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Author Moser, Aurelia, author.

Title Geospatial data and analysis : the landscape of sources, tools, and use cases / Aurelia Moser, Jon Bruner, and Bill Day. [O'Reilly electronic resource]

Edition First edition.
Publication Info. Sebastopol, CA : O'Reilly Media, 2017.
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Description 1 online resource (1 volume) : illustrations
Summary Geospatial data, or data with location information, is generated in huge volumes every day by billions of mobile phones, IoT sensors, drones, nanosatellites, and many other sources in an unending stream. This practical ebook introduces you to the landscape of tools and methods for making sense of all that data, and shows you how to apply geospatial analytics to a variety of issues, large and small. Authors Aurelia Moser, Jon Bruner, and Bill Day provide a complete picture of the geospatial analysis options available, including low-scale commercial desktop GIS tools, medium-scale options such as PostGIS and Lucene-based searching, and true big data solutions built on technologies such as Hadoop. You'll learn when it makes sense to move from one type of solution to the next, taking increased costs and complexity into account. Explore the structure of basic webmaps, and the challenges and constraints involved when working with geo data Dive into low- to medium-scale mapping tools for use in backend and frontend web development Focus on tools for robust medium-scale geospatial projects that don't quite justify a big data solution Learn about innovative platforms and software packages for solving issues of processing and storage of large-scale data Examine geodata analysis use cases, including disaster relief, urban planning, and agriculture and environmental monitoring.
Subject Geospatial data.
Geographic information systems.
Geographic Information Systems
Données géospatiales.
Systèmes d'information géographique.
geographic information systems.
Geographic information systems
Geospatial data
Added Author Bruner, Jon, author.
Day, Bill, author.
Other Form: Print version: Moser, Aurelia. Geospatial data and analysis : the landscape of sources, tools, and use cases. Sebastopol, California : O'Reilly Media, 2017 9781491940556
ISBN 9781491984314
1491984317
1491940557
9781491940556
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