Cyber- infrastructure: Innovations, Practices, and Beyond

Type: Poster
Sponsor Groups: Cyberinfrastructure Specialty Group
Poster #:
Day: 4/5/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Organizers: Minrui Zheng, Dandong Yin


In the era of Big Data, Cyberinfrastructure becomes increasingly important in supporting advanced research and applications. We welcome submissions on the innovations, practices and other related topics in the field of Cyber-infrastructure.

Topics may include, but not limited to:
- High performance computing for GIS models and geocomputation
- Cloud computing and Grid computing for GIS
- Geospatial Web and geospatial cyberinfrastructure
- Web services and web service chains for GIScience
- CyberGIS frameworks and applications
- Education and CyberGIS
- Challenges in Big Data and Artificial Intelligence


ID Title Participant
001 Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists Avipsa Roy
002 Creating an Operations Dashboard for Smart City Management of Emergency Services in Grand Forks, North Dakota Kelli Fika
University of North Dakota
003 Development and Evaluation of HealthWebMapper: A Web-based User-friendly Geovisualization Tool for Cancer Disparities HAIHONG HUANG
San Diego State University
004 Web Application to Report Future Drought Streamflow Probabilities Chintamani Kandel
005 Towards knowledge-based geospatial data integration and visualization: a case study of visualizing bicycling level-of-traffic-stress Weiming Huang
Lund University
006 Distributed Geoscience Model Integration Based on Open Geospatial Webservice Specifications Xicheng Tan
Wuhan University
007 Development of Google Earth Engine-based Cyberinfrastructure to Support In-season Crop Mapping and Analysis Chen Zhang
George Mason University
008 Georgia Coast Atlas Michael Page
Emory University
009 A Web-based Visualization Tool for Gunshots Data in Washington D.C. 2014-2017 Haoteng Zhao
George Mason University
010 Development of a Web-based Geographic Information System to Support Project Review and Resource Management within the Upper Delaware Scenic and Recreational River Corridor Kristin Thorpe
Shippensburg University
011 From paper to the net: New technologies for publishing maps as web applications Marcelo Rosensaft
Geological Survey of Israel
012 Understanding human behavior from aggregated smartphone signals and land use information Ta-Chien Chan
Academia Sinica
013 Feature Extraction and Classification of Single-Sensor LiDAR Data Using Machine Learning Nathan McKinney
GIS Manager University of Tennessee - Geography Dept
014 Machine Learning and Spatial analysis Methods of Pitcher’s Pitching Strategy YEN-HUI TSAI
015 Modeling Aedes Albopictus Distribution Using A Maximum Entropy Approach With Mixed Natural And Social Datasets Susan Lyon
United States Army Engineer Research & Development Center
016 Representation learning from geospatial data Antoine Nzeyimana
University of Oregon
017 Towards real-time influenza surveillance: exploiting twitter data Tian Wen
018 Mapping Historic Land Use Features in the northeast US using Deep Learning Convolutional Neural Networks and LIDAR data Eli Egan-Anderson
University of Connecticut
019 Predicting vegetative drought using deep learning neural networks Shaobo Zhong
Tsinghua University
020 A Random Forest approach for predicting temporal-spatial exposures of fine particulate matter with calibrated low-cost sensor networks and GIS predictors. Philip Orlando
021 The Data Accuracy Calibration of Fine Particulate Matter – A Case Study of Airboxes in Taipei Jia-Huei Chen
022 Digitalizing the Frontiers of Oil & Gas Eduardo Nunez
Mater Dei Catholic High School

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