References
- Adams, Richard Manly, Jr. 2018. Overcoming disintermediation: a call for librarians to learn to use web service APIs. Library Hi Tech 36 (1):180–90. doi: 10.1108/LHT-03-2017-0056.
- Association of Research Libraries. 1999. The ARL geographic information systems literacy project. SPEC Kit 238:43.
- Bivand, Roger, Edzer J. Pebesma, and Virgilio Gómez-Rubio. 2008. Applied spatial data analysis with R. Use R. New York, NY; London: Springer.
- Bowlick, Forrest J., Daniel W. Goldberg, and Sarah Witham Bednarz. 2017. Computer science and programming courses in Geography Departments in the United States. The Professional Geographer 69 (1):138–50. doi: 10.1080/00330124.2016.1184984.
- Davie, D. Kevin, James Fox, and Barbara Preece. 1999. The ARL Geographic Information Systems Literacy Project. SPEC Kit 238 and SPEC Flyer 238. ARL Distribution Center. https://eric.ed.gov/?id=ED429609
- Esri. 2019a. “Python in ArcGIS Pro—ArcPy Get Started | ArcGIS Desktop.” http://pro.arcgis.com/en/pro-app/arcpy/get-started/installing-python-for-arcgis-pro.htm
- Esri. 2019b. “What Is ArcPy?—ArcPy Get Started | ArcGIS Desktop.” https://pro.arcgis.com/en/pro-app/arcpy/get-started/what-is-arcpy-.htm
- Etherington, Thomas R. 2016. Teaching introductory GIS programming to geographers using an open source python approach. Journal of Geography in Higher Education 40 (1):117–30. doi: 10.1080/03098265.2015.1086981.
- French, Mary. 2000. The ARL GIS literacy project: Support for government data services in the digital library. IASSIST Quarterly 24 (1):19. doi: 10.29173/iq579.
- Gardener, Mark. 2012. Beginning R: The statistical programming language. Somerset, NJ: John Wiley & Sons.
- Hetland, Magnus Lie. 2017. Beginning Python: From novice to professional. New York, NY: Apress.
- Holstein, Ann L. 2015. Geographic information and technologies in academic libraries: An ARL survey of services and support. Information Technology & Libraries 34 (1):38–51.
- Khan, Hammad Rauf, and Yunfei Du. 2018. What is a data librarian?: A content analysis of job advertisements for data librarians in the United States Academic Libraries. Presented at IFLA World Library and Information Congress, Kuala Lumpur, Malaysia, August 24–30.
- Lamont, Melissa. 1997. Managing geospatial data and services. The Journal of Academic Librarianship 23 (6):469. doi: 10.1016/S0099-1333(97)90171-3.
- March, Gregory, and Edith Scarletto. 2017. The evolution of GIS services within North American Academic libraries: Documenting change through the decades (1995–2016). Journal of Map & Geography Libraries 13 (2):222–45. doi: 10.1080/15420353.2017.1313803.
- Marrs, Tom. 2017. JSON at work: Practical data integration for the web. Sebastopol, CA: O’Reilly Media.
- Michel, Jason Paul. 2013. Web service APIs and libraries. Chicago, IL: ALA Editions.
- Muller, Catherine L., and Chris Kidd. 2014. Debugging geographers: teaching programming to non-computer scientists. Journal of Geography in Higher Education 38 (2):175–92. doi: 10.1080/03098265.2014.908275.
- Nelli, Fabio. 2015. Python data analytics: Data analysis and science using PANDAs, Matplotlib and the Python Programming Language. Berkeley, CA: Apress.
- OSGeo. 2019a. “About OSGeo.” OSGeo. https://www.osgeo.org/about/
- OSGeo. 2019b. “GDAL Wiki.” https://trac.osgeo.org/gdal/#GDALOGRInOtherLanguages
- OSGeo. 2019c. “GDAL/OGR.” OSGeo. https://www.osgeo.org/projects/gdal/
- Ozgur, Ceyhun, Taylor Colliau, Grace Rogers, Zachariah Hughes, and Elyse Myer-Tyson. 2017. MatLab vs. Python vs. R. Journal of Data Science 15 (2017):355–72.
- Popowich, Sam. 2017. Coding and professional development—Part 1: a study in contradictions. Partnership: The Canadian Journal of Library and Information Practice and Research 12 (1):1–9. doi: 10.21083/partnership.v12i1.3961.
- Scholtz, Nicole. 2016. Supporting geospatial data. In Databrarianship: The academic data librarian in theory and practice, eds. Lynda Kellam and Kristi Thompson, 127–35. Chicago, IL: Association of College and Research Libraries.
- Semeler, Alexandre Ribas, Adilson Luiz Pinto, and Helen Beatriz Frota Rozados. 2017. Data science in data librarianship: Core competencies of a data librarian. Journal of Librarianship and Information Science 51 (3):771–80. doi: 10.1177/0961000617742465.
- Srivastava, Naveenchandra. 2018. Emerging trends in open source geographic information systems. Hershey, PA: IGI Global.
- The R Foundation. 2019. “R: What is R?” 2019. https://www.r-project.org/about.html
- Weimer, Katherine, Paige Andrew, and Tracey Hughes, eds. 2008. Map, GIS and Cataloging/Metadata Librarian Core Competencies. American Library Association Map and Geography round Table. http://www.ala.org/rt/sites/ala.org.rt/files/content/publicationsab/MAGERTCoreComp2008.pdf
- Yu, Lixin. 1998. Geographic information systems in library reference services. The Reference Librarian 28 (60):87–110. doi: 10.1300/J120v28n60_06.