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  • Book Overview & Buying ArcPy and ArcGIS: Geospatial Analysis with Python
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ArcPy and ArcGIS: Geospatial Analysis with Python

ArcPy and ArcGIS: Geospatial Analysis with Python

By : Silas Toms
3.9 (11)
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ArcPy and ArcGIS: Geospatial Analysis with Python

ArcPy and ArcGIS: Geospatial Analysis with Python

3.9 (11)
By: Silas Toms
Buy this Book

Overview of this book

If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.
Table of Contents (14 chapters)
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Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Introduction to Python for ArcGIS
1. Introduction to Python for ArcGIS
Overview of Python
Python as a programming language
Important Python Modules for GIS Analysis
Summary
2
2. Configuring the Python Environment
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2. Configuring the Python Environment
What is a Python script?
What is the Python interpreter?
Make Python scripts executable when clicked on
Integrated Development Environments (IDEs)
Python folder structure
The sys.path.append() method
Summary
3
3. Creating the First Python Script
3. Creating the First Python Script
Prerequisites
Creating a model and exporting to Python
Exporting the model and adjusting the script
File paths in Python
Continuing the script analysis: the ArcPy tools
Adjusting the Script
Adding the CSV module to the script
The final script
Summary
4
4. Complex ArcPy Scripts and Generalizing Functions
4. Complex ArcPy Scripts and Generalizing Functions
Python functions–Avoid repeating code
Summary
5
5. ArcPy Cursors – Search, Insert, and Update
5. ArcPy Cursors – Search, Insert, and Update
The data access module
Inserting a polyline geometry
Inserting a polygon geometry
Summary
6
6. Working with ArcPy Geometry Objects
6. Working with ArcPy Geometry Objects
ArcPy geometry object classes
Summary
7
7. Creating a Script Tool
7. Creating a Script Tool
Adding dynamic parameters to a script
Creating a Script tool
Inspecting the final script
Summary
8
8. Introduction to ArcPy.Mapping
8. Introduction to ArcPy.Mapping
Using ArcPy with map documents
Inspecting and replacing layer sources
Automated map document adjustment
Running the script in the Python Window
Summary
9
9. More ArcPy.Mapping Techniques
9. More ArcPy.Mapping Techniques
Using arcpy.mapping to control Layer objects
Definition queries
Controlling the data frame window extent and scale
Summary
10
10. Advanced Geometry Object Methods
10. Advanced Geometry Object Methods
Creating a Python module
Adding advanced analysis components
Summary
11
11. Network Analyst and Spatial Analyst with ArcPy
11. Network Analyst and Spatial Analyst with ArcPy
The Network Analyst extension
Using Network Analyst
The Network Analyst module
Accessing the Spatial Analyst Extension
The final result
Summary
12
12. The End of the Beginning
12. The End of the Beginning
Getting field information from feature classes
Summary
13
Index
Index

Chapter 2. Configuring the Python Environment

In this chapter, we will configure both Python and our computer to work together to execute Python scripts. Path variables and environment variables will be configured to ensure that import statements work as expected, and that scripts run when they are clicked on. The structure of the Python folder will be discussed, as will the location of the ArcPy module within the ArcGIS folder structure. We will also discuss Integrated Development Environments (IDEs), programs designed to assist in code creation and code execution, and compare and contrast existing IDEs to determine what benefits each IDE can offer when scripting Python code.

This chapter will cover:

  • The location of the Python interpreter, and how it is called to execute a script
  • Adjusting the computer's environment variables to ensure correct code execution
  • Integrated Development Environments
  • Python's folder structure, with a focus on where modules are stored

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