Effective grain size distribution analysis for interpretation of tidal-deltaic facies: West Bengal Sundarbans

Research over the past two decades on the Holocene sediments from the tide dominated west side of the lower Ganges delta has focussed on constraining the sedimentary environment through grain size distributions (GSD). GSD has traditionally been assessed through the use of probability density function (PDF) methods (e.g. log-normal, log skew-Laplace functions), but these approaches do not acknowledge the compositional nature of the data, which may compromise outcomes in lithofacies interpretations. The use of PDF approaches in GSD analysis poses a series of challenges for the development of lithofacies models, such as equifinal distribution coefficients and obscuring the empirical data variability. In this study a methodological framework for characterising GSD is presented through compositional data analysis (CODA) plus a multivariate statistical framework. This provides a statistically robust analysis of the fine tidal estuary sediments from the West Bengal Sundarbans, relative to alternative PDF approaches.

Interpretation of Section 17 Employment Protection Act in the light of ECJ case law and under consideration of the cases pending before the Federal Labour Court

This article analyses the relevance of the ECJ ruling in Junk for German labour law.

The Day After Tomorrow: Transition Management, Spatial Planning & the Low Carbon Economy

Many of the societal challenges that current spatial planning practice claims to be addressing (climate change, peak oil, obesity, aging society etc) encompass issues and timescales that lie beyond the traditional scope planning policy (Campbell 2006). The example of achieving a low carbon economy typifies this in that it demands a process of society-wide transition, involving steering a wide range of factors (markets, infrastructure, governance, individual behaviour etc). Such a process offers a challenge to traditional approaches to planning as they cannot be guided by a fixed blueprint, given the timescales involved (up to 50 years) and an enhanced level of uncertainty, social resistance, lack of control over implementation and a danger of ‘policy lock in’ (Kemp et al 2007). One approach to responding to these challenges is the concept of transition management which has emerged from studies of science, technology and innovation (Geels 2002, Markard et al 2012). Although not without criticism, this perspective attempts to uncertainty and complexity encompassing long term visions that integrates multi-level, multi-actor and multi-domain perspectives (Rotmans et al 2001).
 
Given its origins, research on transition management has tended to neglect spatial contexts (Coenen et al 2012) and, related to this, it’s relationship with spatial planning is poorly understood. Using the example of the low carbon transition, this paper will review the relationships between the concepts, methodologies and goals of transition management and spatial planning to explore whether a closer integration of the two fields offers benefits to achieving the long term challenges facing society.