Description: Applied Geospatial Data Science with Python by David S. Jordan Estimated delivery 3-12 business days Format Paperback Condition Brand New 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. Publisher Description Intelligently connect data points and gain a deeper understanding of environmental problems through hands-on Geospatial Data Science case studies written in PythonThe book includes colored images of important conceptsKey FeaturesLearn how to integrate spatial data and spatial thinking into traditional data science workflowsDevelop a spatial perspective and learn to avoid common pitfalls along the wayGain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expandedBook DescriptionData scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python.Throughout this book, youll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. Youll learn how to read, process, and manipulate spatial data effectively. With data in hand, youll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, youll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries.By the end of the book, youll be able to tackle random data, find meaningful correlations, and make geospatial data models.What you will learnUnderstand the fundamentals needed to work with geospatial dataTransition from tabular to geo-enabled data in your workflowsDevelop an introductory portfolio of spatial data science work using PythonGain hands-on skills with case studies relevant to different industriesDiscover best practices focusing on geospatial data to bring a positive change in your environmentExplore solving use cases, such as traveling salesperson and vehicle routing problemsWho this book is forThis book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. Youll need to have a foundational knowledge of Python for data analysis and/or data science. Author Biography 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. Details ISBN 1803238127 ISBN-13 9781803238128 Title Applied Geospatial Data Science with Python Author David S. Jordan Format Paperback Year 2023 Pages 308 Publisher Packt Publishing Limited GE_Item_ID:141930612; About Us Grand Eagle Retail is the ideal place for all your shopping needs! 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Price: 69.8 USD
Location: Fairfield, Ohio
End Time: 2024-11-20T04:22:42.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Refund will be given as: Money Back
ISBN-13: 9781803238128
Book Title: Applied Geospatial Data Science with Python
Number of Pages: 308 Pages
Publication Name: Applied Geospatial Data Science with Python : Take Control of Implementing, Analyzing, and Visualizing Geospatial and Spatial Data with Geopandas and More
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2023
Subject: Machine Theory, Earth Sciences / Geography
Type: Textbook
Item Length: 92.5 in
Subject Area: Computers, Science
Author: David S. Jordan
Item Width: 75 in
Format: Trade Paperback
