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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : PACKT PUBLISHING LIMITED
    ISBN: 9781835084557 , 1835084559 , 9781835083147
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (37 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: 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
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 3
    Orig.schr. Ausgabe: 初版.
    Title: Pythonによる地理空間データ分析 : : 例題で学ぶロケーションインテリジェンス /
    Publisher: オライリー・ジャパン,
    ISBN: 9784814400324 , 4814400322
    Language: Japanese
    Pages: 1 online resource (272 pages)
    Edition: Shohan.
    Uniform Title: Python for geospatial data analysis
    DDC: 910.285
    Keywords: Geospatial data Computer processing ; Python (Computer program language) ; Données géospatiales ; Informatique ; Python (Langage de programmation)
    Abstract: "Tobler's first law of geography states, "Everything is related to everything else, but near things are more related than distant things." But if you look at Tobler's second law, "Phenomena external to a geographic area of interest affect what goes on inside it," you can see why a geographer and data analyst brings the science of location into data stories and large-scale research projects. With this practical book, geospatial professionals, data scientists, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis."
    Note: Includes bibiographical references , In Japanese.
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