Spatial Analysis, Landscape Modelling, and Mobility Simulation in Mountain Environments

Clicks: 3
ID: 325390
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #1,058 of 1,518 articles by views in Oxford University Press eBooks

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,518 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Computer modelling is routinely used in archaeology to investigate the relationship between human communities and the environment. The last two decades have seen a rapid increase in the use of these methods to address some of the most relevant questions of mountain archaeology. Spatial analysis of settlement patterns has shed new light on locational strategies of the past and on the influence of research biases in the present. Predictive models have been developed from these data (often integrating ethnographic analogues) to support archaeological surveys in remote areas. Socio-ecological modelling frameworks have been used to assess the impact of agropastoral activities on vulnerable mountain environments. And the simulation of least-cost paths and mobility networks has contributed to understanding accessibility and connectivity across and within mountain regions. This chapter will explore the latest developments of computer modelling applied to archaeological landscapes in montane areas.
Reference Key
openalex_W7203828069 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Francesco Carrer, Isaac Ullah
Journal Oxford University Press eBooks
Year 2026
DOI
10.1093/oxfordhb/9780197608005.013.21
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.