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Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

Contributor(s): Jordan, David S (Author)

ISBN: 9781803238128

Publisher: Packt Publishing

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Pub Date: February 28, 2023

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.65" H x 9.25" L x 7.50" W ( 1.17 lbs) 308 pages

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Description: This is a book for anyone who wants to quickly learn to apply spatial thinking and leverage Geospatial Data Science in Python to better comprehend problem statements and come up with the best possible results.

Brief description: David S. Jordan has made a career out of applying spatial thinking to tough problem spaces in the domains of real estate planning, disaster response, social equity, and climate change. He currently leads distribution and geospatial data science at JPMorgan Chase & Co. In addition to leading and building out geospatial data science teams, David is a patented inventor of new geospatial analytics processes, a winner of a Special Achievement in GIS (SAG) Award from Esri, and a conference speaker on topics including banking deserts and how great businesses leverage GIS.

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