ArcGIS

  • playlist | Oxford only

    Playlist for Matlab is a high-performance language for technical computing. This course provides a working introduction to the Matlab technical computing environment. Themes of data analysis, visualization, and programming are explored throughout the course.

  • website | Publicly viewable

    The Bodleian Libraries provide help and guidance with the use of ArcGIS. Some resources are available here in the portfolio (search for arcGIS for example)

  • course pack | Oxford only

    This four-session course covers the map-making aspects of ArcGIS Desktop and introduces its analytical functionality. Powerful and relatively complex, Desktop is the industry standard for geographic information systems (GIS) software. ArcGIS Explorer is designed to store, query, analyse, process, and visualise spatial data. It is typically used for making maps and performing spatial analysis.

  • course pack | Oxford only

    ArcGIS Explorer is a free, basic and easy-to-use geographic information system (GIS). GIS is used for making maps and performing spatial queries and analysis. While the functionality of Explorer is very limited, and probably inadequate for many university-level users, it is taught here as an important stepping stone to the more complex and powerful ArcGIS Desktop.

  • course pack | Oxford only

    This session covers intermediate-level skills in working in ArcGIS Explorer. Explorer is a basic and easy-to-use desktop geographic information system (GIS) that is free to download. It is part of the ArcGIS software range, which also includes web-based and mobile GIS, as well as the much more powerful ArcGIS Desktop. GIS is designed to store, query, analyse, process, and visualise spatial data. It is typically used for making maps and performing spatial analysis.

  • learning activity | Publicly viewable

    1 sentence teaser text for the search results list

  • on-line course | Publicly viewable

    A free interactive course covering key research data management issues, designed for doctoral students and anyone else planning a project using digital data.

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