Geocomputation with Python by Michael Dorman (.ePUB)+

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File Size: 37.4 MB

Geocomputation with Python by Michael Dorman, Anita Graser, Jakub Nowosad, Robin Lovelace
Requirements: .ePUB, .PDF reader, 37.4 MB
Overview: Geocomputation with Python is a comprehensive resource for working with geographic data with the most popular programming language in the world. The book gives an overview of Python’s capabilities for spatial data analysis, as well as dozens of worked-through examples covering the entire range of standard GIS operations. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent starting point for those new to working with geographic data with Python, making it ideal for students and practitioners beginning their journey with Python. The book teaches how to import, process, examine, transform, compute, and export spatial vector and raster datasets with Python, the most widely used language for Data Science and many other domains. Reading the book and running the reproducible code chunks within will make you a proficient user of key packages in the ecosystem, including shapely, geopandas, and rasterio.
Genre: Non-Fiction > Tech & Devices

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