Amy Collins, Michael Law

Getting to Know ArcGIS Pro 3.2

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: ESRI Press
• Seitenzahl: 430
• Erscheinungstermin: 11. Juli 2024
• Englisch
• Abmessung: 234mm x 190mm
• ISBN-13: 9781589487772
• ISBN-10: 158948777X
• Artikelnr.: 68760531

Autorenporträt

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.

Inhaltsangabe

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