Zandbergen P. - Python Scripting for ArcGIS [2013, PDF, ENG] torrent

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Python Scripting for ArcGIS

Год издания: 2013
Автор: Zandbergen P.

Издательство: Esri Press
ISBN: 978-1-58948-282-1
Язык: Английский

Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 368

Описание: Python Scripting for ArcGIS is a guide to help experienced users of ArcGIS® for Desktop get started with Python® scripting. This book teaches how to write Python code that works with spatial data to automate geoprocessing tasks in ArcGIS. Readers can thus learn the skill set needed to create custom tools. The book contains 14 chapters, with the corresponding data and exercises on the accompanying DVD. A 180-day trial of ArcGIS 10.1 for Desktop software is also provided as an online download.

Key topics in this book include:

- Python language fundamentals
- Automating geoprocessing tasks
- Exploring and manipulating spatial data
- Working with geometries and rasters
- Map scripting
- Debugging and error handling
- Creating functions and classes
- Creating and sharing script tools
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Contents
Preface_________________________________________________xi
Part 1: Learning the fundamentals of Python and geoprocessing___ 1
Chapter 1: Introducing Python_ ___________________________________ 3
Chapter 2: Geoprocessing in ArcGIS______________________________ 21
Chapter 3: Using the Python window_____________________________ 49
Chapter 4: Learning Python language fundamentals________________ 59
Part 2: Writing scripts____________________________________________93
Chapter 5: Geoprocessing using Python_ _________________________ 95
Chapter 6: Exploring spatial data________________________________ 123
Chapter 7: Manipulating spatial data_____________________________ 139
Chapter 8: Working with geometries_____________________________ 159
Chapter 9: Working with rasters_________________________________ 177
Part 3: Carrying out specialized tasks___________________________ 195
Chapter 10: Map scripting______________________________________ 197
Chapter 11: Debugging and error handling_ ______________________ 227
Chapter 12: Creating Python functions and classes_ ______________ 251
Part 4: Creating and using script tools__________________________ 269
Chapter 13: Creating custom tools______________________________ 271
Chapter 14: Sharing tools_______________________________________ 303
Appendix A Data source credits__________________________ 323
Appendix B Data license agreement_______________________ 327
Appendix C Installing the data and software_ ______________ 331
Index________________________________________________ 337
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