Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location...

Description: FASTSHIPPING HASSLEFREERETURNS SECUREPAYMENT EXCELLENTSERVICE Description 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 Publisher ‏ : ‎ O'Reilly Media; 1st edition Language ‏ : ‎ English Paperback ‏ : ‎ 279 pages ISBN-10 ‏ : ‎ 109810479X ISBN-13 ‏ : ‎ 978-1098104795 Item Weight ‏ : ‎ 1.34 pounds Dimensions ‏ : ‎ 6.75 x 1 x 9 inches SHIPPING Shipping All items fast! The majority of orders are shipped using USPS Priority Mail and UPS Ground if requested. There is an option at checkout to add a Signature of Delivery for extra security & peace of mind. This means you need to sign for your parcel. 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Price: 71.87 USD

Location: Philadelphia, Pennsylvania

End Time: 2024-11-16T17:53:21.000Z

Shipping Cost: 5.99 USD