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      Machine Learning for Modeling Wildfire Susceptibility at the State Level: An ...Fire susceptibility modeling is crucial for sustaining and managing forests among many other valuable land resources. With 56% of its area covered by forests, Arkansas is known...
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      Where is the provenance? Ethical replicability and reproducibility in GIScien...As replicability and reproducibility (R&R) crises develop within emerging convergent inquiry, ethical use of provenance information is central to the establishment and...
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      Multiuser GIS and Practical Workflow ReplicabilityReplicability and reproducibility (R&R) have always been core requirements of scientific research. Recently, cases of failure to replicate previously published findings have...
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      Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid Geoscientific AI ...AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention. Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in...
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      Applications of Small Unmanned Aircraft Systems Best Practices and Case StudiesChapter 3: Multiuser Concepts and Workflow Replicability in sUAS Applications Jason A. Tullis, Katie Corcoran, Richard Ham, Bandana Kar, and Malcolm Williamson Advances in high...