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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
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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
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

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.

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