Download the fantastic book titled Big Data Computing for Geospatial Applications written by Zhenlong Li, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Big Data Computing for Geospatial Applications", which was released on 20 May 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.
Summary of Big Data Computing for Geospatial Applications by Zhenlong Li PDF
The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.
Detail About Big Data Computing for Geospatial Applications PDF
- Author : Zhenlong Li
- Publisher : Anonim
- Genre :
- Total Pages : 222 pages
- ISBN : 9783039432455
- Release Date : 20 May 2024
- PDF File Size : 13,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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