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Mastering Geospatial Analysis with Python

You're reading from  Mastering Geospatial Analysis with Python

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788293334
Pages 440 pages
Edition 1st Edition
Languages
Authors (3):
Silas Toms Silas Toms
Profile icon Silas Toms
Paul Crickard Paul Crickard
Profile icon Paul Crickard
Eric van Rees Eric van Rees
Profile icon Eric van Rees
View More author details

Table of Contents (23) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Package Installation and Management 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 1. Other Books You May Enjoy Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

ArcGIS Pro 2.x CookbookTripp Corbin, GISP

ISBN: 978-1-78829-903-9

  • Edit data using standard tools and topology
  • Convert and link data together using joins and relates
  • Create and share data using Projections and Coordinate Systems
  • Access and collect data in the field using ArcGIS Collector
  • Perform proximity analysis and map clusters with hotspot analysis
  • Use the 3D Analyst Extension and perform advanced 3D analysis
  • Share maps and data using ArcGIS Online via web and mobile apps

 

Mapping with ArcGIS ProAmy Rock, Ryan Malhoski

ISBN: 978-1-78829-800-1

  • Using ArcGIS Pro to create visually stunning maps and make confident cartographic decisions
  • Leverage precise layout grids that will organize and guide the placement of map elements
  • Make appropriate decisions about color and symbols
  • Critically evaluate and choose the perfect projection for your data
  • Create clear webmaps that focus the reader’s attention using ArcGIS Online’s Smart Mapping capabilities
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