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