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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
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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
5
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
12
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

Overview of Python

Python, created by Guido van Rossum in 1989, was named after his favorite comedy troupe, Monty Python. His work group at the time had a tradition of naming programs after TV shows, and he wanted something irreverent and different from its predecessors - ABC, Pascal, Ada, Eiffel, FORTRAN, and others. So he settled on Python, feeling it was a bit edgy and catchy as well. It's certainly more fun to say than C, the language on which Python is based.

Today, Python is a major programming language. It is used in web development, database administration, and even to program robots. Most importantly to GIS Analysts, Python can be used to control ArcGIS tools and Map Documents to produce geospatial data and maps in an organized and speedy manner using the excellent ArcPy module.

ArcPy is installed with ArcGIS for desktop and ArcGIS for server. ArcPy has been the official ArcGIS scripting language since ArcGIS 10.0 and has steadily improved in functionality and implementation. This book will target ArcGIS for Desktop 10.1 and later, and will demonstrate how to make use of Python and its powerful programming libraries (or modules) when crafting complex geospatial analyses.

End of Section 2
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