Spatial statistics to estimate peat thickness using airborne radiometric data

Soil carbon stores are a major component of the annual returns required by EU governments to the Intergovernmental Panel on Climate Change. Peat has a high proportion of soil carbon due to the relatively high carbon density of peat and organic-rich soils. For this reason it has become increasingly important to measure and model soil carbon stores and changes in peat stocks to facilitate the management of carbon changes over time. The approach investigated in this research evaluates the use of airborne geophysical (radiometric) data to estimate peat thickness using the attenuation of bedrock geology radioactivity by superficial peat cover. Remotely sensed radiometric data are validated with ground peat depth measurements combined with non-invasive geophysical surveys. Two field-based case studies exemplify and validate the results. Variography and kriging are used to predict peat thickness from point measurements of peat depth and airborne radiometric data and provide an estimate of uncertainty in the predictions. Cokriging, by assessing the degree of spatial correlation between recent remote sensed geophysical monitoring and previous peat depth models, is used to examine changes in peat stocks over time. The significance of the coregionalisation is that the spatial cross correlation between the remote and ground based data can be used to update the model of peat depth. The result is that by integrating remotely sensed data with ground geophysics, the need is reduced for extensive ground-based monitoring and invasive peat depth measurements. The overall goal is to provide robust estimates of peat thickness to improve estimates of carbon stocks. The implications from the research have a broader significance that promotes a reduction in the need for damaging onsite peat thickness measurement and an increase in the use of remote sensed data for carbon stock estimations.

How useful are databases in environmental and criminal forensics?

Advances in computational and information technologies have facilitated the acquisition of geospatial information for regional and national soil and geology databases. These have been completed for a range of purposes from geological and soil baseline mapping to economic prospecting and land resource assessment, but have become increasingly used for forensic purposes. On the question of provenance of a questioned sample, the geologist or soil scientist will draw invariably on prior expert knowledge and available digital map and database sources in a ‘pseudo Bayesian’ approach. The context of this paper is the debate on whether existing (digital) geology and soil databases are indeed useful and suitable for forensic inferences. Published and new case studies are used to explore issues of completeness, consistency, compatibility and applicability in relation to the use of digital geology and soil databases in environmental and criminal forensics. One key theme that emerges is that, despite an acknowledgement that databases can be neither exhaustive nor precise enough to portray spatial variability at the scene of crime scale, coupled with expert knowledge, they play an invaluable role in providing background or
reference material in a criminal investigation. Moreover databases can offer an independent control set of samples.

Justice for Victims before the International Criminal Court

Many prosecutors and commentators have praised the victim provisions at the International Criminal Court (ICC) as 'justice for victims', which for the first time include participation, protection and reparations. This book critically examines the role of victims in international criminal justice, drawing from human rights, victimology, and best practices in transitional justice.

Drawing on field research in Northern Uganda, Luke Moffet explores the nature of international crimes and assesses the role of victims in the proceedings of the ICC, paying particular attention to their recognition, participation, reparations and protection. The book argues that because of the criminal nature and structural limitations of the ICC, justice for victims is symbolic, requiring State Parties to complement the work of the Court to address victims' needs.

In advancing an innovative theory of justice for victims, and in offering solutions to current challenges, the book will be of great interest and use to academics, practitioners and students engaged in victimology, the ICC, transitional justice, or reparations.

The Role of Victims in the International Criminal Tribunals of the Second World War

This article analyses the role of victims within the founding international criminal tribunals of the Second World War, drawing from historical research of the practice and judgements of the Nuremberg and Tokyo tribunals. While some commentators have decried the absence of victims at Nuremberg and Tokyo, numerous victim-witnesses testified before these tribunals. However, the outcome of these tribunals has been disappointing to victims who still seek justice over sixty-five years later. This article considers the implications of the Nuremberg and Tokyo tribunals not providing justice to victims and how this has impacted on their legacy. Although these tribunals are neglected in contemporary discussions of victim provisions, they can still provide some important lessons for modern international criminal justice mechanisms, such as the International Criminal Court, to learn from.

Dyslexia in higher education: Implications for maths anxiety, statistics anxiety and psychological well-being

This study examined levels of mathematics and statistics anxiety, as well as general mental health amongst undergraduate students with dyslexia (n = 28) and those without dyslexia (n = 71). Students with dyslexia had higher levels of mathematics anxiety relative to those without dyslexia, while statistics anxiety and general mental health were comparable for both reading ability groups. In terms of coping strategies, undergraduates with dyslexia tended to use planning-based strategies and seek instrumental support more frequently than those without dyslexia. Higher mathematics anxiety was associated with having a dyslexia diagnosis, as well as greater levels of worrying, denial, seeking instrumental support and less use of the positive reinterpretation coping strategy. By contrast, statistics anxiety was not predicted by dyslexia diagnosis, but was instead predicted by overall worrying and the use of denial and emotion focused coping strategies. The results suggest that disability practitioners should be aware that university students with dyslexia are at risk of high mathematics anxiety. Additionally, effective anxiety reduction strategies such as positive reframing and thought challenging would form a useful addition to the support package delivered to many students with dyslexia.

Realising Justice for victims before the International Criminal Court

The International Criminal Court (ICC) has been celebrated for its innovative victim provisions, which enable victims to participate in proceedings, avail of protection measures and assistance, and to claim reparations. The impetus for incorporating victim provisions within the ICC, came from victims’ dissatisfaction with the ad hoc tribunals in providing them with more meaningful and tangible justice.1 The International Criminal Tribunals for the former Yugoslavia and Rwanda (ICTY/R) only included victim protection measures, with no provisions for victims to participate in proceedings nor to claim reparations at them. Developments in domestic and international law, in particular human rights such as the 1985 UN Declaration on Justice for Victims and the UN Guidelines on Remedy and Reparations, and transitional justice mechanisms, such as truth commissions and reparations bodies, have helped to expand the notion of justice for international crimes to be more attuned to victims as key stakeholders in dealing with such crimes.

With the first convictions secured at the ICC and the victim participation and reparation regime taking form, it is worth evaluating the extent to which these innovative provisions have translated into justice for victims. The first part of this paper outlines what justice for victims of international crimes entails, drawing from victimology and human rights. The second section surveys the extent to which the ICC has incorporated justice for victims, in procedural and substantive terms, before concluding in looking beyond the Court to how state parties can complement the ICC in achieving justice for victims. This paper argues that while much progress has been made to institutionalise justice for victims within the Court, there is much more progress needed to evolve and develop justice for victims within the ICC to avoid dissatisfaction of past tribunals.

Integrating Multiple Point Statistics with Aerial Geophysical Data to assist Groundwater Flow Models

The process of accounting for heterogeneity has made significant advances in statistical research, primarily in the framework of stochastic analysis and the development of multiple-point statistics (MPS). Among MPS techniques, the direct sampling (DS) method is tested to determine its ability to delineate heterogeneity from aerial magnetics data in a regional sandstone aquifer intruded by low-permeability volcanic dykes in Northern Ireland, UK. The use of two two-dimensional bivariate training images aids in creating spatial probability distributions of heterogeneities of hydrogeological interest, despite relatively ‘noisy’ magnetics data (i.e. including hydrogeologically irrelevant urban noise and regional geologic effects). These distributions are incorporated into a hierarchy system where previously published density function and upscaling methods are applied to derive regional distributions of equivalent hydraulic conductivity tensor K. Several K models, as determined by several stochastic realisations of MPS dyke locations, are computed within groundwater flow models and evaluated by comparing modelled heads with field observations. Results show a significant improvement in model calibration when compared to a simplistic homogeneous and isotropic aquifer model that does not account for the dyke occurrence evidenced by airborne magnetic data. The best model is obtained when normal and reverse polarity dykes are computed separately within MPS simulations and when a probability threshold of 0.7 is applied. The presented stochastic approach also provides improvement when compared to a previously published deterministic anisotropic model based on the unprocessed (i.e. noisy) airborne magnetics. This demonstrates the potential of coupling MPS to airborne geophysical data for regional groundwater modelling.

Detecting the work statistics through Ramsey-like interferometry

Out-of-equilibrium statistical mechanics is attracting considerable interest due to the recent advances in the control and manipulations of systems at the quantum level. Recently, an interferometric scheme for the detection of the characteristic function of the work distribution following a time-dependent process has been proposed [L. Mazzola et al., Phys. Rev. Lett. 110 (2013) 230602]. There, it was demonstrated that the work statistics of a quantum system undergoing a process can be reconstructed by effectively mapping the characteristic function of work on the state of an ancillary qubit. Here, we expand that work in two important directions. We first apply the protocol to an interesting specific physical example consisting of a superconducting qubit dispersively coupled to the field of a microwave resonator, thus enlarging the class of situations for which our scheme would be key in the task highlighted above. We then account for the interaction of the system with an additional one (which might embody an environment), and generalize the protocol accordingly.