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You're reading from Mastering Geospatial Analysis with Python Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788293334

Length 440 pages

Edition 1st Edition

Languages

Python

Tools

Anaconda

Concepts

Geospatial Analysis

Authors (3):

Silas Toms

Paul Crickard

Eric van Rees

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Table of Contents (18) Chapters

Preface

1. Package Installation and Management FREE CHAPTER

2. Introduction to Geospatial Code Libraries

3. Introduction to Geospatial Databases

4. Data Types, Storage, and Conversion

5. Vector Data Analysis

6. Raster Data Processing

7. Geoprocessing with Geodatabases

8. Automating QGIS Analysis

9. ArcGIS API for Python and ArcGIS Online

10. Geoprocessing with a GPU Database

11. Flask and GeoAlchemy2

12. GeoDjango

13. Geospatial REST API

14. Cloud Geodatabase Analysis and Visualization

15. Automating Cloud Cartography

16. Python Geoprocessing with Hadoop

17. Other Books You May Enjoy

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ArcGIS API for Python and ArcGIS Online

This chapter will introduce the ArcGIS Application Program Interface (API) for Python and ArcGIS Online. The ArcGIS API for Python is a Python library for working with maps and geospatial data. This API can be installed locally using conda and interacts with Esri's cloud GIS, whether that's ArcGIS Online (SaaS) or Portal for ArcGIS, a server product that offers on-premises cloud GIS deployment for organizations. The API offers a modern solution to scripting for web mapping with Python and works well with Jupyter Notebooks.

The following topics will be covered in this chapter:

Introducing the ArcGIS API for Python
Installing the API
Using the API with different Esri user accounts
Introducing some modules of the API
Interacting with the API's map widget
Searching and displaying vector data
Displaying and geoprocessing...

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Authors (3)

Toms

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.

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Eric van Rees

Eric van Rees was first introduced to Geographical Information Systems (GIS) when studying Human Geography in the Netherlands. For 9 years, he was the editor-in-chief of GeoInformatics, an international GIS, surveying, and mapping publication and a contributing editor of GIS Magazine. During that tenure, he visited many geospatial user conferences, trade fairs, and industry meetings. He focuses on producing technical content, such as software tutorials, tech blogs, and innovative new use cases in the mapping industry.

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Paul Crickard

Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.

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