Getting to Know ArcGIS Pro 3.2
Description
Learn to use ArcGIS Pro confidently, quickly, and effectively with the newest edition in this best-selling series.
Getting to Know ArcGIS Pro 3.2 introduces readers to ArcGIS Pro, the world's most powerful desktop GIS.
Getting to Know ArcGIS Pro 3.2 walks readers through how to build a geodatabase, discover 3D GIS, create maps for web and physical presentations, and more. With more than 300 full-color images, Getting to Know ArcGIS Pro 3.2 clarifies complicated processes such as developing a geoprocessing model, using Python to write a script tool, and creating space-time cubes for analysis in easy-to-follow workflows. This edition has been completely updated for use with ArcGIS Pro 3.2.
Michael Law is a cartographer and GIS professional with more than 16 years of experience. He lives in Toronto, Canada.
Amy Collins is a writer and editor who lives in Northern California.
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Michael Law is a cartographer and GIS professional with over 16 years of experience. He lives in Toronto, Canada. He and Amy Collins previously updated Getting to Know ArcGIS Desktop 10.8.
Content
Contents
Preface
Chapter 1 Introducing GIS
Exercise 1a: Explore ArcGIS Online
Chapter 2 A first look at ArcGIS Pro
Exercise 2a: Learn some basics
Exercise 2b: Go beyond the basics
Exercise 2c: Experience 3D GIS
Chapter 3 Exploring geospatial relationships
Exercise 3a: Extract part of a dataset
Exercise 3b: Incorporate tabular data
Exercise 3c: Calculate data statistics
Exercise 3d: Connect spatial datasets
Chapter 4 Creating and editing spatial data
Exercise 4a: Build a geodatabase
Exercise 4b: Create features
Exercise 4c: Modify features
Chapter 5 Facilitating workflows
Exercise 5a: Manage a repeatable workflow using tasks
Exercise 5b: Create a geoprocessing model
Exercise 5c: Run a Python command and script tool
Chapter 6 Geoenabling your project
Exercise 6a: Prepare project data
Exercise 6b: Geocode location data
Exercise 6c: Use geoprocessing tools to analyze vector data
Chapter 7 Analyzing spatial and temporal patterns
Exercise 7a: Create a kernel density map
Exercise 7b: Perform a hot spot analysis
Exercise 7c: Explore the results in 3D
Exercise 7d: Animate the data
Chapter 8 Determining suitability
Exercise 8a: Prepare project data
Exercise 8b: Derive new surfaces
Exercise 8c: Create a weighted suitability model
Chapter 9 Presenting your project
Exercise 9a: Apply detailed symbology
Exercise 9b: Label features
Exercise 9c: Create a page layout
Exercise 9d: Share your project
Appendix Image and data source credits
Data license agreement
Glossary
