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Python for ArcGIS Pro: Automate Cartography and Data Analysis using ArcGIS Python modules, Jupyter Notebooks, and Pandas


The book leads the reader through the major uses of Python programming for ArcGIS Pro - map production, online and offline data management, data analyses, and data visualization. It shows various Python programming options for ArcGIS Pro, and how to integrate them together into a smarter workflow. You’ll learn how to use popular Python packages such as Jupyter Notebooks and pandas to explore and analyze geospatial data, and how to write data engineering scripts to manage ongoing data processing and data transfers. The book concludes with 3 real-world case studies where you’ll apply the concepts you studied earlier.
By the end of this book, you will be able to use Python to perform all the major tasks involved with ArcGIS Pro: automating the production of maps for print, managing data between ArcGIS Pro and ArcGIS Online, creating custom script tools for sharing, and then running data analysis on top of the ArcGIS geospatial library, all using Python.
What you will learnAutomate map production to make or edit maps at scaleUse Python to automatically update data for ArcGIS OnlinePublishing map layer data to the ArcGIS Online cloud serviceAutomation of data updates and insertsCreate custom script tools for use in ArcGIS Pro and for managing data on ArcGIS OnlineCloud integration with Jupyter notebooks for data science with the panda's toolkitLeverage Jupyter Notebooks interface and the Pandas library (with its underlying NumPy module) to make geospatial data science faster and more interestingWho This Book Is For
This book is for ArcGIS professionals, intermediate ArcGIS Pro users, ArcGIS Pro power users, students, and people who want to move from being a GIS Technician to GIS Analyst; GIS Analyst to GIS Programmers; and GIS Developers/Programmers to GIS Architects.
William Parker - Personal Name
Silas Toms - Personal Name
526 Par p
978-1-80324-166-1
526
Elektronik/Digital
Inggris
Packt Publishing
2021
Birmingham
115 hlm.
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