April 2018
Beginner to intermediate
440 pages
11h 36m
English
Content preview from Mastering Geospatial Analysis with Python
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What this book covers
Chapter 1, Package Installation and Management, explains how to install and manage the code libraries used in the book.
Chapter 2, Introduction to Geospatial Code Libraries, covers the major code libraries used to process and analyze geospatial data.
Chapter 3, Introduction to Geospatial Databases, introduces the geospatial databases used for data storage and analysis.
Chapter 4, Data Types, Storage, and Conversion, focuses on the many different data types (both vector and raster) that exist within GIS.
Chapter 5, Vector Data Analysis, covers Python libraries such as Shapely, OGR, and GeoPandas. which are used for analyzing and processing vector data.
Chapter 6, Raster Data Processing, explores using GDAL and Rasterio ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.