Further reading
For an expanded coverage how the topics discussed during the course can be implemented in R, see Pebesma (2022), Tennekes (2022), Pebesma and Bivand (2023), Gimond (2022), Moraga (2023) and Lovelace, Nowosad, and Muenchow (2024).
For more details on GIS and mapping, see Crampton (2010) and Bolstad and Manson (2023). The series of blogposts, The “correct” map and The true size of countries by Miguel García Álvarez provides a very useful overview of Coordinate Reference Systems and cartographic projections. Also, for an entertaining and didactic introduction to maps in general, see Paulina Rowińska’s book: Mapmatics: A mathematician’s guide to navigating the world.
For a more detailed discussion on how historians use GIS tools, see I. N. Gregory and Ell (2007), Knowles and Hillier (2008), Martí-Henneberg (2011), I. Gregory and Geddes (2014), I. Gregory, DeBats, and Lafreniere (2018); Lawson, Bavaj, and Struck (2021), Travis, Ludlow, and Gyuris (2020), Cole and Giordano (2022), Mogorovich and Salvatori (2022) and McDonough (2024). Spatial history nonetheless comes in a variety of forms, not necessarily involving using GIS tools (Bavaj 2022). Maps actually constitute another historical source, so they contain useful information that helps knowing more about the past. In this regard, historians of maps and mapping practices often study maps as cultural objects (McDonough 2024, 99). Schulten (2012) and Spychal (2024), for instance, trace the growing use of maps in the US and UK during the 19th century as tools for shaping history, policy and national identity.
For the humanities in general see Bodenhamer, Corrigan, and Harris (2010), Presner and Shepard (2015) and Bodenhamer, Corrigan, and Harris (2010) for a discussion on the geospatial turn in the humanities in general. Cooper, Donaldson, and Murrieta-Flores (2016) is specifically aimed at mapping in literary studies.
For the social social sciences, especially for economics, see Overman (2010) or Kudamatsu (2018). In this field, it is common to model spatial dependencies in regression analysis. An introduction in R can be found in Pebesma and Bivand (2023, ch. 17). Taro Mieno is writing a book entitled R as GIS for Economists. Likewise, the growing use of satellite data in economics is surveyed in Donaldson and Storeygard (2016).