Resources

Books

Müller and Guido: Introduction to Machine Learning with Python (1st Edition)

Raschka, Julian, Hearty: Python: Deeper Insights into Machine Learning

Tan, Steinbach, Kumar: Introduction to Data Mining (1st Edition)

Papers:

High Performance Computing for Health Applications, UNCC 2017

Resilience to Emerging Infectious Disease, UNCC 2016

Visual Analytics for Spatiotemporal Processes, UNCC 2014

The Schaefer-Hartshorne Debate, Quantitative Revolution, Critics of GIS, UNCC 2014

Marxist-, Feminist-, and Postmodern Geographies, UNCC 2014

Presentations:

Sensitivity Analysis of a High-Performance Spatiotemporal Pattern Mining Algorithm, AAG 2017

Accelerated Discovery of Infectious Disease Clusters Using Adaptive Spatiotemporal Domain Decomposition, AAG 2016

Hybrid Approach for Parallel Analysis of Spatiotemporal Point Patterns, GIScience 2016

Posters:

Trajectory Clustering for Neighborhood Change, UNCC 2017

Mapping the Spread of Sudden Oak Death Disease via Stream Baiting in California, SEDAAG 2010

Flyers:

CAGIS Seminar October 4, 2017

SEDAAG Preview Event November 2016

GIS-Day @UNCC November 16, 2016

CAGIS Seminar October 26, 2016

CAGIS Seminar September 24, 2015

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