GIS for science : applying mapping and spatial analytics

書誌事項

GIS for science : applying mapping and spatial analytics

Dawn J. Wright and Christian Harder, editors

Esri Press, c2019

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注記

Includes bibliographical references

内容説明・目次

内容説明

GIS for Science presents a collection of real-world stories about modern science and a cadre of scientists who use mapping and spatial analytics to expand their understanding of the world. The accounts in this book are written for a broad audience including professional scientists, the swelling ranks of citizen scientists, and people generally interested in science and geography. Scientific data are brought to life with GIS technology to study a range of issues relevant to the functioning of planet Earth in a natural sense as well as the impacts of human activity. In a race against the clock, the scientists profiled in this volume are using remote sensing, web maps, Esri StoryMaps, and spatial analysis to document an array of issues with a geographic dimension that range from climate change, natural disasters, and loss of biodiversity, to political strife, polar ice loss, and resource shortages. These stories present GIS ideas and inspiration that users can apply across many disciplines, making this volume relevant to diverse scientific audience. See how scientists working on the world's most pressing problems apply geographic information systems-GIS.

目次

INTRODUCTION The Science of Where: A Framework and a Process How the Book Works Reflections on a Blue Marble: An Astronaut's View SECTION 1: How the Earth Works Global Ecosystem Mapping GIS as a Scientific Workbench: Pacific Gyre What Lies Beneath: LIDAR in Geology The Anatomy of Super Volcanos Understanding Polar Ice Loss Predicting Seagrass Occurrence SECTION 2: How the Earth Looks Extreme Heat Events Mapping Human Settlement Finding a Way Home: An Analysis of Homelessness EnviroCar: Big Data Analytics Fighting Sea Level Rise with Artificial Reefs Diverse Farms, Diverse Foods Emerging Hotspots of Forest Loss Forestry Inventory Analysis Mapping Avian Species Migration SECTION 3: How we look at the Earth Identifying the Natural Efficient Frontier Lidar Tree Canopy Mapping Mapping Ancient Landscapes SECTION 4: GIS SciTech from Esri Briefs The US National Water Model Equal Earth Projection 3D Marine Data interpolation The Science of the Hex Machine Learning Capabilities World Population Estimate Green Infrastructure The Living Atlas Story Maps for Science Planetary GIS ArcGIS Earth Imagery Workbench for Science Polar Ice App Jupyter Python Notebook SECTION 5: Training Future Generations of Scientists A Glacier in Retreat "Panamapping:" Rainforest Conservation in Panama Evolution of Students' Spatial Skills Next Steps: Learning GIS

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