Roman roads; Archaeological Mobility; Settlement Patterns; Spatial Uncertainty; GIS
PhD (Probationary) in Archaeology (2020-2024)
University of Cambridge
MSc Geographical Information Science | Distinction - 78%
University of Leicester
Dissertation - 80% | The Suitability of Using Least Cost Path Analysis in the Prediction of Roman Roads in the Highland and Lowland Zones of Roman Britain
Introduction to GIS - 75%; Programming in R - 87%; Earth Observation and Remote Sensing - 84%; Spatial Information Science - 75%; Geographical Visualisation - 67%; GIS Research Methods in the Field - 73%
BSc (Hons) Applied Geology | Upper Second Class -
University of Plymouth
Interested in Computational Archaeology; Geographic Data Science; Spatial Modelling; Spatial Uncertainty; Bayesian Data Analysis
Proficient in R; Python; QGIS; ArcGIS; SQL
Open-Oxford-Cambridge AHRC DTP - Judy and Nigel Weiss Studentships at Robinson College Match-funded Studentship - Selected for full scholarship based upon academic merit alone.
Vice-Chancellor’s & King’s College Scholarship (now Honorary) - Selected for a full scholarship on the recommendation of the University’s selection committee for Cambridge International and King’s College Scholarships. Awarded to 250 highest ranked students, irrespective of nationality.
Royal Institution of Chartered Surveyors Prize 2017 - Best Dissertation
Lewis, J., 2020. Probabilistic Modelling using Monte Carlo Simulation for Incorporating Uncertainty in Least Cost Path Results: a Postdictive Roman Road Case Study. SocArXiv, mxas2, ver. 17 peer-reviewed and recommended by PCI Archaeology. https://doi.org/10.31235/osf.io/mxas2
Lewis, J., 2020. Visibility of the Gask Ridge road from simulated Watchtowers: A Monte Carlo testing approach. Journal of Archaeological Science: Reports 33, 102482. https://doi.org/10.1016/j.jasrep.2020.102482
Author and Creator of the R package leastcostpath |
Easy calculation of Least Cost Paths and Least Cost Path networks using multiple cost functions. Implementation of traversal across slope to more accurately model the difficulty of moving through a landscape, as well as allowing for the incorporation of landscape features.
Lewis, J., 2020. Probabilistic Modelling using Monte Carlo Simulation for Incorporating Uncertainty in Least Cost Path Results: a Roman Road Case Study. https://doi.org/10.31235/osf.io/mxas2
Lewis, J., 2020. Visibility of the Gask Ridge Road from Simulated Watchtowers: a Monte Carlo Testing Approach. https://doi.org/10.31235/osf.io/ebt9n
ArcheoFOSS 2020 - 15-17/10/2020, Online (originally Viterbo, Italy) |
Leastcostpath: Modelling Pathways and Movement Potential Within a Landscape Presentation
Computer Applications and Quantitative Methods in Archaeology (CAA) 2020 - 14-17/04/2020, Oxford (UK) |
Cancelled due to Covid-19 (https://caa-international.org/2020/06/11/caa-2020-cancelled/)
The Archaeologies of Roads - 07-08/11/2019, Florence (Italy) |
Seeing While Moving: Direction-Dependent Visibility of Bronze Age Monuments Along a Prehistoric Ridgeway in Cumbria, England
Geographical Information Science Research Group - 2018, Leicester (United Kingdom) |
The Suitability of Using Least Cost Path Analysis in the Prediction of Roman Roads in the Highland and Lowland Zones of Roman Britain
Reflections on Modelling Movement Potential using Least Cost Paths |
A reflection on the concepts of mobility and movement when applying Least Cost Path analysis to archaeological problems.