Curriculum Vitae | CV
Email | josephlewis1992@gmail.com
Linkedin | https://uk.linkedin.com/in/josephlewis1992
Github | https://github.com/josephlewis


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

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.


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

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


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


Geospatial Data Science Projects


The Flow of Wealth by England’s Immigrants 1330 - 1550 |

This project explored the ~64,000 people known to have migrated to England between 1330-1550. Particular focus on the flow of wealth from countries to British counties. Results visualised using leaflet.


Do Scottish Battlefields occur further from Roman roads through time? |

Project to investigate whether distance from scottish battlefields to Roman roads increased as new road constructions began to happen in the 1600s.


Data Science Projects


Statistical Analysis of two Neoclassical Artists |

This project investigated whether there was a statistical difference between the saturation values used by two Neoclassical artists: one of which recommended to “never use bright colours […] they are anti-historic. It is better to fall into grey than into bright colours.”


Digimon, Digital Monster - Identifying The Strongest of All |

Short exploration of a Digimon dataset to identify the most frequent Digimon chosen when maximising an attribute.


Notes from Books