Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas

作者: Silas Toms Bill Parker
出版社: Packt Publishing
出版在: 2022-04-29
ISBN-13: 9781803241661
ISBN-10: 1803241667
裝訂格式: Quality Paper - also called trade paper
總頁數: 586 頁





內容描述


Key Features

Learn the core components of the two Python modules for ArcGIS: ArcPy and ArcGIS API for Python
Use ArcPy, pandas, NumPy, and ArcGIS in ArcGIS Pro Notebooks to manage and analyze geospatial data at scale
Integrate with ArcGIS Online using Python to publish and manage data

Book Description
Integrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results.
Starting from programming basics and building in complexity, two experienced ArcGIS professionals-turned-Python programmers teach you how to incorporate scripting at each step: 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 and visualization on top of the ArcGIS geospatial library, all using Python.
You'll use ArcGIS Pro Notebooks to explore and analyze geospatial data, and write data engineering scripts to manage ongoing data processing and data transfers. This exercise-based book also includes three rich real-world case studies, giving you an opportunity to apply and extend the concepts you studied earlier.
Irrespective of your expertise level with Esri software or the Python language, you'll benefit from this book's hands-on approach, which takes you through the major uses of Python for ArcGIS Pro to boost your ArcGIS productivity.
What you will learn

Automate map production to make and edit maps at scale, cutting down on repetitive tasks
Publish map layer data to ArcGIS Online
Automate data updates using the ArcPy Data Access module and cursors
Turn your scripts into script tools for ArcGIS Pro
Learn how to manage data on ArcGIS Online
Query, edit, and append to feature layers and create symbology with renderers and colorizers
Apply pandas and NumPy to raster and vector analysis
Learn new tricks to manage data for entire cities or large companies

Who this book is for
This book is ideal for anyone looking to add Python to their ArcGIS Pro workflows, even if you have no prior experience with programming. This includes 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 Programmer; or GIS Developer/Programmer to a GIS Architect. Basic familiarity with geospatial/GIS syntax, ArcGIS, and data science (pandas) is helpful, though not necessary.


目錄大綱


Table of Contents

Introduction to Python for GIS
Basics of ArcPy
ArcGIS API for Python
The Data Access Module and Cursors
Publishing to ArcGIS Online
ArcToolbox Script Tools
Automated Map Production
Pandas, Data Frames, and Vector Data
Raster Analysis with Python
Geospatial Data Processing with NumPy
Case Study: ArcGIS Online Administration and Data Management
Case Study: Advanced Map Automation
Case Study: Predicting Crop Yields


作者介紹


Silas Toms is a long-time geospatial professional and author who has previously published ArcPy and ArcGIS and Mastering Geospatial Analysis with Python. His career highlights include developing the real-time common operational picture used at Super Bowl 50, building geospatial software for autonomous cars, designing computer vision for next-gen insurance, and developing mapping systems for Zillow. He now works at Volta Charging, predicting the future of electric vehicle adoption and electric charging infrastructure.
Bill Parker is a GIS Professional with over 15 years of GIS and Python experience. He previously worked at ICF as a GIS lead on large scale environmental projects, using ArcPy to automate GIS analyses and map production. His project highlights include being the GIS lead for the Caltrain Modernization EIR/S, California High Speed Rail Project San Jose to Merced, and San Francisco to San Jose EIR/S.




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