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    1. GIS | Duke University Libraries

      Traditionally, you need software such as ArcGIS  or QGIS  for complex data analysis tasks or customized visual output.  While that’s (...)

    2. Online Learning | Duke University Libraries

      We'll discuss aspects of the AGOL organizational account, adding and accessing content, creating map and feature services, creating and sharing (...)

    3. Staffing and Contact Information | Duke University Libraries

      Drew Keener GIS Specialist Phone: (919) 613-6256 Location: 226 Bostock Email: drew.keener@duke.edu Expertise: Web mapping applications, (...)

    4. About the Center for Data and Visualization Sciences | Duke University Libraries

      Drew Keener Map and Geospatial Data Specialist Email: drew.keener@duke.edu Expertise: Web mapping applications, spatial data (...)

    5. Hartman Center Travel Grant Previous Recipients | Duke University Libraries

      Lowery , Public Policy, University of Southern California “The Consumable Landscapes of Los Angeles:  How the Spatial Ecology of (...)

    6. Mary Lily Research Grant Recipients | Duke University Libraries

      Paula Ramos , Independent Researcher, “Spatiality and gender: spatial circumstances of the creative process of feminist artists in the (...)

    7. DH projects in Chinese studies - Chinese Studies - LibGuides at Duke University

      With both online and offline versions, the data is meant to be useful for statistical, social network, and spatial analysis as (...)

    8. Chinese biographical information - Chinese Studies - LibGuides at Duke University

      With both online and offline versions, the data is meant to be useful for statistical, social network, and spatial analysis as (...)

    9. Overview - R: Mapping and Geospatial - LibGuides at Duke University

      Strong on raster analysis. r-spatial Blog about spatial data analysis and visualization using R.

    10. Overview - R: Mapping and Geospatial - LibGuides at Duke University

      Strong on raster analysis. r-spatial Blog about spatial data analysis and visualization using R.

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