Open source and open science are characterized by transparency and reproducibility, which together foster cross-university and international as well as interdisciplinary collaboration. Spatial statistics, a core component of GIScience, provides a “spatial” perspective to understand the world, and has been developing rapidly over years. How we seek a better model for the development, dissemination and application of spatial statistical methods in an open source & open science world is an open and essential question. In this emerging paradigm, development and research are explicitly linked to open data, open modeling, open software, open collaboration, and open publication.
This Symposium will curate a group of sessions presenting cutting-edge open spatial science research and development. We will also have a panel session on “The Future of Open GIScience” as well as an “Open-Source Spatial Statistics” hands-on workshop. Ways to get involved in open projects will be integrated throughout the Symposium. The Symposium Session topics are to include: Open Source Package Development, (Open) Methodological Advancement, Empirical Application with Open Tools, and Open Science Ecosystems + Infrastructure.
|Introduction||Wei Kang Arizona State University||5|
|Panelist||Jonathan Reades King's College London||15|
|Panelist||Levi Wolf University of Bristol||15|
|Panelist||Elijah Knaap University of Illinois At Chicago||15|
|Panelist||Carson Farmer University of Colorado||15|
|Panelist||Marynia Kolak University of Chicago||15|
To access contact information login