Utilising quadrat.count and quadrat.test to understand metal axes as spatial point patterns
<p>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.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0