Archaeologists were enthusiastic adopters of GIS starting as early as the 1980s, when tools were still relatively difficult to use. Not surprisingly, a discipline where space is critical to understanding ancient settlements and human use of ancient space, GIS has become popular in the field. Perhaps this interest is the greatest in landscape archaeology, a sub-discipline concerned with understanding past landscapes and landforms in shaping and being shaped by human actions.
GIS Software Use in Landscape Archaeology
Proprietary GIS software such as ArcGIS has primarily been used by many field projects as their project database to manage archaeological sites, areas being investigated, and keeping track of nearby archaeological features such as ancient roads, canals, and other features. Archaeological surveys, where field walking is an important aspect, utilizes both GPS, including differential GPS (DGPS) and satellite data, or increasingly drone data, to provide an overview of the landscape.
Spatial modeling and spatial statistics are used in tools such as ArcGIS, QGIS, and the R statistical package to accomplish analyses such as point pattern analysis, spatial autocorrelation of key features, and even predictive modeling, which attempts to forecast the location of archaeological sites based on known patterns in data. In fact, the use of R has increased as a form of spatial analysis for understanding landscapes in general. One popular form of analysis has proven to be viewshed analysis, where the positioning of archaeological sites and features are assessed relative to the landscape, demonstrating where strategic points (e.g., possible location of fortresses) would have been for given periods.
Understanding erosion processes utilizing hydrologic modeling is another analysis also applied to understand how taphonomy (the study of decaying organisms over time and how they may become fossilized) has affect past landscapes. What these examples show is that GIS will continue to be a mainstay of archaeology, given its wide range of applicability from acting as project databases to analytical platform.
 For more information on these methods, see: Conolly, James, and Mark Lake. 2006. Geographical Information Systems in Archaeology. Cambridge Manuals in Archaeology. Cambridge, UK ; New York: Cambridge University Press.
 For more information on using R for spatial analysis, see: Zabihi, Mohsen, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi, and Morteza Behzadfar. 2016. “GIS-Based Multivariate Adaptive Regression Spline and Random Forest Models for Groundwater Potential Mapping in Iran.” Environmental Earth Sciences 75 (8). doi:10.1007/s12665-016-5424-9.
 For more information on viewshed analysis in landscape archaeology, see: Wheatley, David, and Mark Gillings. 2002. Spatial Technology and Archaeology: The Archaeological Applications of GIS. New York: Taylor & Francis, pg. 186.