Datplot
A New R Package for the Visualization of Date Ranges in Archaeology
Bibliographic Data
| ID | 13085356 |
|---|---|
| Authors | Lisa Steinmann (0000-0002-2215-1243, Universität Hamburg), Barbora Weissová (0000-0002-3297-6855, Ruhr University Bochum, corresponding author) |
| Year | 2021 |
| Volume | 9 |
| Issue | 4 |
| Pages | 288-298 |
| Publication date | 2021-05-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Advances in Archaeological Practice (JOURNAL) |
| Journal identifiers | ISSN: 2326-3768 • E-ISSN: 2326-3768 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/aap.2021.8 |
| OpenAlex | W3165485472 |
| Language | EN |
| Citations received | 3 |
| References cited | 15 |
This article introduces datplot, an R package designed to prepare chronological data for visualization, focusing on the treatment of objects dated to overlapping periods of time. Datplot is suitable for all disciplines in which scientists long for a synoptic method that enables the visualization of the chronology of a collection of heterogeneously dated objects. It is especially helpful for visualizing trends in object assemblages over long periods of time—for example, the development of pottery styles—and it can also assist in the dating of stratigraphy. As both authors come from the field of classical archaeology, the examples and case study demonstrating the functionality of the package analyze classical materials. In particular, we focus on presenting an assemblage of epigraphic evidence from Bithynia (northwestern Turkey), with a microregional focal point in the territory of Nicaea (modern Iznik). In the article, we present the internal methodology of datplot and the process of preparing a dataset of categorically and numerically dated objects. We demonstrate visualizing the data prepared by datplot using kernel density estimation and compare the outcome with more established methods such as histograms and line graphs
Archaeology · Chronology · Focus (optics · Geography · Object (grammar · Pottery · Process (computing · Visualization · Archaeology and ancient environmental studies · Computer Science · History · Image Processing and 3D Reconstruction · Pleistocene-Era Hominins and Archaeology · Artificial Intelligence · Geology · Paleontology · Stratigraphy
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Catch Per Unit Research Effort
| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |