Handbook of Big Geospatial Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Big Geospatial Data write by Martin Werner. This book was released on 2021-05-07. Handbook of Big Geospatial Data available in PDF, EPUB and Kindle. This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.
Big Data Computing for Geospatial Applications
Big Data Computing for Geospatial Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Computing for Geospatial Applications write by Zhenlong Li. This book was released on 2020-11-23. Big Data Computing for Geospatial Applications available in PDF, EPUB and Kindle. 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.
Big Data
Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data write by Hassan A. Karimi. This book was released on 2014-02-18. Big Data available in PDF, EPUB and Kindle. Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data ef
Big Data Computing for Geospatial Applications
Big Data Computing for Geospatial Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Computing for Geospatial Applications write by Zhenlong Li. This book was released on 2020. Big Data Computing for Geospatial Applications available in PDF, EPUB and Kindle. 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.
Handbook of Applied Spatial Analysis
Handbook of Applied Spatial Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Applied Spatial Analysis write by Manfred M. Fischer. This book was released on 2009-12-24. Handbook of Applied Spatial Analysis available in PDF, EPUB and Kindle. The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.
