Spatial Data Analysis in Cyberspace: Data, Methodology, Technology and Applications
Co- sponsored by
GeoDa Center for Geospatial Analysis and Computation, Arizona State University,
China Data Center, the University of Michigan
Xinyue Ye, Center for Regional Development, Bowling Green State University
Myunghwa Hwang, GeoDa Center, Arizona State University
Shuming Bao, China Data Center, University of Michigan
This workshop is designed to introduce some new tools for spatial studies, which will include the spatial analytical web services built on PySAL developed by GeoDa Center for Geospatial Analysis and Computation at Arizona State University, and China Geo-Explorer, a web based system for spatial data analysis offered by the China Data Center at the University of Michigan. The workshop will discuss the methodology, functions, and data available for spatial studies as well as China studies. Some case studies will be demonstrated for applications in spatial economy and population, environmental assessment, and industrial transferring and clustering. Researchers from government agencies, research institutes, and universities will find the workshop particularly relevant.
This workshop is designed to introduce some new tools for spatial studies in cyberspace as well as their applications for regional studies.
Participants will learn the methodology for regional analysis, newly developed web based tools for spatial data analysis, as well as their applications for regional studies.
Topics (3 hours)
Introduction to Spatial Statistics and Modeling for Regional Analysis (45 min)
Introduction to PySAL and Web Based Spatial Statistics (45 min)
Spatial Data Analysis with China Geo-Explorer (45 min)
- Learning spatial weight matrix creation
- Conduct web-based spatial data analysis
- Effectively access and deliver spatial information
- The impact assessment of earthquake on population and economy
- Environmental monitoring and decision support system
- Religion and society studies
Audience: Anyone who are interested in learning the essentials of web-based spatial data analysis
Registration Fee: Free
Date/Time: 1:30pm-4:30pm November 9
Room: HIBISCUS B，Hyatt Regency Miami