Earth Server-2 Approach

2017 International Journal of Recent Trends in Engineering and Research  
Big Data Analysis is a new emerging field of study and with this it is associated with a lot of challenges like noise within data makes it very difficult to analyze and visualize the data.Earth sciences  ...  The Earth Server-2 Big Earth Data Analytics engine gives a total solution for coverage-type datasets and is built around a high performance array database technology called Rasdaman and uplifts the standards  ...  The ability to visualize data has been a part of every field of study. Big Data Analysis is a new emerging field of study which brings to the table a lot of challenges.  ... 
doi:10.23883/ijrter.2017.3228.wnqky fatcat:lhusn6rouzdtbmvwofddzl3doq

Utilizing Cloud Computing to address big geospatial data challenges

Chaowei Yang, Manzhu Yu, Fei Hu, Yongyao Jiang, Yun Li
2017 Computers, Environment and Urban Systems  
We introduce and review four geospatial scientific examples, including climate studies, geospatial knowledge mining, land cover simulation, and dust storm modelling.  ...  Big Data has emerged with new opportunities for research, development, innovation and business.  ...  We thank the anonymous reviewers for their insightful comments and reviews. Dr. George Taylor edited an earlier version of the paper.  ... 
doi:10.1016/j.compenvurbsys.2016.10.010 fatcat:ewhhcggndfecvnbtk53obkrgtu
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