November 2023
Beginner to intermediate
432 pages
10h 27m
English
Content preview from Learning Geospatial Analysis with Python - Fourth Edition
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Assessments
Chapter 1 – Learning about Geospatial Analysis with Python
- The Canadian Department of Forestry and Rural Development
- Thematic map
- The capability to display geographic data and the capability to analyze it
Chapter 2 – Learning about Geospatial Data
- Vector and raster data
- Spatial indexing algorithms
- x, y, z: x is the east-west axis, y is the north-south axis, and z is the height or elevation
Chapter 3 – The Geospatial Technology Landscape
- Data access, computational geometry, image processing, desktop tools (and other visualization tools), and metadata management.
- If the software is built on existing libraries, what value does it add? Why did the developers create it?
Chapter 4 – Geospatial Python Toolbox
- Anaconda and pip
- numpy ...
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