Joseph Lewis
Doctoral Student in Archaeology |
Interested in the Application of GIS to Archaeological Mobility and Settlement Patterns with a focus on spatial uncertainty
Curriculum Vitae | CV
Email | josephlewis1992@gmail.com
Linkedin | https://uk.linkedin.com/in/josephlewis1992
Github | https://github.com/josephlewis
PhD (Probationary) in Archaeology (2020-2023)
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 Geographic Data Science; Quantitative Archaeology; Spatial Modelling; Spatial Uncertainty
Proficient in R; Python; QGIS; ArcGIS; SQL
Awards
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.
CASA Prize for best paper on Spatial Analysis - GISRUK 2018 | Paper ; Presentation
2nd Prize GISCRG Dissertation Prize 2017
Royal Institution of Chartered Surveyors Prize 2017 - Best Dissertation
Published Papers
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
Software
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.
Pre-prints
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
Presentations
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
Discussions
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.