DERBYSHIRE (Reino Unido) (Inglaterra). Mapas generales. 1791 (1762-1767). 1:67000

Dedicatoria: "To the Rigth Honorable the President, vice-President And the rest of the Menbers of the Society, for the Encouragement of Arts &cc. this Survey of Derbyshire, Began in the Year 1762 and finished in the year 1767 is Humbly Dedicated By their much obliged Servant S.S. Bourdet"Escala gráfica de 6 millas [= 14'5 cm]. Coordenadas referidas al meridiano de Londres (O 2°01'--O 1°05'/N 53°34'--N 52°42'). Orientado con lis en rosa de ocho vientos. Recuadro geográfico de 1' en 1'Orografía a trazosTabla de signos convencionales para indicar ciudades, caminos y límitesDiferencia por colores los límites entre los distintos "hundred" del condadoTítulo enmarcado por un grabado que representa un paisaje. Dedicatoria enmarcada en cartela decorada con motivos vegetalesInserta : "Tres Series of great Triangles reduced to an Horizontal Plane" . "A plan of Derby". Escala [ca. 1:5800], 500 yardas [= 7'8 cm]. Principales puntos y edificios de la ciudad indicados por clave alfabétic

Forecasting in the light of Big Data

Predicting the future state of a system has always been a natural motivation for science and practical applications. Such a topic, beyond its obvious technical and societal relevance, is also interesting from a conceptual point of view. This owes to the fact that forecasting lends itself to two equally radical, yet opposite methodologies. A reductionist one, based on the first principles, and the naive inductivist one, based only on data. This latter view has recently gained some attention in response to the availability of unprecedented amounts of data and increasingly sophisticated algorithmic analytic techniques. The purpose of this note is to assess critically the role of big data in reshaping the key aspects of forecasting and in particular the claim that bigger data leads to better predictions. Drawing on the representative example of weather forecasts we argue that this is not generally the case. We conclude by suggesting that a clever and context-dependent compromise between modelling and quantitative analysis stands out as the best forecasting strategy, as anticipated nearly a century ago by Richardson and von Neumann

Inventories and the Stockout Constraint in General Equilibrium

We study the implications of a stockout constraint in a dynamic general equilibrium model, which can explain both standard business cycle and inventory facts. Under this constraint, inventories and demand are complements in generating sales, and hence the optimal level of inventories increases in expected demand. We show that the inventory to sales ratio is both persistent and countercyclical because the cost of carrying inventories is mainly determined by the interest rate. We use this model to disentangle output and sales, by matching the key inventory moments, and find that preference and productivity shocks are equally important in the data. Finally, we assess whether improvements in inventory management can explain the Great Moderation. We find that, although improvements in inventory management can reduce the need for inventory holdings, which decreases output volatility relative to sales volatility, lower levels of inventories actually increases sales volatility. Because these two effects offset each other, a change in inventory management does not change output volatility to any great extent

The discomforting rise of ' public geographies': a 'public' conversation.

In this innovative and provocative intervention, the authors explore the burgeoning ‘public turn’ visible across the social sciences to espouse the need to radically challenge and reshape dominant and orthodox visions of ‘the academy’, academic life, and the role and purpose of the academic

Urban Megatrends: Towards a European Research Agenda

The report presents the urban megatrends both worlwide and in Europe

Exploring the accessibility of sport stadia for people with disability: towards the development of a Stadium Accessibility Scale (SAS)

The aim of this paper is to synthesise existing literature on sports stadia, spectators with disabilities (SwD), and accessibility to identify themes and to highlight the gaps in the literature. This review subsequently develops two propositions that will enable research in this emerging area to further develop. The research was guided by two research questions: first, what does the peer reviewed evidence tell us about spectators with disability (SwD) and the accessibility of sporting stadia? Second, how can this information be used to develop a Stadium Accessibility Scale (SAS)? The authors conducted a rapid review of the literature across three databases that identified 34 papers for synthesis. Synthesis revealed three research themes: a focus on legislative compliance, the need to enhance resources (both physical and human); and research that focuses on moving beyond the stadium experience. The latter can be sub-divided into two streams – studies that look at accessibility as a social legacy of major events, and studies that seek to understand the whole journey that SwD’s must make to attend sport events. The study makes two key recommendations. The first is to encourage further research aligned to the HOPES framework (Paramio-Salcines et al., 2018) that explicitly recognises the importance of understanding the broader approach to the customer experience. The second is the need for the development and validation of a reliable SAS. Greater accessibility provides a foundation for inclusive environments in sport. The findings are relevant for all stakeholders in sport as universal accessibility benefits more than people with disabilities

Data journeys: Capturing the socio-material constitution of data objects and flows

In this paper, we discuss the development and piloting of a new methodology for illuminating the socio-material con- stitution of data objects and flows as data move between different sites of practice. The data journeys approach contributes to the development of critical, qualitative methodologies that can address the geographic and temporal scale of emerging knowledge infrastructures, and capture the ‘life of data’ from their initial generation through to re-use in different contexts. We discuss the theoretical development of the data journeys methodology and the application of the approach on a project examining meteorological data on their journey from initial production through to being re- used in climate science and financial markets. We then discuss three key conceptual findings from this project about: (1) the socio-material constitution of digital data objects, (2) ‘friction’ in the movement of data through space and time and (3) the mutability of digital data as a material property that contributes to driving the movement of data between different sites of practice

Orchestrating Tuple-based Languages

The World Wide Web can be thought of as a global computing architecture supporting the deployment of distributed networked applications. Currently, such applications can be programmed by resorting mainly to two distinct paradigms: one devised for orchestrating distributed services, and the other designed for coordinating distributed (possibly mobile) agents. In this paper, the issue of designing a pro- gramming language aiming at reconciling orchestration and coordination is investigated. Taking as starting point the orchestration calculus Orc and the tuple-based coordination language Klaim, a new formalism is introduced combining concepts and primitives of the original calculi. To demonstrate feasibility and effectiveness of the proposed approach, a prototype implementation of the new formalism is described and it is then used to tackle a case study dealing with a simplified but realistic electronic marketplace, where a number of on-line stores allow client applications to access information about their goods and to place orders