Quantifying artefacts over time: Interval estimation of a Poisson distribution using the Jeffreys prior

This paper presents a new method for estimating the amount of an artefact class in use at a given moment in the past from a random assemblage of archaeological finds. The method is based on the use of simulation, since an analytical solution is computationally impractical. Estimating the number of artefacts in use at any time t is shown to follow a Poisson distribution, which allows for credible intervals to be established using the Jeffreys prior. This estimator works from minimal assumptions about the dating and duration of finds, as well as the intensity of collection, and is applied to coinage from four Roman‐period sites excavated by the Roman Peasant Project (2009–14). The result provides an estimation of the abundance of material according to an interval of certainty.     

Orientation of the Romanesque churches in the region of Val d’Aran,Spain (11th–13th centuries)

This study examines an ensemble of Romanesque churches in the region of Val d’Aran in the Spanish Pyrenees, built between the 11th and 13th centuries. Seven topographical studies performed between 2014 and 2015 examined these churches systematically using terrestrial laser scanning (TLS) as a data‐acquisition technique. The data obtained allowed for a geometrically accurate analysis of the orientation of these churches based on four Romanesque liturgies: Gemma animae (c.1120), by Honorius of Autun; Rationale divinorum officiorum (c.1150), by Jean Beleth; Mitralis de Officio (1190), by Sicard, Bishop of Cremona; and Prochiron, vulgo rationale divinorum officiorum (1291), by Guillaume Durand.     

NMR as a new tool for cultural heritage application: The provenance of ancient white marbles

Identifying the origin of marble used in antiquity brings back to light details of the economic, social and political organization of classical societies, and characterizing in depth the chemistry of marble is key to discovering its provenance. Beyond X‐ray diffraction, which could reveal the presence of discriminant secondary crystalline phases and the quantification of accessory minerals combined with a multivariate analysis approach, solid‐state nuclear magnetic resonance (NMR) enables one to recognize the local structure arrangement of both crystalline and amorphous materials by looking at one or more selected atoms. In present paper targets the ¹³C nuclide, and thus the major component of marble, calcium carbonate. Whatever their geological origin, marbles ¹³C‐NMR spectra present only one resonance corresponding to the carboxyl function whose intensity and line width vary from one marble to another. If the variation of the NMR signal intensity observed is the result of great T1 variations (from 220 to 5300 s) and is linked to iron content, the line width reflects defects in the calcite crystal in which calcium has been replaced by another element such as magnesium, aluminium or strontium. The specific profile of the NMR signal has been used successfully to help determine the origin of some archaeological items.     

NEW ANALYSIS OF CYLINDRICAL AND OVOID JARS (‘ARCHIVE JARS') FROM SOUTHERN JUDEA

This paper presents new compositional analysis of 26 fragments of the much‐debated cylindrical and ovoid jars, a vessel type first defined at Khirbet Qumran and associated with the Dead Sea Scrolls. The new samples include 15 examples from Tel ?evron, a site which yielded a pottery workshop and that carries certain similarities with Khirbet Qumran during the Early Roman period, as well as several examples from Jericho and Masada. According to the new as well as previous analyses, many of these jars were produced in the ?evron area; another source may be located in the northern Dead Sea area. The actual function of these jars, and whether they ever contained scrolls, is still unclear.     

Crime Risk Maps: A Multivariate Spatial Analysis of Crime Data

In crime analyses, maps showing the degree of risk help police departments to make decisions on operational matters, such as where to patrol or how to deploy police officers. This study statistically models spatial crime data for multiple crime types in order to produce joint crime risk maps. To effectively model and map the spatial crime data, we consider two important characteristics of crime occurrences: the spatial dependence between sites, and the dependence between multiple crime types. We reflect both characteristics in the model simultaneously using a generalized multivariate conditional autoregressive model. As a real‐data application, we examine the number of incidents of vehicle theft, larceny, and burglary in 83 census tracts of San Francisco in 2010. Then, we employ a Bayesian approach using a Markov chain Monte Carlo method to estimate the model parameters. Based on the results, we detect the crime hotspots, thus demonstrating the advantage of using a multivariate spatial analysis for crime data.     

L'identification des zones calmes et un diagnostic d’équité environnementale à Montréal

Quiet urban areas are places with low noise levels that can help people to support physical and mental wellness. This paper has two objectives: to identify quiet urban areas in Montreal and to check for the presence of environmental inequities in access to such areas for vulnerable groups (children, older people, low‐income individuals, and visible minorities). Using a GIS‐based methodology, 2,282 quiet urban areas were identified in Montreal. The results of a mixed effects logistic regression model analysis showed that there are no major inequities in access to quiet urban areas for the population groups studied. The analysis did, however, revealed substantial spatial disparities in terms of the distribution of quiet urban areas across the boroughs and municipalities examined.     

L’émergence de la grappe industrielle de l'intelligence artificielle (IA) à Montréal

The paper analyses the emergence of the Artificial Intelligence (AI) cluster in Montreal and investigates two questions: (1) What are the different theoretical interpretations related to the emergence of industrial cluster? And (2) What are the factors underlying the emergence of the AI cluster in Montreal and to what extent have local and global factors been decisive in this respect? The AI cluster emerges through a process that brings into play the interaction between the local initial conditions and the birth of a new industry. Moreover, it also involves an interaction between the local and the global, which is supported by interactions with foreign actors located in different parts of the world.