Buch, Englisch, 290 Seiten, Paperback, Format (B × H): 203 mm x 254 mm, Gewicht: 1202 g
A Workbook
Buch, Englisch, 290 Seiten, Paperback, Format (B × H): 203 mm x 254 mm, Gewicht: 1202 g
ISBN: 978-1-58948-484-9
Verlag: ESRI Press
How can we protect.?"" ""Where do we allocate.?"" ""What's the extent and pattern of.?"" You have questions in a spatial context; Making Spatial Decisions Using ArcGIS has answers based in The Science of Where.
Making Spatial Decisions Using ArcGIS Pro is a textbook that provides the user with a broad overview of the capabilities of using ArcGIS Pro to use geospatial tools to solve real-world problems. This book takes full advantage of the integrative nature of ArcGIS Pro and its advanced capabilities to seamlessly unite cloud-based and desktop GIS. The lessons included in this book have been adapted and updated from lessons from Keranen and Kolvoord's popular first three ESRI Press books: Making Spatial Decisions Using GIS, Making Spatial Decisions Using Remote Sensing, and Making Spatial Decisions Using Lidar.
Autoren/Hrsg.
Weitere Infos & Material
- Preface
- About the Authors
- Acknowledgements
- Introduction
- Module 1: Hazardous emergency decisions
- PROJECT 1: An explosive situation in Springfield, Virginia
- PROJECT 2: Skirting the spill in Mecklenburg County, North Carolina
- Module 2: Hurricane damage decisions
- PROJECT 1: Coastal flooding from Hurricane Katrina
- PROJECT 2: Hurricane Wilma storm surge
- Module 3: Law enforcement decisions
- PROJECT 1: Crime in the nation’s capital
- PROJECT 2: Analyzing crime in San Diego, CA
- Module 4: Composite Images
- PROJECT 1: Creating multispectral imagery of the Chesapeake Bay
- PROJECT 2: Multispectral Composite Bands of the Las Vegas Area
- Module 5: Unsupervised Classification
- PROJECT 1: Unsupervised classification of the Chesapeake Bay
- PROJECT 2: Calculating unsupervised classification of Las Vegas, Nevada
- Module 6: Supervised Classification
- PROJECT 1: Calculating supervised classification of the Chesapeake Bay
- PROJECT 2: Calculating supervised classification of Las Vegas, Nevada
- Module 7: Basic Lidar Skills
- PROJECT 1: Basic lidar skills using Baltimore, MD data
- PROJECT 2: San Francisco, CA
- Module 8: Location of Solar Panels
- PROJECT 1: James Madison University, Harrisonburg, Virginia
- PROJECT 2: San Francisco University, San Francisco, California
- Module 9: Forest Vegetation Height
- PROJECT 1: George Washington National Forest, Virginia
- PROJECT 2: Michaux State Forest, PA
- Appendix A: Image and Data Credits
- Book Resources




