Utilising quadrat.count and quadrat.test to understand metal axes as spatial point patterns
Linda Marie Bjerketvedt · Zenodo (CERN European Organization for Nuclear Research) · 2020
As part of a Master's thesis, the spatial distribution and density of metal axes found by private metal detectorists were assessed in relation to different covariates: soil type, soil texture, land cover and estimated preservation capacity (Kibblewhite et al. 2016). The data derives from England and Wales (Portable Antiquities Scheme), Denmark (Digitale Metaldetektorfund) and the Netherlands (Portable Antiquities Scheme). Calculations were performed with the functions 'quadrat.count', 'intensity.quadratcount' and 'quadrat.test' in R. There are three separate .Rmd files per country, each refering to a particular covariable.