POSITION PAPERS
- Guang Yu Zhao, Larry Di Girolamo, Yizhao Gao, and Jonathan Kim: Challenges in resampling and projecting petabyte-scale Terra data onto a common grid
- Xingong Li, David Rahn, David Tarboton, Mike Hodgson, and Eric Shook: A Map Algebra Approach to Analyzing Spatiotemporal Data
- Kevin M. Curtin: Software to Integrate Geographic Information Systems and Operations Research Capabilities: The Use Case of Unmanned Vehicle Logistics
- James Z. Wang: Fundamental Visual Analytics Tools for Geospatial Big Data
- Alex Sun: Challenges in integrating multiscale data and mechanistic models for intelligent geoscience monitoring and sensing making
- Dalia E. Varanka: GSI Software and Architecture Developments: Big Data Semantics and Applications
- Debra F. Laefer: Governing the Subsurface: Squandered Opportunities
- Debra F. Laefer and Anh Vu Vo: Distributed, Integrated, Enriched: Remote Sensing Data’s Need for a New Comprehensive Data Storage Approach
- Coline C. Dony and Douglas B. Richardson: Inclusive, “geo-computational software development” research team to address social, environment and scientific challenges
- Dr. Charles R. Ehlschlaeger, Dr. Olaf David, Dr. Yanfeng Ouyang, Dr. James D. Westervelt, Dr. Dawn A. Morrison, Mr. Dave Peterson, Mr. Francesco Serafin, Mr. Liqun Lu, Mr. Jeffrey A. Burkhalter, Ms. Natalie R. Myers, Mr. Antoine Petit, and Mr. Zhoutong Jiang: Observations on the Implementation of a General Purpose Spatiotemporal Risk Analysis System Supporting Black Swan Theory
- Fusheng Wang: Efficient and Scalable Spatial Data Management for Analytical 3D Digital Pathology
- Marc P. Armstrong: A Geospatial Streaming Data Simulator
- Weibo Liu: An Open Source Infrastructure for the Cryosphere Community
- Richard Barnes: High-Performance Terrain Analysis and Democratic Algorithms
- Anne M. Denton, Nicholas Dusek, and Dane Skow: The Challenges and Opportunities of Scale in Geospatial Raster Data
- Karen Kemp: What do Geospatial Software developers and users need to know and how should they learn it?
- Tyson L. Swetnam, Ben Hickson, Blake Joyce, and Ramona Walls: Ensuring best practices for computational reproducibility of long tail data in intensive geospatial scientific research
- Arcot Rajasekar and Terrell Russell: Sustainable Multi-Community Geo-Spatial Framework for Data-intensive Science & Engineering
- George Percivall: Geospatial Technology Forecasting for GSI
- Carol Song, Rajesh Kalyanam, and Lan Zhao: Challenges in Discovering, Accessing, Processing and Utilizing Large Remote Spatial Data
- Maggi Kelly: A Framework for Scaling Drone Science and Outreach
- Tapani Sarjakoski, Lassi Lehto, and Juha Oksanen: Challenges in developing a national geospatial research infrastructure
- Peter Löwe: From the trenches of scientific open source: Opportunities and challenges for GSI
