Skip to main content
Log in

Paradigm or Practice? Situating GIS in Contemporary Archaeological Method and Theory

  • Research
  • Published:
Journal of Archaeological Method and Theory Aims and scope Submit manuscript

Abstract

Geographic information systems (GIS) has been used in archaeology for four decades, and colloquially appears to have become a main tool in the geospatial aspects of archaeological practice. In this paper, we examine temporal trends in the use and/or mention of GIS in archaeological publications (books and journal articles), conference presentations, and websites. We gathered data through keyword searches and with formal sampling surveys and conducted both quantitative and qualitative analyses to characterize the changing nature and intensity of GIS use in archaeology over time, and then contextualize these trends with a narrative history of archaeological GIS. We show how archaeological GIS-use has grown from a few early adopters of the 1980s, through a slow initial integration phase in the 1990s, to a set of two major expansions in the 2000s and 2010s. While we find that applied use of GIS has grown to the point where it can be considered ubiquitous—if not completely universal—in the discipline, we also discovered that the major focus in archaeological GIS advancement is methodological rather than theoretical. We identify five roadblocks that we believe have hampered the development of a theory-rich archaeological GIS: (1) deficiencies in the archaeological GIS education model, (2) over-reliance on commercial software, (3) technical/technological barriers, (4) gaps in acceptance of GIS, and (5) the perception of GIS as “just a tool.” We offer initial suggestions for ways forward to mitigate the effects of these roadblocks and build a more robust, theoretically sophisticated relationship with GIS in archaeology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data Availability

All data and analysis scripts employed in this research are made publicly available via an Open Science Framework repository (Ullah, 2023) at the following persistent identifier: DOI https://doi.org/10.17605/OSF.IO/3W7N8, and URL: https://osf.io/3w7n8/. All materials are released under the CC-By Attribution 4.0 International license, which allows reuse and dissemination of the material with the only restriction that the original source be cited/attributed in all derivations or redistributions of the material.

References

  • Aitken, S. C., & Michel, S. M. (1995). Who contrives the “real” in GIS? Geographic information, planning and critical theory. Cartography and Geographic Information Systems, 22(1), 17–29.

    Article  Google Scholar 

  • Aldred, O., & Lucas, G. (2019). The map as assemblage: Landscape archaeology and mapwork. In M. Gillings, P. Hacıgüzeller, & G. Lock (Eds.), Re-mapping archaeology: Critical perspectives, alternative mappings (pp. 19–36). Routledge.

    Google Scholar 

  • Allen, K. M. S., Green, S. W., & Zubrow, E. B. W. (1990). Interpreting space: GIS and archaeology. Taylor & Francis.

    Google Scholar 

  • Anderson, R. J., & Roark, J. J. (1969). Information system for solid waste operations. New York City.

  • Anshari, M., & Alas, Y. (2015). Smartphones habits, necessities, and big data challenges. The Journal of High Technology Management Research, 26(2), 177–185. https://doi.org/10.1016/j.hitech.2015.09.005

    Article  Google Scholar 

  • Arnoldus-Huyzendveld, A., Citter, C., & Pizziolo, G. (2016). Predictivity-postdictivity: A theoretical framework. In S. Campana, R. Scopigno, & G. Carpentiero (Eds.), CAA2015, Keep the revolution going, Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, Oxford (pp. 593–598). Oxford: Archaeopress Publishing Ltd.

  • Ballas, D., Clarke, G., Franklin, R., & Newing, A. (2017). GIS and the social sciences: Theory and applications. Routledge. https://doi.org/10.4324/9781315759326

    Book  Google Scholar 

  • Ballsun-Stanton, B., Ross, S. A., Sobotkova, A., & Crook, P. (2018). FAIMS mobile: Flexible, open-source software for field research. SoftwareX, 7, 47–52. https://doi.org/10.1016/j.softx.2017.12.006

    Article  Google Scholar 

  • Banning, E. B., & Hitchings, P. (2015). Digital Archaeological Survey: Using iPads in Archaeological Survey in Wadi Quseiba, Northern Jordan. The SAA Archaeological Record, 15(4), 31–37.

    Google Scholar 

  • Bardolph, D. N. (2014). A critical evaluation of recent gendered publishing trends in American archaeology. American Antiquity, 79(3), 522–540.

    Article  Google Scholar 

  • Beale, G., & Beale, N. (2015). Community-driven approaches to open source archaeological imaging. In A. T. Wilson & B. Edwards (Eds.), Open Source Archaeology: Ethics and Practice (pp. 44–63). Warsaw/Berlin: De Gruyter Open Ltd.

  • Beck, J., Gjesfjeld, E., & Chrisomalis, S. (2021). Prestige or perish: Publishing decisions in academic archaeology. American Antiquity, 86(4), 669–695.

    Article  Google Scholar 

  • Benchekroun, S. (2022). Preserving the past for an uncertain future: Low-cost, open-source methods for 3-D digital documentation in applied cultural heritage preservation (Master of Arts). San Diego State University.

    Google Scholar 

  • Benchekroun, S., & Ullah, I. I. T. (2021). Preserving the past for an uncertain future | The 26th International Conference on 3D Web Technology. In F. Ganovelli, C. Mc Donald, F. Banterle, M. Potenziani, M. Callieri, & Y. Jung (Eds.), The 26th International Conference on 3D Web Technology (pp. 1–9). New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3485444.3507684

  • Bernardini, W., Barnash, A., Kumler, M., & Wong, M. (2013). Quantifying visual prominence in social landscapes. Journal of Archaeological Science, 40(11), 3946–3954. https://doi.org/10.1016/j.jas.2013.05.019

    Article  Google Scholar 

  • Bevan, A., & Lake, M. (Eds.). (2013). Computational approaches to archaeological spaces. Left Coast Press.

    Google Scholar 

  • Bibby, D., & Ducke, B. (2017). Free and open source software development in archaeology. Two interrelated case studies: gvSIG-CE and Survey2GIS. EAC Occasional Paper No. 12, 41.

  • Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python: Analyzing text with the natural language toolkit. O’Reilly Media Inc.

    Google Scholar 

  • Borg, I., & Groenen, P. J. F. (2005). Modern multidimensional scaling: Theory and applications. Springer Verlag. Accessed 28 June 2012

  • Brinkhof, T. (2021, September 14). Saving history: 3D laser scans preserve world heritage sites. Big Think. https://bigthink.com/culture-religion/3d-scanning-save-heritage-archaeology/. Accessed 15 February 2023

  • Brouwer Burg, M. (2017). It must be right, GIS told me so! Questioning the infallibility of GIS as a methodological tool. Journal of Archaeological Science, 84, 115–120. https://doi.org/10.1016/j.jas.2017.05.010

    Article  Google Scholar 

  • Brughmans, T., & Peeples, M. (2017). Trends in archaeological network research: A bibliometric analysis. Journal of Historical Network Research, 1, 1–24.

    Google Scholar 

  • Brughmans, T., & Peeples, M. A. (2023). Network Science in Archaeology. Cambridge University Press.

    Book  Google Scholar 

  • Campana, S., Scopigno, R., Carpentiero, G., & Cirillo, M. (Eds.). (2016). CAA2015. Keep the revolution going: Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology (Vol. 1). Oxford: Archaeopress Publishing Ltd.

  • Campbell-Kelly, M., & Garcia-Swartz, D. D. (2015). From mainframes to smartphones: A history of the international computer industry. Harvard University Press.

    Book  Google Scholar 

  • Carafa, P. (2013). Teaching and researching with the GIS: An archaeological story. Journal-Reading N, 1–2013, 73.

    Google Scholar 

  • Cavnar, W. B., & Trenkle, J. M. (1994). N-gram-based text categorization. In Proceedings of SDAIR-94, 3rd annual symposium on document analysis and information retrieval (Vol. 161175, p. 14).

  • Chase, A., Chase, D., & Chase, A. (2020). Ethics, new colonialism, and lidar data: A decade of lidar in Maya archaeology. Journal of Computer Applications in Archaeology, 3(1), 51–62.

    Article  Google Scholar 

  • Church, T., Brandon, R. J., & Burgett, G. R. (1999). GIS applications in archaeology: Method in search of theory. Practical applications of GIS for archaeologists. A predictive modelling toolkit, 135–155.

  • Coetzee, S., Ivánová, I., Mitasova, H., & Brovelli, M. A. (2020). Open geospatial software and data: A review of the current state and a perspective into the future. ISPRS International Journal of Geo-Information, 9(2), 90. https://doi.org/10.3390/ijgi9020090

    Article  Google Scholar 

  • Colton, D. (2015). Text classification using python. Chapman and Hall/CRC.

    Google Scholar 

  • Conolly, J., & Lake, M. (2006). Geographical information systems in archaeology. Cambridge University Press.

    Book  Google Scholar 

  • Crampton, J. (1995). The ethics of GIS. Cartography and Geographic Information Systems, 22(1), 84–89.

    Article  Google Scholar 

  • Davies, B., Romanowska, I., Harris, K., & Crabtree, S. A. (2019). Combining geographic information systems and agent-based models in archaeology: Part 2 of 3. Advances in Archaeological Practice, 7(2), 185–193. https://doi.org/10.1017/aap.2019.5

    Article  Google Scholar 

  • de Neufville, R. (1969). Systems analysis of New York City’s primary water distribution network. New York City.

  • De Soto, P. (2019). Network analysis to model and analyse Roman transport and mobility. In P. Verhagen, J. Joyce, & M. R. Groenhuijzen (Eds.), Finding the Limits of the Limes: Modelling Demography, Economy and Transport on the Edge of the Roman Empire (pp. 271–289). Springer International Publishing.

    Chapter  Google Scholar 

  • Dennis, L. M. (2021). Getting it right and getting it wrong in digital archaeological ethics. VIRTUAL HERITAGE, 105.

  • Dhonju, H., Xiao, W., Mills, J., & Sarhosis, V. (2018). Share our cultural heritage (SOCH): Worldwide 3D heritage reconstruction and visualization via web and mobile GIS. ISPRS International Journal of Geo-Information, 7(9), 360. https://doi.org/10.3390/ijgi7090360

    Article  Google Scholar 

  • Ducheneaut, N. (2005). Socialization in an open source software community: A socio-technical analysis. Computer Supported Cooperative Work (CSCW), 14, 323–368.

    Article  Google Scholar 

  • Ducke, B. (2013). Reproducible data analysis and the open source paradigm in archaeology. In A. Bevan & M. Lake (Eds.), Computational Approaches to Archaeological Spaces (pp. 307–318). Routledge.

    Google Scholar 

  • Ducke, B. (2012). Natives of a connected world: Free and open source software in archaeology. World Archaeology, 44(4), 571–579. 10/gd6bb9

  • Ducke, B. (2015). 7 Free and open source software in commercial and academic archaeology. Open Source Archaeology: Ethics and Practice. https://doi.org/10.1515/9783110440171-008/HTML

  • Dungan, K. A., White, D., Déderix, S., Mills, B. J., & Safi, K. (2018). A total viewshed approach to local visibility in the Chaco World. Antiquity, 92(364), 905–921. 10/gd83r2

  • Earley-Spadoni, T. (2017). Spatial history, deep mapping and digital storytelling: Archaeology’s future imagined through an engagement with the digital humanities. Journal of Archaeological Science, 84, 95–102. https://doi.org/10.1016/j.jas.2017.05.003

    Article  Google Scholar 

  • ESRI. (2004). ArcGIS 9: Providing a complete GIS platform. ESRI ArcNews, 26(2). https://www.esri.com/news/arcnews/spring04articles/arc9-special/arcgis9-providing.html. Accessed 23 January 2023

  • ESRI. (2010). ArcGIS is now online. ESRI ArcNews, 32(3). https://www.esri.com/news/arcnews/summer10articles/arcgis-now-online.html. Accessed 23 January 2023

  • Evans, T. L., & Daly, P. T. (2006). Digital archaeology: Bridging method and theory. Psychology Press. http://books.google.com/books?hl=en&lr=&id=Y-bL609miNAC&oi=fnd&pg=PR10&dq=digital+archaeology&ots=YRieBnOYRO&sig=QQTW1VwfZAZ4XzSzDJFFoFER6eo. Accessed 7 January 2015

  • Eve, S. (2012). Augmenting phenomenology: Using augmented reality to aid archaeological phenomenology in the landscape. Journal of Archaeological Method and Theory, 19(4), 582–600. https://doi.org/10.1007/s10816-012-9142-7

    Article  Google Scholar 

  • Fábrega-Álvarez, P., & Lynch, J. (2022). Archaeological survey supported by mobile GIS: Low-budget strategies at the Hualfín Valley (Catamarca, Argentina). Advances in Archaeological Practice, 10(2), 215–226. https://doi.org/10.1017/aap.2022.2

    Article  Google Scholar 

  • Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., et al. (2007). The shuttle radar topography mission. Reviews of geophysics, 45(2).

  • Fisher, C. T., & Feinman, G. M. (2005). Introduction to “landscapes over time.” American Anthropologist, 107(1), 62–69.

    Article  Google Scholar 

  • Fisher, M., Fradley, M., Flohr, P., Rouhani, B., & Simi, F. (2021). Ethical considerations for remote sensing and open data in relation to the endangered archaeology in the Middle East and North Africa project. Archaeological Prospection, 28(3), 279–292. https://doi.org/10.1002/arp.1816

    Article  Google Scholar 

  • Fogelin, L. (2019). An unauthorized companion to American archaeological theory. Electronic resource, https://arizona.academia.edu/LarsFogelin. Accessed 14 February 2023

  • Franklin, K. (2020). Moving subjects, situated memory: Thinking and seeing medieval travel on the Silk Road. International Journal of Historical Archaeology, 24(4), 852–876. https://doi.org/10.1007/s10761-019-00528-5

    Article  Google Scholar 

  • Fulkerson, T. J., & Tushingham, S. (2019). Who dominates the discourses of the past? Gender, occupational affiliation, and multivocality in North American archaeology publishing. American Antiquity, 84(3), 379–399.

    Article  Google Scholar 

  • Fürnkranz, J. (1998). A study using n-gram features for text categorization. Austrian Research Institute for Artifical Intelligence, 3(1998), 1–10.

    Google Scholar 

  • Gaffney, C. (2008). Detecting trends in the prediction of the buried past: A review of geophysical techniques in archaeology. Archaeometry, 50(2), 313–336.

    Article  Google Scholar 

  • Gillings, M. (1998). Embracing uncertainty and challenging dualism in the GIS-based study of a palaeo-flood plain. European Journal of Archaeology, 1(1), 117–144. https://doi.org/10.1179/eja.1998.1.1.117

    Article  Google Scholar 

  • Gillings, M. (2012). Landscape phenomenology, GIS and the role of affordance. Journal of Archaeological Method and Theory, 19(4), 601–611. https://doi.org/10.1007/s10816-012-9137-4

    Article  Google Scholar 

  • Gillings, M. (2017). Mapping liminality: Critical frameworks for the GIS-based modelling of visibility. Journal of Archaeological Science, 84, 121–128. https://doi.org/10.1016/j.jas.2017.05.004

    Article  Google Scholar 

  • Gillings, M. (2019). On maps and mapping. In M. Gillings, P. Hacıgüzeller, G. Lock, P. Hacigüzeller, & G. Lock (Eds.), Re-mapping archaeology: Critical perspectives, alternative mappings (pp. 1–16). Routledge.

    Google Scholar 

  • Gillings, M., & Wise, A. (1990). GIS guide to good practice. Oxbow Books.

    Google Scholar 

  • Gillings, M., Hacigüzeller, P., & Lock, G. (2019). Re-mapping archaeology: Critical perspectives, alternative mappings. Routledge.

    Google Scholar 

  • Gillings, M., Hacıgüzeller, P., & Lock, G. (Eds.). (2020). Archaeological spatial analysis: A methodological guide. Routledge.

    Google Scholar 

  • Gillings, M., Hacıgüzeller, P., & Lock, G. (2020). Archaeology and spatial analysis. Archaeological Spatial Analysis (pp. 1–16). Routledge.

    Chapter  Google Scholar 

  • Gillings, M. (2009). Visual affordance, landscape, and the megaliths of Alderney. Oxford Journal of Archaeology, 28(4), 335–356. 10/fts2t8

  • Golledge, R. G. (1999). Wayfinding behavior: Cognitive mapping and other spatial processes. JHU Press.

  • Goodchild, M. F. (1992). Geographical information science. International Journal of Geographical Information Systems, 6(1), 31–45. https://doi.org/10.1080/02693799208901893

    Article  Google Scholar 

  • Goodchild, M. F., Yuan, M., & Cova, T. J. (2007). Towards a general theory of geographic representation in GIS. International Journal of Geographical Information Science, 21(3), 239–260.

    Article  Google Scholar 

  • Goodchild, M. F. (2011). Formalizing place in geographic information systems. In L. M. Burton, S. A. Matthews, M. Leung, S. P. Kemp, & D. T. Takeuchi (Eds.), Communities, neighborhoods, and health: Expanding the boundaries of place (pp. 21–33). New York, NY: Springer. https://doi.org/10.1007/978-1-4419-7482-2_2

  • GRASS Development Team. (2023a). GRASS GIS history. GRASS GIS. https://grass.osgeo.org/. Accessed 23 January 2023

  • GRASS Development Team. (2023b). wxGUI graphical modeler - GRASS GIS manual. https://grass.osgeo.org/grass83/manuals/wxGUI.gmodeler.html. Accessed 17 November 2023

  • Graves McEwan, D. (2012). Qualitative landscape theories and archaeological predictive modelling—A journey through no man’s land? Journal of Archaeological Method and Theory, 19(4), 526–547. https://doi.org/10.1007/s10816-012-9143-6

    Article  Google Scholar 

  • Graves McEwan, D., & Millican, K. (2012). In search of the middle ground: Quantitative spatial techniques and experiential theory in archaeology. Journal of Archaeological Method and Theory, 19(4), 491–494. https://doi.org/10.1007/s10816-012-9155-2

    Article  Google Scholar 

  • Hacıgüzeller, P. (2012). GIS, critique, representation and beyond. Journal of Social Archaeology, 12(2), 245–263.

    Article  Google Scholar 

  • Hammer, E., FitzPatrick, M., & Ur, J. (2022). Succeeding CORONA: Declassified HEXAGON intelligence imagery for archaeological and historical research. Antiquity, 1–17.

  • Harris, T. M., & Lock, G. (1995). Toward an evaluation of GIS in European archaeology: The past, present and future of theory and applications. Archaeology and geographical information systems: a European perspective, 349–365.

  • Harris, T. H. (1986). Geographic information system design for archaeological site information retrieval. In S. Laflin (Ed.), Computer Applications in Archaeology 1986. Conference Proceedings. (pp. 148–161). Birmingham: Centre for Computing and Computer Science, University of Birmingham.

  • Hasenstab, R. J. (1983). The application of geographic information systems to the analysis of archaeological site distribution. In 48th Annual Society for American Archaeology Meeting. Pittsburgh.

  • Hazlewood, L. K. (1970). Semantic capabilities of thematic maps. Cartography, 7(2), 69–75. https://doi.org/10.1080/00690805.1970.10437680

    Article  Google Scholar 

  • Heath-Stout, L. E., & Jalbert, C. L. (2022). Funding in the “field:” An analysis of demographics and methods in national science foundation archaeology grants (1955–2020). Journal of Field Archaeology, 1–11.

  • Hill, J. B. (2006). Human ecology in the Wadi Al-Hasa: Land use and abandonment through the Holocene. University of Arizona Press.

    Google Scholar 

  • Horton, M. (2016). Meet LiDAR: The amazing laser technology that’s helping archaeologists discover lost cities. Scientific American. https://www.scientificamerican.com/article/meet-lidar-the-amazing-laser-technology-that-s-helping-archaeologists-discover-lost-cities/. Accessed 15 February 2023

  • Howey, M. C., & Brouwer Burg, M. (2016). Methodological tool or paradigm shifter? Assessing the status of GIS in archaeological research. Symposium, Orlando.

  • Howey, M. C., & Brouwer Burg, M. (Eds.). (2017a). Special issue: Archaeological GIS today: Persistent challenges, pushing old boundaries, and exploring new horizons. Journal of Archaeological Science, 84, 1–136.

  • Howey, M. C., & Brouwer Burg, M. (2017). Assessing the state of archaeological GIS research: Unbinding analyses of past landscapes. Journal of Archaeological Science, 84, 1–9. https://doi.org/10.1016/j.jas.2017.05.002

    Article  Google Scholar 

  • Howland, M. (2019). Digging into archaeological research through digital storytelling. ArcGIS Blog. https://www.esri.com/arcgis-blog/products/arcgis-storymaps/sharing-collaboration/digging-into-archaeological-research-through-digital-storytelling/. Accessed 9 February 2023

  • Hu, D. (2012). Advancing theory? Landscape archaeology and geographical information systems. Papers from the Institute of Archaeology, 21(0). https://doi.org/10.5334/pia.381

  • Huggett, J. (2020). Is big digital data different? Towards a new archaeological paradigm. Journal of Field Archaeology, 45(sup1), S8–S17.

    Article  Google Scholar 

  • Huggett, J. (2015). Digital haystacks: Open data and the transformation of archaeological knowledge. In A. T. Wilson & B. Edwards (Eds.), (pp. 6–29). De Gruyter Open. http://www.degruyter.com/view/product/460080. Accessed 2 February 2023

  • Huggett, J. (2017). The apparatus of digital archaeology. Internet archaeology, 44.

  • Huisman, O., Santiago, I. F., Kraak, M.-J., & Retsios, B. (2009). Developing a geovisual analytics environment for investigating archaeological events: Extending the space-time cube. Cartography and Geographic Information Science, 36(3), 225–237.

    Article  Google Scholar 

  • Hurt, A. (2022, January 31). Space archaeology takes aim at earth. Discover Magazine. https://www.discovermagazine.com/the-sciences/space-archaeology-takes-aim-at-earth. Accessed 15 February 2023

  • Jacobson, P. E. (1972). Applying measures of association to nominal-ordinal data. The Pacific Sociological Review, 15(1), 41–60. https://doi.org/10.2307/1388286

    Article  Google Scholar 

  • Johnson, K. M., Ives, T. H., Ouimet, W. B., & Sportman, S. P. (2021). High-resolution airborne light detection and ranging data, ethics and archaeology: Considerations from the northeastern United States. Archaeological Prospection, 28(3), 293–303. https://doi.org/10.1002/arp.1836

    Article  Google Scholar 

  • Johnstone, S. (2003). Past and prediction: Archaeology and ArcGIS in cultural resource management. In ESRI User Conference Proceeding. En.

  • Jones, I. W. N., & Levy, T. E. (2018). Cyber-archaeology and grand narratives: Where do we currently stand? In T. E. Levy & I. W. N. Jones (Eds.), Cyber-Archaeology and Grand Narratives: Digital Technology and Deep-Time Perspectives on Culture Change in the Middle East (pp. 1–17). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-65693-9_1

  • Kansa, E. C. (2010). Open context in context: Cyberinfrastructure and distributed approaches to publish and preserve archaeological data. The SAA Archaeological Record, 10(5), 12–16.

    Google Scholar 

  • Kansa, S. W., & Kansa, E. C. (2007). Open content in open context. Educational Technology, 26–31.

  • Kansa, E. C., & Kansa, S. W. (2010). Publishing data in open context: Methods and perspectives. Center for the Study of Architecture Newsletter, 23(2).

  • Kellogg, D. C. (1987). Statistical relevance and site locational data. American Antiquity, 52(1), 143–150. https://doi.org/10.2307/281065

    Article  Google Scholar 

  • Kelly, R. (2020). Why you should retire. The SAA Archaeological Record, 20(4), 10–11.

    Google Scholar 

  • Kempf, M. (2020). From landscape affordances to landscape connectivity: Contextualizing an archaeology of human ecology. Archaeological and Anthropological Sciences, 12(8), 174. https://doi.org/10.1007/s12520-020-01157-4

    Article  Google Scholar 

  • Kholoshyn, I., Nazarenko, T., Bondarenko, O., Hanchuk, O., & Varfolomyeyeva, I. (2021). The application of geographic information systems in schools around the world: A retrospective analysis. In Journal of physics: Conference series (Vol. 1840, p. 012017). IOP Publishing.

  • Killick, D., & Goldberg, P. (2009). A quiet crisis in American archaeology. The SAA Archaeological Record, 9(1), 6–10.

    Google Scholar 

  • Kvamme, K. L. (1983). Computer processing techniques for regional modeling of archaeological site locations. Advances in Computer Archaeology, 1(1), 26–52.

    Google Scholar 

  • Kvamme, K. L. (1986). The use of geographic information systems for modeling archaeological site distributions. Geographic Information Systems in Government, 1, 345–362.

    Google Scholar 

  • Kvamme, K. L. (1989). Geographic information systems in regional archaeological research and data management. Archaeological Method and Theory, 1, 139–203.

    Google Scholar 

  • Kvamme, K. L. (1990). One-sample tests in regional archaeological analysis: New possibilities through computer technology. American Antiquity, 55(2), 367–381. https://doi.org/10.2307/281655

    Article  Google Scholar 

  • Kvamme, K. L. (1990). Spatial autocorrelation and the classic maya collapse revisited: Refined techniques and new conclusions. Journal of Archaeological Science, 17(2), 197–207. https://doi.org/10.1016/0305-4403(90)90059-E

    Article  Google Scholar 

  • Kvamme, K. L. (2018). Getting around the Black Box: Teaching (geophysical) data processing through GIS. Journal of Computer Applications in Archaeology, 1(1), 74–87. https://doi.org/10.5334/jcaa.14

    Article  Google Scholar 

  • Kvamme, K. L., & Hasenstab, R. J. (1985). Computer-based geographic information systems: A tool of the future for solving problems in the past. Oral Paper Session, Denver.

  • Kvamme, K. L. (1985). The fundamentals and potential of geographic information systems techniques for archaeological spatial research. Denver.

  • Lafferty, R. (1985). Anthropological theory and GIS analysis. Denver.

  • Lake, M. (2012). Open archaeology. World Archaeology, 44(4), 471–478. 10/gd597g

  • Landa, M. (2007). GUI development for GRASS GIS. Geoinformatics FCE CTU, 2, 43–52. https://doi.org/10.14311/gi.2.6

  • Landeschi, G. (2019). Rethinking GIS, three-dimensionality and space perception in archaeology. World Archaeology, 51(1), 17–32. https://doi.org/10.1080/00438243.2018.1463171

    Article  Google Scholar 

  • Lasaponara, R., & Masini, N. (2013). Remote sensing in archaeology: An overview. Journal of Aeronautics and Space Technologies, 6(1), 7–17.

    Google Scholar 

  • Lerner, J., & Tirole, J. (2005). The scope of open source licensing. Journal of Law, Economics, and Organization, 21(1), 20–56.

    Article  Google Scholar 

  • Lipe, W. D. (2009). Archaeological values and resource management. In L. Sebastian & W. D. Lipe (Eds.), Archaeology and cultural resource management: Visions for the future (pp. 41–63). School for Advanced Research Press.

    Google Scholar 

  • Llobera, M. (1996). Exploring the topography of mind: GIS, social space and archaeology. Antiquity, 70(269), 612–622.

    Article  Google Scholar 

  • Llobera, M. (2011). Archaeological visualization: Towards an archaeological information science (AISc). Journal of Archaeological Method and Theory, 18, 193–223.

    Article  Google Scholar 

  • Llobera, M., Fábrega-Álvarez, P., & Parcero-Oubiña, C. (2011). Order in movement: A GIS approach to accessibility. Journal of Archaeological Science, 38(4), 843–851. https://doi.org/10.1016/j.jas.2010.11.006

    Article  Google Scholar 

  • Llobera, Marcos. (2001). Building past landscape perception with GIS: Understanding topographic prominence. Journal of Archaeological Science, 28(9), 1005–1014. 10/fsjt4p

  • Llobera, Marcos. (2003). Extending GIS-based visual analysis: the concept of visualscapes. International Journal of Geographical Information Science, 17(1), 25–48. 10/dsnqb6

  • Llobera, Marcos. (2012). Life on a Pixel: Challenges in the development of digital methods within an “interpretive” landscape archaeology framework. Journal of Archaeological Method and Theory. 10/gd6c5h

  • Lobur, M., Romanyuk, A., & Romanyshyn, M. (2011). Using NLTK for educational and scientific purposes. In 2011 11th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM) (pp. 426–428).

  • Lock, G., & Stancic, G. (Eds.). (1995). Archaeology and geographic information systems: A European perspective. Taylor and Francis.

    Google Scholar 

  • Lock, G., & Pouncett, J. (2017). Spatial thinking in archaeology: Is GIS the answer? Journal of Archaeological Science, 84, 129–135. https://doi.org/10.1016/j.jas.2017.06.002

    Article  Google Scholar 

  • Lock, G., Kormann, M., & Pouncett, J. (2014). Visibility and movement: Towards a GIS-based integrated approach. Computational Approaches to the Study of Movement in Archaeology: Theory, Practice and Interpretation of Factors and Effects of Long Term Landscape Formation and Transformation, 23, 23.

    Google Scholar 

  • Lock, G., & Harris, T. (1997). Analysing change through time within a cultural landscape: Conceptual and functional limitations of a GIS approach. In Urban Origins in Eastern Africa. World Archaeological Congress, One World series.

  • Luo, L., Wang, X., Guo, H., Lasaponara, R., Shi, P., Bachagha, N., et al. (2018). Google Earth as a powerful tool for archaeological and cultural heritage applications: A review. Remote Sensing, 10(10), 1558. https://doi.org/10.3390/rs10101558

    Article  Google Scholar 

  • Maguire, D. J. (2000). Esri’s new ArcGIS product family. ESRI ArcNews, 22(Summer). https://www.esri.com/news/arcnews/summer00articles/esrisnew.html. Accessed 23 January 2023

  • Maldonado, A. (2016). The serialized past: Archaeology news online. Advances in Archaeological Practice, 4(4), 556–561.

    Article  Google Scholar 

  • Mallios, S. (2023). Personal communication, email: “History/timeline of GIS incorporation at SCIC?”

  • Martin, M. (2021). Computer and internet use in the United States: 2018 (No. ACS-49) (p. 14). Washington, DC: United States Census Bureau.

  • Martínez-Torres, M. R., & Díaz-Fernández, M. C. (2014). Current issues and research trends on open-source software communities. Technology Analysis and Strategic Management, 26(1), 55–68.

    Article  Google Scholar 

  • Marwick, B., Guedes, J. D., Barton, C. M., Bates, L. A., Baxter, M., Beavan, A., et al. (2017). Open science in archaeology. SAA Archaeological Record, 17(4), 8–14.

    Google Scholar 

  • Maschner, H. D. (1996). Geographic information systems in archaeology. New Methods, Old Problems: Geographic Information Systems in Modern Archaeological Research, 1–21.

  • Mather, I. R., & Watts, G. P., Jr. (1998). Geographic information systems for submerged cultural resource management and site specific investigation (pp. 3–13). The Society for Historical Archaeology, Tuscon.

    Google Scholar 

  • Mathews, A. J., & Wikle, T. A. (2017). Assessing professional benefits of GIS certification. Cartography and Geographic Information Science, 44(5), 452–462.

    Article  Google Scholar 

  • Matt, I. L. (2010). Working together: Grants, GIS and education: Everything I need to make my way. The SAA Archaeological Record, 10(3), 26–27.

    Google Scholar 

  • McCoy, M. D. (2017). Geospatial big data and archaeology: Prospects and problems too great to ignore. Journal of Archaeological Science, 84, 74–94. https://doi.org/10.1016/j.jas.2017.06.003

    Article  Google Scholar 

  • McCoy, M. D. (2021). Defining the geospatial revolution in archaeology. Journal of Archaeological Science: Reports, 37, 102988. https://doi.org/10.1016/j.jasrep.2021.102988

    Article  Google Scholar 

  • McGreevy, N. (2020). Study rewrites history of ancient land bridge between Britain and Europe. Smithsonian Magazine. https://www.smithsonianmag.com/smart-news/tiny-islands-survived-tsunami-almost-separated-britain-europe-study-finds-180976430/. Accessed 15 February 2023

  • McKinney, W. (2010). Data structures for statistical computing in Python. In S. van der Walt & J. Millman (Eds.), Proceedings of the 9th Python in Science Conference (pp. 56–61). SciPy. https://doi.org/10.25080/Majora-92bf1922-00a

  • McManamon, F. P., Kintigh, K. W., Ellison, L. A., & Brin, A. (2017). tDAR: A cultural heritage archive for twenty-first-century public outreach, research, and resource management. Advances in Archaeological Practice, 5(3), 238–249.

    Article  Google Scholar 

  • Mehrer, M. W. (2002). A GIS-based archaeological decision-support model for cultural resource management. Archeologia e Calcolatori, 13, 125–133.

    Google Scholar 

  • Mehrer, M. W., & Wescott, K. L. (2005). GIS and archaeological site location modeling. CRC Press.

    Book  Google Scholar 

  • Menéndez-Marsh, F., Al-Rawi, M., Fonte, J., Dias, R., Gonçalves, L. J., Seco, L. G., et al. (2023). Geographic information systems in archaeology: A systematic review, 6(1), 40–50. https://doi.org/10.5334/jcaa.104

  • Menze, B. H., Ur, J. A., & Sherratt, A. G. (2006). Detection of ancient settlement mounds: Archaeological survey based on the SRTM terrain model. Photogrammetric Engineering and Remote Sensing, 72(3), 321–327.

    Article  Google Scholar 

  • Merschdorf, H., & Blaschke, T. (2018). Revisiting the role of place in geographic information science. ISPRS International Journal of Geo-Information, 7(9), 364. https://doi.org/10.3390/ijgi7090364

    Article  Google Scholar 

  • Miller, H. (2007). Place-based versus people-based geographic information science. Geography Compass, 1(3), 503–535. https://doi.org/10.1111/j.1749-8198.2007.00025.x

    Article  Google Scholar 

  • Millican, K. (2012). The outside inside: Combining aerial photographs, cropmarks and landscape experience. Journal of Archaeological Method and Theory, 19(4), 548–563. https://doi.org/10.1007/s10816-012-9140-9

    Article  Google Scholar 

  • Misiewicz, K., Malkowski, W., Bogacki, M., Zawadzka-Pawlewska, U., & Chyla, J. M. (2016). How to teach GIS to archaeologists. In S. Campana, R. Scopigno, G. Carpentiero, & M. Cirillo (Eds.), CAA2015. Keep the revolution going: Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology (pp. 21–26). Oxford: Archaeopress Publishing Ltd.

  • Morgan, L., & Finnegan, P. (2007). How perceptions of open source software influence adoption: An exploratory study. In ECIS 2007 Proceedings. (Vol. 118, pp. 973–984). Association for Information Systems Electronic Library (AISeL).

  • Myers, A. (2010). Camp Delta, Google Earth and the ethics of remote sensing in archaeology. World Archaeology, 42(3), 455–467. https://doi.org/10.1080/00438243.2010.498640

    Article  Google Scholar 

  • Nikolova, L. (2015). What was published is as important as how it was published. In A. T. Wilson & B. Edwards (Eds.), Archaeological Experiences with Free and Open Source Geographic (pp. 93–91). Warsaw/Berlin: De Gruyter Open Ltd. https://doi.org/10.1515/9783110440171-010

  • Nowak, M. M., Dziób, K., Ludwisiak, Ł, & Chmiel, J. (2020). Mobile GIS applications for environmental field surveys: A state of the art. Global Ecology and Conservation, 23, e01089. https://doi.org/10.1016/j.gecco.2020.e01089

    Article  Google Scholar 

  • Olson, K. G., & Rouse, L. M. (2018). A beginner’s guide to mesoscale survey with quadrotor-UAV systems. Advances in Archaeological Practice, 6(4), 357–371. https://doi.org/10.1017/aap.2018.26

    Article  Google Scholar 

  • Orengo, H. A. (2015). Open source GIS and geospatial software in archaeology: Towards their integration into everyday archaeological practice. In A. T. Wilson & B. Edwards (Eds.), Open source archaeology: ethics and practice (pp. 64–82). Warsaw/Berlin: De Gruyter Open Ltd. https://eprints.whiterose.ac.uk/94434/. Accessed 2 February 2023

  • Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

    Article  Google Scholar 

  • Pavlovskaya, M. (2016). Digital place-making: Insights from critical cartography and GIS. The Digital Arts and Humanities: Neogeography, Social Media and Big Data Integrations and Applications, 153–167.

  • Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., et al. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830.

    Google Scholar 

  • Pickles, J. (1999). Arguments, debates, and dialogues: The GIS-social theory debate and the concern for alternatives. Geographical Information Systems, 1, 49–60.

    Google Scholar 

  • Pillatt, T. (2012). Experiencing climate: Finding weather in eighteenth century Cumbria. Journal of Archaeological Method and Theory, 19(4), 564–581. https://doi.org/10.1007/s10816-012-9141-8

    Article  Google Scholar 

  • Plotly Technologies Inc. (2015). Collaborative data science. Montreal, QC: Plotly Technologies Inc. https://plot.ly

  • Pourghasemi, H. R., & Gokceoglu, C. (2019). Spatial modeling in GIS and R for earth and environmental sciences. Elsevier.

    Google Scholar 

  • Powell, A. (2012). Democratizing production through open source knowledge: From open software to open hardware. Media, Culture and Society, 34(6), 691–708. https://doi.org/10.1177/0163443712449497

    Article  Google Scholar 

  • Rennell, R. (2012). Landscape, experience and GIS: Exploring the potential for methodological dialogue. Journal of Archaeological Method and Theory, 19(4), 510–525. https://doi.org/10.1007/s10816-012-9144-5

    Article  Google Scholar 

  • Richards-Rissetto, H. (2017). What can GIS + 3D mean for landscape archaeology? Journal of Archaeological Science, 84, 10–21. https://doi.org/10.1016/j.jas.2017.05.005

    Article  Google Scholar 

  • Rosa-Aquino, P. (2023). Lasers revealed 5 ancient civilizations that were hiding in plain sight. Business Insider. https://www.businessinsider.com/ancient-civilizations-that-were-hiding-in-plain-sight-2023-1. Accessed 15 February 2023

  • SAA. (2023). Post-secondary archaeology resources. Society for American Archaeology. https://www.saa.org/education-outreach/teaching-archaeology/post-secondary-resources. Accessed 9 February 2023

  • Sarris, A., Trigkas, V., Papadakis, G., & Papazoglou, M. (2008). A web-GIS approach to cultural resources management in Crete: The digital archaeological atlas of Crete. In A. Posluschny, K. Lambers, & I. Herzog (Eds.), Layers of Perception. Proceedings of the 35th International Conference on Computer Applications and Quantitative Methods in Archaeology (CAA). Berlin: CAA international.

  • Savas, E., Amsterdam, R., & Brodheim, E. (1969). Creation of a geographic information system. New York City.

  • Sheehan, B. (2015). Comparing digital archaeological repositories: TDAR versus Open Context. Behavioral and Social Sciences Librarian, 34(4), 173–213.

    Article  Google Scholar 

  • Sheppard, E. (1995). GIS and society: Towards a research agenda. Cartography and Geographic Information Systems, 22(1), 5–16.

    Article  Google Scholar 

  • Sinton, D. S. (2017). The GIS&T BoK: Where is it now, and where will YOU take it tomorrow? Directions Magazine. https://www.directionsmag.com/article/1066. Accessed 23 January 2023

  • Smith, C. (2020). Ethics and best practices for mapping archaeological sites. Advances in Archaeological Practice, 8(2), 162–173. https://doi.org/10.1017/aap.2020.9

    Article  Google Scholar 

  • Stanish, C. S., & Levy, T. (2013). Cyber-archaeology and world cultural heritage: Insights from the holy land. Bulletin of the American Academy of Arts and Sciences, 27, 73–74.

    Google Scholar 

  • Steiniger, S., & Hunter, A. J. S. (2013). The 2012 free and open source GIS software map – A guide to facilitate research, development, and adoption. Computers, Environment and Urban Systems, 39, 136–150. https://doi.org/10.1016/j.compenvurbsys.2012.10.003

    Article  Google Scholar 

  • Supernant, K. (2017). Modeling Métis mobility? Evaluating least cost paths and indigenous landscapes in the Canadian west. Journal of Archaeological Science, 84, 63–73. https://doi.org/10.1016/j.jas.2017.05.006

    Article  Google Scholar 

  • ten Bruggencate, R. E., Stup, J. P., Milne, S. B., Stenton, D. R., Park, R. W., & Fayek, M. (2016). A human-centered GIS approach to modeling mobility on southern Baffin Island, Nunavut, Canada. Journal of Field Archaeology, 41(6), 684–698.

    Article  Google Scholar 

  • Tomlinson, R. F. (1968). A geographic information system for regional planning. In Land Evaluation (Papers of a CSIRO Symposium, organized in Cooperation with UNESCO, 26–31 08 1968) (pp. 200–210). Melbourne: Macmillan. DOI: https://doi.org/10.1017/S0016756800058969

  • Tripcevich, N. (2004). Flexibility by design: How mobile GIS meets the needs of archaeological survey. Cartography and Geographic Information Science, 31(3), 137–151. https://doi.org/10.1559/1523040042246025

    Article  Google Scholar 

  • Ullah, I. I. T., & Bergin, S. M. (2012). Modeling the Consequences of Village Site Location: Least Cost Path Modeling in a Coupled GIS and Agent-Based Model of Village Agropastoralism in Eastern Spain. In D. A. White & S. L. Surface-Evans (Eds.), Least Cost Analysis of Social Landscapes: Archaeological Case Studies (1st ed., pp. 155–173). University of Utah Press.

    Google Scholar 

  • Ullah, I. I. T., Chang, C., & Tourtellotte, P. (2019). Water, dust, and agro-pastoralism: Modeling socio-ecological co-evolution of landscapes, farming, and human society in southeast Kazakhstan during the mid to late Holocene. Journal of Anthropological Archaeology, 55, 101067. 10/ggchft

  • Ullah, I. I. T. (2011). A GIS method for assessing the zone of human-environmental impact around archaeological sites: A test case from the Late Neolithic of Wadi Ziqlâb, Jordan. Journal of Archaeological Science, 38(3), 623–632. 10/bk7w3r

  • Ullah, I. I. T. (2015). Integrating older survey data into modern research paradigms identifying and correcting spatial error in “legacy” datasets. Advances in Archaeological Practice, 3(4), 331–350. 10/gd6bb6

  • Ullah, I. I. T. (2018). Going paperless in Calabria: An open-source digital data collection workflow. Paper, New Orleans. https://isaacullah.github.io/Going-Paperless-in-Calabria/

  • Ullah, I. I. T. (2022). GIS-Projects. https://github.com/isaacullah/GIS-Projects. Accessed 9 February 2023

  • Ullah, I. I. T. (2023). 2022 Archaeological GIS survey. 10.17605/OSF.IO/3W7N8

  • Ulm, S., Nichols, S., & Dalley, C. (2005). Mapping the shape of contemporary Australian archaeology: Implications for archaeology teaching and learning. Australian Archaeology, 61(1), 11–23.

    Article  Google Scholar 

  • Verhagen, P., & Whitley, T. G. (2012). Integrating archaeological theory and predictive modeling: A live report from the scene. Journal of Archaeological Method and Theory, 19(1), 49–100. 10/ff9mqt

  • Verhagen, P., Nuninger, L., Bertoncello, F., Barba, A. C., Campana, S., Scopigno, R., et al. (2016). Estimating the “memory of landscape” to predict changes in archaeological settlement patterns. In CAA2015. Keep The Revolution Going: Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology (Vol. 1, pp. 623–636). Oxford: Archaeopress Publishing Ltd.

  • Visser, R., van Zijverden, W., & Alders, P. (2016). Teaching digital archaeology digitally. CAA, 2015, 11.

    Google Scholar 

  • Warf, B., & Sui, D. (2010). From GIS to neogeography: Ontological implications and theories of truth. Annals of GIS, 16(4), 197–209.

    Article  Google Scholar 

  • Waskom, M. L. (2021). Seaborn: Statistical data visualization. Journal of Open Source Software, 6(60), 3021. https://doi.org/10.21105/joss.03021

    Article  Google Scholar 

  • Waters, N. M. (2013). The geographic information science body of knowledge 2.0: Toward a new federation of GIS knowledge. In O. Arnold, W. Spickermann, N. Spyratos, & Y. Tanaka (Eds.), Webble Technology (pp. 129–142). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-38836-1_11

  • Waters, N. M. (2018). GIS: History. In International Encyclopedia of Geography (pp. 1–13). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118786352.wbieg0841.pub2

  • Wernke, S. A., Kohut, L. E., & Traslaviña, A. (2017). A GIS of affordances: Movement and visibility at a planned colonial town in highland Peru. Journal of Archaeological Science, 84, 22–39. https://doi.org/10.1016/j.jas.2017.06.004

    Article  Google Scholar 

  • Wescott, K. L., & Brandon, R. J. (1999). Practical applications of GIS for archaeologists: A predictive modelling toolkit. CRC Press.

  • Wheatley, D. (1993). Going over old ground: GIS, archaeological theory and the act of perception. Computing the past: Computer Applications and Quantitative Methods in Archaeology, 1992, 133–138.

    Google Scholar 

  • Wheatley, D., & Gillings, M. (2002). Spatial technology and archaeology: The archaeological applications of GIS. CRC Press. https://doi.org/10.1201/b12806

    Book  Google Scholar 

  • Wheatley, D., & Gillings, M. (2000). Visual perception and GIS: Developing enriched approaches to the study of archaeological visibility.

  • Wheatley, D., & Gillings, M. (2013). Spatial technology and archaeology: the archaeological applications of GIS. CRC Press. https://books.google.com/books?hl=en&lr=&id=Z0FZDwAAQBAJ&oi=fnd&pg=PP1&dq=wheatley+and+gillings+2013&ots=Y7aNQ-VE5X&sig=ny_I6zKj_BrrATKZfviy1aKIZpQ. Accessed 17 November 2023

  • Wheatley, D. (2004). Making space for an archaeology of place. Internet archaeology, 15.

  • White, D. A. (2015). The basics of least cost analysis for archaeological applications. Advances in Archaeological Practice, 3(4), 407–414. https://doi.org/10.7183/2326-3768.3.4.407

    Article  Google Scholar 

  • White, D. A., & Surface-Evans, S. L. (Eds.). (2012). Least cost analysis of social landscapes: Archaeological case studies (1st Edition.). University of Utah Press.

  • Whitley, T. G. (2017). Geospatial analysis as experimental archaeology. Journal of Archaeological Science, 84, 103–114. https://doi.org/10.1016/j.jas.2017.05.008

    Article  Google Scholar 

  • Wikle, T. A. (2015). A look at GIS certification programs and their challenges for higher education. Urisa Journal, 27(1), 5–10.

    Google Scholar 

  • Wilson, A. T., & Edwards, B. (Eds.). (2015). Open source archaeology: Ethics and practice. De Gruyter Open Ltd.

    Google Scholar 

  • Zychlinski, S. (2023). Dython. Python. https://github.com/shakedzy/dython. Accessed 17 October 2023

Download references

Acknowledgements

The idea and impetus for this paper originated during a seminar discussion in the Spring of 2022 in Ullah’s archaeological GIS method and theory class, titled “Computational Archaeology,” in which Clow and Meling were students. We thank the other students (present and past) in this class for fruitful initial discussion of many of the issues that we raised in this paper. We also thank and acknowledge the San Diego State University College of Arts and Letters, who awarded this project a microgrant in Spring 2022 to facilitate some of the data collection for this project.

Funding

Partial financial support for this work was received from the San Diego State University College of Arts and Letters migrogrants program. Author Ullah has contributed source code to the GRASS GIS project, but received no financial compensation for this role, and this did not influence the contents of this paper.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception, design, and methodology. ZC, JM, and IU performed data collection. Data analysis and figure preparation was performed by IU, and IU, ZC, and JM interpreted the results. The first draft of the manuscript was written by IU, and all authors commented and contributed portions of text on all subsequent versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Isaac I. Ullah.

Ethics declarations

Competing Interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 311 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ullah, I.I., Clow, Z. & Meling, J. Paradigm or Practice? Situating GIS in Contemporary Archaeological Method and Theory. J Archaeol Method Theory (2023). https://doi.org/10.1007/s10816-023-09638-1

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10816-023-09638-1

Keywords

Navigation