Open Spatial Science Symposium: Integrating Spatial Statistics within Open Source & Open Science

Type: Paper
Sponsor Groups: Spatial Analysis and Modeling Specialty Group, Geographic Information Science and Systems Specialty Group, Applied Geography Specialty Group
Poster #:
Day: 4/12/2018
Start / End Time: 5:20 PM / 7:00 PM (MDT)
Room: Astor Ballroom II, Astor, 2nd Floor
Organizers: Wei Kang, Marynia Kolak
Chairs: Wei Kang


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. We invite contributions from all aspects regarding the integration of spatial statistics within an open source & open science world that push spatial analysis to the mainstream as well as the frontiers of GIScience.

This sessions seeks contributions from the following areas:

1. Open Source Methods and Empirical Applications
* Open source packages (R, python, matlab...) for spatial statistics and geographic data science
* Methodological Advancement implemented or want-to-be-implemented in open source packages including:
* Novel spatially explicit methods for statistical analysis of point patterns, lattices, surfaces, or spatial clusters.
* Spatial & spatiotemporal statistical modeling (statistical, econometric, Bayesian, local, causal) for cross-sectional and longitudinal data
* Empirical Applications integrating open spatial science to generate new insights
* Cross-sector (public, private) projects and tested working examples
* Multi/inter-disciplinary topics including (but not restricted to) inequality, segregation, polarization, environmental racism, public health, urban movement

2. Open Science Ecosystems and Infrastructure
* Open back-end and/or front-end spatial infrastructure examples
* Methods to automate workflow or work environments
* Integrated web applications and services (from analytics dashboards to ‘data as service’)
* Theoretical and conceptual papers on Reproducible Research, Open Science

Organizers and Lead Contributors:
* Sergio Rey, Founding Director at the Center for Geospatial Sciences, University of California at Riverside
* Wei Kang, PhD candidate at School of Geographical Sciences & Urban Planning, Arizona State University and visiting student at the Center for Geospatial Sciences, University of California at Riverside
* Marynia Kolak, Asst Director of Health Informatics at the Center for Spatial Data Science, University of Chicago
* Levi Wolf, Lecturer in Quantitative Human Geography at the School of Geographical Sciences, University of Bristol
* Dani Arribas-Bel, Lecturer at the Geographic Data Science Lab, University of Liverpool
* Binbin Lu, Lecturer at School of Remote Sensing & Information Engineering, Wuhan University
* Robin Lovelace, University Academic Fellow at Leeds Institute for Transport Studies

* Center for Spatial Data Science, University of Chicago
* Center for Geospatial Sciences, University of California at Riverside
* AAG Spatial Analysis & Modeling Specialty Group
* AAG Geographic Information Science and Systems Specialty Group
* AAG Applied Geography Specialty Group


Type Details Minutes Start Time
Presenter Katerina Brandt*, Citizen Science GIS, Timothy Hawthorne, University of Central Florida, Citizen Science GIS, Christy Visaggi, Georgia State University, Lain Graham, University of Central Florida, Citizen Science GIS, Christine Munisteri, Citizen Science GIS, Julia Jeanty, University of Florida, Brenner Burkholder, Goshen College, Impacts of Volunteered Geographic Data on Flood Management in Hopkins, Belize: Using GIS to Model Runoff from Headwaters to Caribbean Outlet 20 5:20 PM
Presenter Erik Schmidt*, Oak Ridge National Laboratory, Data Fusion in Electric Power Infrastructure Data Layer Development 20 5:40 PM
Presenter Marynia Kolak*, University of Chicago, Quantifying the Effect of the Great Recession on Food Access in Chicago 20 6:00 PM
Presenter Eli Knaap*, University of Illinois at Chicago, Nicholas Finio, University of Maryland, Machine Learning in the Chicago School: Modeling the Space-Time Dynamics of Gentrification 20 6:20 PM
Presenter Wei Kang*, Arizona State University, Sergio Rey, University of California, Riverside, Smoothed estimators for Markov Chains with sparse spatial observations 20 6:40 PM

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