GIS for Science, Volume 3

Esri Chief Scientist Dawn J. Wright is a professor of geography and oceanography at Oregon State University. In 2007, the Carnegie Foundation for the Advancement of Teaching and the Council for the Advancement and Support of Education named her US Professor of the Year for the State of Oregon. She is also a fellow of the American Association for the Advancement of Science and a new fellow of Stanford University's Aldo Leopold Leadership Program in science communication. Her research interests include geographic information science; ocean informatics and cyberinfrastructure; benthic terrain and habitat characterization; and the processing and interpretation of high-resolution bathymetry, video, and underwater photographic images. Wright received a PhD in physical geography and marine geology from the University of California, Santa Barbara; an MS in oceanography from Texas A&M University; and a BS with honors from Wheaton College in Illinois. She is also certified by the GIS Certification Institute as a GIS professional (GISP). She coauthored several books for Esri Press, including Ocean Solutions, Earth Solutions, second edition (2016). Christian Harder is a technology writer and information designer at Esri. He is the author or coauthor of numerous books on GIS, including Understand GIS, The ArcGIS Book (Esri Press, 2017) and The ArcGIS Imagery Book (Esri Press, 2016). Pulitzer Prize winner

INTRODUCTION


GIS for Science: A Framework and a Process


Introduction by the Editors


Foreword


PART 1: How Earth Works


Earth’s Coastlines


Preventing Species Extinctions


Mapping Half-Earth


PART 2: How Earth Looks


From Plots to Pixels


Blueprint for a Better Future


Conserving the Last Ocean Frontiers


PART 3: How We Look at Earth


AI for Geospatial Analysis


Mapping Extreme Events from Space


The Science of Ocean Acoustics


PART 4: Training Future Generations of Scientists


Spatial Thinking Effects on the Human Brain


Fueling Curiosity to Foster a Healthy Planet


Teaching Spatial Data Science and Deep Learning


PART 5: Technology Showcase


Drone Data Automation with Site Scan for ArcGIS


Mapping Biodiversity


Modeling Global Streamflow


Climate Data for the GIS Community


Visualizing Vessel Traffic


Revealing Sunken Ships with GeoAI


The Art of Frequency and Predominance


Understanding the Patterns of COVID-19


Monitoring Global Snow Cover


People for the People


Analyzing Global Water Quality over Time


Growing Degree Day Models


Interactive Suitability Modeling


Inside Submarine Volcanic Eruptions


Spatiotemporal Machine Learning