Making Spatial Decisions Using ArcGIS Pro
A Workbook
Published on 11. August 2017
Book
Paperback/Softback
290 pages
978-1-58948-484-9 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
Redlands
United States
Publishing group
ESRI Press
Target group
Professional and scholarly
Illustrations
447 illustrations
Dimensions
Height: 254 mm
Width: 203 mm
ISBN-13
978-1-58948-484-9 (9781589484849)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
09/2017
1st Edition
Esri Press
from
€167.99
Available for download
Persons
Kathryn Keranen is a retired teacher. She was instrumental in introducing GPS, GIS, and remote sensing into the geosystems curriculum in Fairfax County, Virginia. After retiring she became a private consultant and an authorized K-12 ESRI instructor. She has consulted for various universities and is an adjunct instructor at James Madison University and Towson University.
Robert Kolvoord is a professor of integrated science and technology at James Madison University (JMU). His main research interests are in the use of geospatial technologies in K-12 classrooms. He has administered a variety of professional and curriculum development grants and workshops to help teachers bring these technologies to their classrooms. Prior to coming to JMU, Dr. Kolvoord worked at the University of Arizona where he was a founder of the nonprofit Center for Image Processing in Education.
Robert Kolvoord is a professor of integrated science and technology at James Madison University (JMU). His main research interests are in the use of geospatial technologies in K-12 classrooms. He has administered a variety of professional and curriculum development grants and workshops to help teachers bring these technologies to their classrooms. Prior to coming to JMU, Dr. Kolvoord worked at the University of Arizona where he was a founder of the nonprofit Center for Image Processing in Education.
Content
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
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