Our pre-Symposium Workshops will be held on Monday May 22, 2017.  Workshops are FREE for individuals from UCGIS member institutions who are also registered to attend the Symposium. For anyone not attending the Symposium, or not from a member institution, the fees are $50 for a half-day workshop and $75 for a full-one.  
Registration for these workshops will open shortly. Spaces are limited so we encourage you to register early.
 
 
1) Introduction to R Spatial Analyses
  • Description: In this workshop, participants will gain an introduction to the R program and learn basic spatial functions commonly used with GIS software.
  • Location: TBA
  • Time & Date: 8:30 am – 12:00 pm on Monday May 22, 2017 
  • Requirements: Participants must bring their own laptop computers.
  • Instructor: Shannon Albeke is a Research Scientist and Ecoinformaticist at the Wyoming Geographic Information Science Center at the University of Wyoming. 
 
2) Advanced Spatial Analysis Topics using R
  • Description: In this workshop, we will focus on using R and OSGEO4W to create an automated workflow that integrates cloud-based raster/satellite data acquisition/processing with the extraction of this data to either points or polygons to facilitate the modeling of a landscape process.
  • Location: TBA
  • Time & Date: 1:00pm – 5 pm on Monday May 22, 2017 
  • Requirements: Participants must bring their own laptop computers.
  • Instructor:  Shannon Albeke is a Research Scientist and Ecoinformaticist at the Wyoming Geographic Information Science Center at the University of Wyoming. 
3) Collaborative Problem Solving with CyberGIS
  • Description: Participants from our 2017 Summer School will be working this day on their ongoing activities. 
  • Sponsor: National Science Foundation
  • Eligibility: This 1-day Workshop is an invitation-only event for participants in the UCGIS 2017 Summer School. 
  • Location: TBA
  • Time & Date:  8:30 am - 1:00 pm on Monday May 22, 2017
  • Requirements: TBA
  • Instructor:  Shaowen Wang is a professor of Geography and Geographic Information Science, Computer Science, Library and Information Science, and Urban and Regional Planning at the University of Illinois at Urbana-Champaign (UIUC), where he is named a Centennial Scholar. He is also an Associate Director of the National Center for Supercomputing Applications and Founding Director of UIUC’s CyberGIS Center for Advanced Digital and Spatial Studies. He is President-Elect of UCGIS, and a current member of the Board on Earth Sciences and Resources of the U.S. National Academies. 
 
4) Machine Learning for Geospatial Data Scientists
  • DescriptionIn this workshop, participants will learn about modern machine learning algorithms and hpc (Apache spark) frameworks for analyzing big geospatial data (emphasis on very high-resolution remote sensing imagery). Topics include probabilistic models, semi-supervised learning, multiple instance learning, active learning, and deep learning.
  • Location: TBA
  • Time & Date: 8:30 am – 12 pm  AND 1:00 pm - 5:00 pm on Monday May 22, 2017
  • Requirements: Participants must bring their own laptop computers.
  • Instructor:  Raju Vatsavai is a Chancellor’s Faculty Excellence Program Cluster Associate Professor in Geospatial Analytics in the Department of Computer Science, North Carolina State University (NCSU). He works at the intersection of spatial and temporal big data management, analytics, and high performance computing with applications in the national security, geospatial intelligence, natural resources, climate change, location-based services, and human terrain mapping. As the Associate Director of the Center for Geospatial Analytics (CGA), Raju plays a leadership role in the center’s strategic vision for spatial computing research.
 
5)  Real-time fusion of social media data and census data: Methods, Tools, and Applications
  • Description: This workshop will introduce the methods and tools of real-time fusion of big data and census data. Participants will learn the methodology for real-time fusion of big data and census data, newly developed web based tools, as well as their applications for spatial studies. The workshop will discuss how big data sources, such as QQ data, can be quickly extracted, quantified, spatialized, and integrated with census data for spatial studies. Several tools will be introduced, including a web-based platform, China Geo-Explorer, to assist researchers to explore data through interactive charts, maps, and reports in real-time. Researchers could easily visualize the patterns, trends, and correlations of big data and census data in an on-demand fashion. Some case studies will be demonstrated for applications in spatial economy and population. Researchers from government agencies, research institutes, and universities will find the workshop particularly relevant.
  • Location: TBA
  • Time & Date: 1:00 pm – 5:00 pm on Monday May 22, 2017. 
  • Requirements: Participants must bring their own laptop computers. 
  • Instructor: Xinyue Ye (Geography Department, Kent State University) is an expert at modelling the geographical perspective of socioeconomic inequality and human dynamics. He has developed methods for spatiotemporal-social network analysis/modelling/simulation for different application domains such as economic development, disaster response, land use, public health, and urban crime.