Text
Handbook of big geospastial data
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 spasio -textual analysis, uncertain database, and spasial statistic with application examples such as road network detection or colocation detrection using GPUs. In summary, this handbook gives and 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 social, govermmental and governance perspective. It discusses questions of how the acquisition, distribution and explotation 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 database. A Third perspective is taking a verry practical perspective to big geospatial data, ranging from chapter 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 collection and social media. This multi-disciplinary approach makes the book unique.
B20211227110 | 302.23 MAR h | Perpustakaan BIG (300) | Tersedia |
Tidak tersedia versi lain