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ArcPy and ArcGIS: Geospatial Analysis with Python, by Silas Toms
Ebook ArcPy and ArcGIS: Geospatial Analysis with Python, by Silas Toms
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Use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS
About This Book- Perform GIS analysis faster by automating tasks, such as selecting data or buffering data, by accessing GIS tools using scripting
- Access the spatial data contained within shapefiles and geodatabases, for updates, analysis and even transformation between spatial reference systems
- Produce map books and automate the mapping of geospatial analyses, reducing the time needed to produce and display the results
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.
What You Will Learn- Understand how to integrate Python into ArcGIS and make GIS analysis faster and easier
- Model an analysis and export it to Python for further improvement
- Create Python functions from exported scripts using ArcToolbox tools to avoid repetitive code
- Update the records of interest in your existing geospatial data automatically using data cursors
- Add new geospatial data to existing datasets automatically from field-collected data or data produced during analysis
- Export formatted analysis results to spreadsheets automatically
- Update map documents with analysis-generated data and export maps to PDF or image formats
- Create geometric networks and analyze routes using scripts
ArcGIS allows for complex analyses of geographic information. The ArcPy module is used to script these ArcGIS analyses, providing a productive way to perform geo-analyses and to automate map production.
This book will guide you from basic Python scripting to advanced ArcPy script tools. This book starts off with setting up your Python environment, demonstrates a complex ArcPy script tool with multiple iterations, illustrates data access module cursors, and explains how to use ArcPy Geometry classes. Then, you will learn how to output maps using ArcPy.Mapping, and how to create ArcGIS script tools.
With the help of this book, you will be able to create repeatable analyses reducing the time-consuming nature of GIS, making you into a GIS professional as powerful as a whole team.
- Sales Rank: #259721 in Books
- Published on: 2015-02-25
- Released on: 2015-02-26
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .51" w x 7.50" l, .86 pounds
- Binding: Paperback
- 210 pages
About the Author
Silas Toms
Silas Toms is a geospatial programmer and analyst with a love of geography, history, food, and sports. He resides in the San Francisco Bay Area and can't decide which side of the Bay is more beautiful. He received a bachelor's degree in Geography from Humboldt State University and is currently pursuing a master's degree in GIS at San Francisco State University. With a background in GIS analysis for city governments and environmental consulting, Silas loves the combination of GIS and Python for analysis automation and data manipulation. Working for Arini Geographics, Silas is helping governments understand how GIS can organize and simplify the management of infrastructure and the environment. This dual role as a programmer and analyst allows him to use Python and GIS to quickly produce geospatial data and tools. Combined with web mapping, these tools are transforming how governments work to serve the public. He also teaches workshops on ArcPy and web mapping at the City College of San Francisco, while hoping to one day finish his master's thesis. Silas has worked as a reviewer on the book Python Geospatial Analysis, Packt Publishing and is working on the book Python Geospatial Development, Packt Publishing to be published in 2015.
Most helpful customer reviews
1 of 1 people found the following review helpful.
I also like that he talks about the PYTHONPATH
By Caleb Mackey
Silas Toms book on Arcpy and ArcGIS scripting is a very comprehensive introduction to Python in the ArcGIS environment. The book starts out with the basics of Python (data types, iteration, concepts). I also like that he talks about the PYTHONPATH, the Python interpreter and what happens under the hood when a script is ran. This is an important concept that seems to be often overlooked in ArcGIS Python scripting books.
After covering the basics and important background information, the book dives right into some of the ArcPy functionality with some of the geoprocessing tools and onto more advanced concepts such as cursors. One thing that I like before getting too deep into ArcGIS scripting, the author introduces some best practices and pushes the use of functions for code reusability. The author discusses how create and pass in parameters into custom functions and makes good use of doc strings.
After introducing cursors, the book covers an important concept that seems to be lacking in other ArcGIS books which is working with geometry objects. This can allow for creating features programmatically with full control and the class methods allow for powerful spatial analysis. There is another section on advanced geometry methods later in the book.
Next, the book moves into creating script tools. This is a really nice section that introduces ArcGIS’s built-in framework for turning Python scripts into fully functional toolbox tools with the same familiar GUI. Parameter types are discussed as well as how to pass the parameters from the user input via the script tool interface into the script for execution. One thing I feel that was missing from this section was information on the Tool Validator Class. This is a key piece of making script tools and I feel this section would be stronger if this piece were included.
Another important ArcGIS scripting element included in this book is map automation using the arcpy.mapping module. Important time saving concepts are covered here such as fixing broken data links, updating map surround elements, layers, and exporting maps. One important piece that these chapters drive home is the use of objects and Object Oriented Programming. This feeds in nicely to the next chapter on advanced geometry methods and wraps up how to use objects very nicely in my opinion. Creating custom Python packages are also discussed here which is helpful when maintaining your own custom libraries.
Chapter 11 covers some basic operations in the Network Analyst and Spatial Analyst extensions available in ArcGIS. This chapter shows how to check licenses in and out and some of the important concepts to understand before using the extensions (such as how to set up a Network Dataset). Practical examples are used to extract elevation information at bus stop locations.
The final chapter is a nice wrap up of all the content discussed in the book. The author also shows some miscellaneous tricks and tips that can make life easier in the ArcGIS scripting environment. At this point the author tells the reader that they are ready to explore more on their own. Overall, I think this book is an excellent place to start and even a good reference for seasoned Python programmers in an ArcGIS environment. I highly recommend this book to anyone who wants to learn Python scripting in ArcGIS!
1 of 1 people found the following review helpful.
Well written coverage of interesting analytical techniques
By Amazon Customer
As the prior 3 reviewers note, this is a useful and interesting book. I applaud its emphasis on spatial analysis/data manipulation rather than clever map production (although there's some of that too). I especially like the extended project involving stops on a San Francisco bus route and the extraction of census data for buffers around such points. Obviously with a little thought the techniques discussed can easily be translated to develop a trading-area analysis, as retail-store site analysts do, or to develop more sophisticated econometric or appraisal analyses than are commonly seen. The progression of topics, from automating/generalizing/pythonizing an ESRI workflow to more advanced python tasks is also nicely done.
Full disclosure: Packt invited me to review this work and provided the e-book I used.
2 of 2 people found the following review helpful.
Good first reference and supplementary material for those new to python and scripting with arcpy.
By Steven Porter
If you are a new hire to the GIS industry as a specialist or analyst, convince your boss to get you this book now. Learning how to automate workflows in arcgis can be some serious timesaving. (Or buy it yourself and don't tell them, then drink coffee and browse reddit all day instead). The author undertook an ambitious goal; try to write a book to teach python and teach arcpy. This book would be a good starting point for those completely new to using arcpy and python that are wishing to incorporate it into their ArcGIS workflows (because who likes using the ESRI user interfaces and clicking all day long). It is a great basic recipe book with sample scripts on various topics that combined with the ArcGIS help pages can help one jump-start a scripted workflow. For new learners, I would recommend learning some python basics on a website like codecadamy then starting this book so that you have many of the basics down first, as the introduction to python in this book is brief and fast. For those already competent with python and have tackled several arcpy scripts on your own, this book is not for you, but may still serve as reference material. If you are looking to learn some of the more advanced topics in writing arcgis tools, such as the python toolbox, python add-in, tool progress bars etc; these are not covered as they typically require more advanced python experience than the level this book seeks to introduce to its readers.
PROS: Good starting material. Good examples.
CONS: Python introduction is very brief, and may confuse new learners.
Full Disclosure: I was asked by packt publishing to review this book and they did provide me a free copy.
TLDR: Get the book if you want to get started automating some workflows in arcgis or want more coffee/reddit time.
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