During a two‐week campaign in 2017, we verified burial mounds from 40‐year‐old Soviet topographic maps covering the northern part of the Yambol province, southeast Bulgaria. The aims of the project were to monitor the health of the burial mounds as well as to assess the reliability of Soviet maps at 1:50 000 scale and their utility for archaeological purposes. Three teams of volunteers visited and systematically documented 257 archaeological features, of which 200 were identified as burial mounds. Field documentation was conducted digitally, using a customization of the FAIMS Mobile platform, an offline ystem for integrated collection of multimedia with structured and spatial data. After field‐capture, data were synchronized and labelled automatically, allowing the teams to focus on questions of interpretation, burial mound definition, and the assessment of topographic map reliability. Of the present sample of mounds in the landscape, 73% were documented in the Soviet maps with very little spatial or attribute error. Comparison of mound condition with monitoring done in the south part of Yambol during 2009–2010 shows that while mounds are destroyed less aggressively, a larger percentage of mounds is impacted in the northern (4% of pristine mounds) compared to the southern (11%) part of the Yambol province.

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.

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