The Best New Books To Study Geospatial Data Science
Recent Books in Geospatial Data Science
To learn the concepts and techniques for using Geospatial Data Science, it’s essential to have a solid foundation in spatial concepts and algorithms, data science, and programming languages.
The best way to grasp this material is by reading books on the subject.
There are many books out there on Geospatial Data Analysis. I have curated the latest new books in the field. They can provide an environment for you to learn and explore a new world of Geospatial Data Science.
1. Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence
If you are looking for a comprehensive book to learn spatial data analysis, the newly released “Python for Geospatial Data Analysis” book is for you. You get to know different tools and technologies in Geospatial Python with follow-along case studies and problems. The book is not limited to vector geospatial data analysis but offers raster analysis use cases and examples. The code for this book with Jupyter notebooks is also available freely.
