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      A strontium isoscape of Italy for provenance studies

      , , , , ,
      Chemical Geology
      Elsevier BV

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          Is Open Access

          System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

          The System for Automated Geoscientific Analyses (SAGA) is an open source geographic information system (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly developed from a specialized tool for digital terrain analysis to a comprehensive and globally established GIS platform for scientific analysis and modeling. SAGA is coded in C++ in an object oriented design and runs under several operating systems including Windows and Linux. Key functional features of the modular software architecture comprise an application programming interface for the development and implementation of new geoscientific methods, a user friendly graphical user interface with many visualization options, a command line interpreter, and interfaces to interpreted languages like R and Python. The current version 2.1.4 offers more than 600 tools, which are implemented in dynamically loadable libraries or shared objects and represent the broad scopes of SAGA in numerous fields of geoscientific endeavor and beyond. In this paper, we inform about the system's architecture, functionality, and its current state of development and implementation. Furthermore, we highlight the wide spectrum of scientific applications of SAGA in a review of published studies, with special emphasis on the core application areas digital terrain analysis, geomorphology, soil science, climatology and meteorology, as well as remote sensing.
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            Strontium Isotopes from the Earth to the Archaeological Skeleton: A Review

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              Kriging: a method of interpolation for geographical information systems

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                Author and article information

                Journal
                Chemical Geology
                Chemical Geology
                Elsevier BV
                00092541
                January 2022
                January 2022
                : 587
                : 120624
                Article
                10.1016/j.chemgeo.2021.120624
                177ed854-1042-4c2f-b52f-7c92441293c1
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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