Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence - Brossura

McClain, Bonny P

 
9781098104795: Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence
Brossura
ISBN 10: 109810479X ISBN 13: 9781098104795
Casa editrice: O'Reilly Media, 2022

Sinossi

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.

Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python.

This book helps you:

  • Understand the importance of applying spatial relationships in data science
  • Select and apply data layering of both raster and vector graphics
  • Apply location data to leverage spatial analytics
  • Design informative and accurate maps
  • Automate geographic data with Python scripts
  • Explore Python packages for additional functionality
  • Work with atypical data types such as polygons, shape files, and projections
  • Understand the graphical syntax of spatial data science to stimulate curiosity

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
O'Reilly Media
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
109810479X
ISBN 13 
9781098104795
Rilegatura
Copertina flessibile
Numero di pagine
279
Contatto del produttore
non disponibile
Persona responsabile
non disponibile