Geospatial Analysis in Archaeological Landscapes

Geospatial analysis has become indispensable for archaeologists seeking to understand the organisation, connectivity and evolution of past human societies across diverse terrains. By integrating geographic information systems (GIS), remote sensing and spatial statistics, researchers can detect archaeological features hidden beneath vegetation, reconstruct ancient movement corridors and quantify patterns of site location and land use. Techniques such as least-cost path modelling reveal probable travel routes by estimating energy expenditure across slopes, while visibility analyses uncover the visual relationships between settlements, monuments and resource zones. Point pattern and cluster analyses enable the identification of spatial regularities in artefact scatters or funerary monuments, offering insights into social structuring and ritual landscapes. Together, these methods provide a multi-scalar framework—from landscape-wide overviews to fine-grained site perspectives—that elucidates how environmental constraints, cultural preferences and technological innovations shaped past human behaviour on a global scale.

Research from Nature Portfolio

Recent studies have highlighted a fundamental divergence between global explanatory models and the regional complexity of archaeological data. Researchers have demonstrated that broad environmental variables often fail to capture local socio-cultural dynamics, leading to oversimplified reconstructions of human–environment interactions. To address this, a new “glocalization coefficient” has been proposed, enabling the adjustment of global models to account for regional connectivity, ecological functions and human decision-making spheres. This approach facilitates more nuanced comparisons across different geographic contexts and underscores the necessity of balancing universal frameworks with site-specific data to enhance the explanatory power of spatial analyses in archaeology.

Geospatial Analysis in Archaeological Landscapes publication trend

The graph below shows the total number of articles in geospatial analysis in archaeological landscapes across all publications each year (not limited to Nature Index journals).

Technical terms

Digital Elevation Model (DEM): Grid-based representation of terrain elevations used to derive slope, aspect and surface roughness for spatial modelling.

Least-cost Path Analysis: GIS method that calculates the most energy-efficient routes between points by assigning movement costs based on landscape attributes.

Viewshed: Spatial analysis identifying all areas visible from a given location, employed to assess intervisibility among archaeological sites and features.

Point Pattern Analysis: Statistical examination of the spatial distribution of discrete features to detect clustering, regularity or randomness within a study area.

Monte Carlo Simulation: Probabilistic technique generating multiple random realisations of input data to quantify uncertainty and variability in model outputs.

References

1. Modelling of recreational trails in mountainous areas: An analysis of sensitivity to slope data resolution. Applied Geography (2023).
2. A ‘Divergence Problem’ of global explanatory models in-between science and humanities. Humanities and Social Sciences Communications (2023).
3. Probabilistic Modelling for Incorporating Uncertainty in Least Cost Path Results: a Postdictive Roman Road Case Study. Journal of Archaeological Method and Theory (2021).
4. Creating the funerary landscape of Eastern Sudan. PLOS ONE (2021).