Free and Open Source Software Development in Archaeology. Two interrelated case studies: gvSIG CE and Survey2GIS

Bibby, David; Ducke, Benjamin

doi:10.11141/ia.43.3

Cited by 5 publications

(4 citation statements)

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“…The expected amount of data will therefore consist of small (<100 KB) and big (> 1 GB) files and not exceed 4 TB in volume in total. To cope with these data appropriately, we follow recent DH paradigms in open science: for data input, management, and processing, free and open-source software (FOSS) will be used as far-reaching as possible, and the whole data management and -storage workflow will be compliant with various open access initiatives and according to the FAIR principles (Bibby & Ducke, 2017).…”

Section: Methods and Tools Usedmentioning

confidence: 99%

IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A «para-description»

Hagmann,

Reiner

2023

Peer Community Journal

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Section: Methods and Tools Usedmentioning

confidence: 99%

IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A «para-description»

Hagmann,

Reiner

2023

Peer Community Journal

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“…However, FOSS GIS can, and does work in many -if not most -other realms of archaeological practice. GVsig, for example, is developed by the Spanish government, and is used for the majority of salvage archaeological work in Spain (Bibby & Ducke, 2017). More broadly, however, we see that the OSGeo foundation has created the backbone for a seamless transition from commercial GIS to FOSS GIS in general.…”

Section: Roadblocks and Ways Forwardmentioning

confidence: 99%

Paradigm or Practice? Situating GIS in Contemporary Archaeological Method and Theory

Ullah,

Clow,

Meling

2023

J Archaeol Method Theory

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Geographic Information Systems (GIS) has been used in archaeology for four decades, and colloquially appears to have become a main tool in the geospatial aspects of archaeological practice. In this paper, we examine temporal trends in the use and/or mention of GIS in archaeological publications (books and journal articles), conference presentations, and websites. We gathered data through keyword searches and with formal sampling surveys and conducted both quantitative and qualitative analyses to characterize the changing nature and intensity of GIS use in archaeology over time. We show how archaeological GIS-use has grown from a few early adopters of the 1980's, through a slow initial integration phase in the 1990's, to a punctuated set of two major expansions in the 2000's and 2010's. While we nd that basic use of GIS has grown to the point where it can be considered ubiquitous -if not universal -in the discipline, we also discovered that the major focus in archaeological GIS advancement is methodological rather than theoretical. We provide a historical context to this temporal pattern and identify ve roadblocks that we believe have hampered the development of a theory-rich archaeological GIS: 1) de ciencies in the archaeological GIS education model, 2) over-reliance on commercial software, 3) technical/technological barriers, 4) gaps in acceptance of GIS, and 5) the perception of GIS as "just a tool." We offer initial suggestions for ways forward to mitigate the effects of these roadblocks and build a more robust, theoretically sophisticated relationship with GIS in archaeology.Recent research into publishing trends in archaeology has elucidated issues of prestige and power inequities (Beck et al., 2021), gender and diversity (Bardolph, 2014;Fulkerson & Tushingham, 2019), and the growth of methodological specialties (Gaffney, 2008). In this paper, we focused on the ubiquity and character of GIS use within archaeology. We proceeded with a three-tiered approach to understanding GIS publication trends. The rst phase was designed to provide a baseline, coarse-grained overview of the general temporal trends of GIS usage within the discipline across a broad set of publication types and venues. The second phase examines trends and types of archaeological GIS usage at a ner, more detailed scale in a targeted subset of publication venues. The nal phase seeks to contextualize the results of the rst two phases and to provide a more nuanced understanding of how archaeologists have used, are using, and will continue to use GIS within the discipline.

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“…The use of such software often implies issues such as the impossibility of accessing the source code and the use of inaccessible file formats that make it difficult to export the obtained results; the results are often also difficult to reproduce, and the use of the software usually requires a license payment. The archaeological community is becoming increasingly aware that the use of free and open-source software (FOSS) is one of the steps toward the sustainable development of archaeology [69]. The presented classification and prediction approach was developed in R, a FOSS that is being widely used for statistical analysis, data mining and data visualization.…”

Section: Free and Open-source Softwarementioning

confidence: 99%

“…Full publication of the source code is a common demand in any scientific research involving computer codes. Reproducibility is one of the obvious criteria to assess the quality of archaeological research objectively [69]. The publication of the source code allows feedback in the form of collaborative peer review; the exchange of ideas can bring about improved, extended or customized versions of the code.…”

Section: Free and Open-source Softwarementioning

confidence: 99%

Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments

et al. 2022

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Code and data sharing are crucial practices to advance toward sustainable archaeology. This article explores the performance of supervised machine learning classification methods for provenancing archaeological pottery through the use of freeware R code in the form of R Markdown files. An illustrative example was used to show all the steps of the new methodology, starting from the requirements to its implementation, the verification of its classification capability and finally, the production of cluster predictions. The example confirms that supervised methods are able to distinguish classes with similar features, and provenancing is achievable. The provided code contains self-explanatory notes to guide the users through the classification algorithms. Archaeometrists without previous knowledge of R should be able to apply the novel methodology to similar well-constrained classification problems. Experienced users could fully exploit the code to set up different combinations of parameters, and they could further develop it by adding other classification algorithms to suit the requirements of diverse classification strategies.

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Free and Open Source Software Development in Archaeology. Two interrelated case studies: gvSIG CE and Survey2GIS

Cited by 5 publications

References 1 publication

IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A «para-description»

IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A «para-description»

Paradigm or Practice? Situating GIS in Contemporary Archaeological Method and Theory

Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments

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