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Advances in geo-spatial information science / Editors: Wenzhong Shi, Michael F. Goodchild, Brian Lees & Yee Leung
Boca Raton, FL : CRC Press, 2012
332 tr. ; cm.
Ký hiệu phân loại (DDC): 910.285
"Covering recent advances regarding fundamental issues of geo-spatial information science (space and time, spatial analysis, uncertainty modeling and geo-visualization), and new scientific and technological research initiatives for geo-spatial information science (such as spatial data mining, mobile data modeling and location-based services), Advances in Geo-Spatial Information Science will be of interest for academics and professionals interested in spatial information science, spatial data handing and modeling of geographic systems"
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Geospatial analysis : a comprehensive guide to principles, techniques and software tools / Michael J De Smith; Michael F Goodchild; Paul Longley
[London] : The Winchelsea Press, 2018
617 pages. : illustrations, maps ; 26 cm
Ký hiệu phân loại (DDC): 910.285
"In this Guide we address the full spectrum of spatial analysis and associated modeling techniques that are provided within currently available and widely used geographic information systems (GIS) and associated software. Collectively such techniques and tools are often now described as geospatial analysis, although we use the more common form, spatial analysis, in most of our discussions. The interactive web version of this Guide may be accessed via the associated Internet site: www.spatialanalysisonline.com. The contents and sample sections of the PDF version may also be accessed from this site. In both cases the information is regularly updated."
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The Rise of Big Spatial Data / Igor Ivan, Alex Singleton, Jiří Horák
Cham, Switzerland : Springer, 2017
418 tr. ; cm.
Ký hiệu phân loại (DDC): 910.285
This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16-18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data era: though it's in sight, it isn't quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual.
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