Datasets, R scripts, R functions, R objects of trial case study data for paper on data integration

This is a collection of the materials including the original source data for the integration paper called "Multiscalar Integration of Dense and Sparse Spatial Data: an Archaeological Case Study with Magnetometry and Geochemistry" accepted for publication in Surveys in Geophysics journal in 2024

paper DOI: https://doi.org/10.1007/s10712-024-09834-y

readable version of paper: https://rdcu.be/dICQu

the collection includes folders:

• folder "data_original" with original datasets of geophysical magnetometer data ("gph_original.dat"), geochemical pXRF data ("gchm_original.csv"), coordinates of geophysical research area corners ("gph_corners.csv") and the shapefile of the enclosure ("enclosure.shp")
• folder "Figures" which contains the figures generated in R session during the data analysis and other figures used in paper as well
• folder "functions", which are ready to be read into R session; the functions are a part of the Github.com repository "gedaw" which can be also found under DOI: https://doi.org/10.5281/zenodo.7297055
• folder "GIS_objects" which contains GIS objects created during R session according to the scripts and stored here to be used in GIS programs and applications
• folder "R_objects" which contains majority of the R objects created during R session according to the scripts; this folder contains the objects which are time consuming to create and therfore their creation can be skipped and these objects can be uploaded into R session directly from this folder

the collection also includes scripts:

• scripts are used during R session and represent the workflow of the integration method presented in the paper
• script 1 focuses on pre-processing, can be skipped, as the objects created in pre-processing can be directly uploaded from the folder R_objects
• script 2 contains simple version of the script, which is shortened only to needed minimum and is to be used for direct and fast getting knowledge of how the method works
• script 3 contains all and thorough method workflow with all the computations and operations, its purpose is to serve as detailed and commented insight into how the method works
• script 4 contains scripts for all the figures used in the paper

Authors affiliations:

Jan Horák¹, Richard Hewitt², Julien Thiesson³, Roman Křivánek⁴, Alžběta Danielisová⁴, Martin Janovský⁵

1 – Department of Archaeology, Faculty of Philosophy, University of Hradec Králové, Rokitanského 62, 50003 Hradec Králové, Czechia

2 – Institute of Economy, Geography and Demography, Centre for Human and Social Sciences, National Research Council (CSIC), C/ de Albasanz, 26, 28037 Madrid, Spain

3 – Sorbonne Université, UMR 7619 METIS - case courrier 105 - 4 place Jussieu - 75252 Paris Cedex 05 – France

4 – Institute of Archaeology of Czech Academy of Sciences, Letenská 123, 118 01 Prague, Czechia

5 – Department of Archaeology, Faculty of Arts, Charles University, nám. Jana Palacha 2, 11638 Prague, Czechia

Authorship and contribution statement

All authors generally contributed to Writing – review and editing and specifically to various tasks as following: Jan Horák: Idea and Conceptualization, Investigation, Formal Analysis, Software, Visualization, Interpretation, Writing – original draft; Richard Hewitt: Formal analysis, Software and Interpretation focused on randomization; Julien Thiesson: Investigation and Interpretation of geophysics; Roman Křivánek: Authorship of geophysical dataset, Interpretation of geophysics; Alžběta Danielisová: Authorship of geochemical dataset, Interpretation of Geochemistry and Archaeology; Martin Janovský: Formal analysis consultation, Interpretation of Geochemistry and Archaeology.