04098nam 22007335 450 991041192060332120200720133053.03-030-47998-610.1007/978-3-030-47998-5(CKB)4100000011354773(DE-He213)978-3-030-47998-5(MiAaPQ)EBC6273233(PPN)260304824(EXLCZ)99410000001135477320200720d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierHigh Performance Computing for Geospatial Applications /edited by Wenwu Tang, Shaowen Wang1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XIII, 296 p. 94 illus., 70 illus. in color.) Geotechnologies and the Environment,2365-0575 ;233-030-47997-8 This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.Geotechnologies and the Environment,2365-0575 ;23Remote sensingBig dataSociophysicsEconophysicsComputer simulationEnvironmental sciencesLandscape ecologyRemote Sensing/Photogrammetryhttps://scigraph.springernature.com/ontologies/product-market-codes/J13010Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Data-driven Science, Modeling and Theory Buildinghttps://scigraph.springernature.com/ontologies/product-market-codes/P33030Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Environmental Science and Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/G37000Landscape Ecologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L19058Remote sensing.Big data.Sociophysics.Econophysics.Computer simulation.Environmental sciences.Landscape ecology.Remote Sensing/Photogrammetry.Big Data.Data-driven Science, Modeling and Theory Building.Simulation and Modeling.Environmental Science and Engineering.Landscape Ecology.004.35Tang Wenwuedthttp://id.loc.gov/vocabulary/relators/edtWang Shaowenedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910411920603321High Performance Computing for Geospatial Applications2065753UNINA