1,720,973 research outputs found
Introducing a web-based portal to explore the concept of coastal resilience
No full textFor operational use there is a need to identify a set of measures that quantify the resilience. The ‘CoastRes’ project, a component of the UK Climate Resilience Programme, examined how an operational interpretation of resilience might be applied to the coast, building on existing approaches to shoreline management in the UK. The development of the methodology and resulting Coastal Resilience Model has been reported elsewhere. For this communication, we provide a brief summary of the management framework, the Coastal Resilience Model (CRM) and the preparation of the datasets, so that the limitations of the data available at a national scale are clear. We then illustrate how the Coastal Resilience Model has been implemented as the web-based CRM Portal. The purpose of the portal is to allow users to explore (i) the implications of future change on local and national resilience; and (ii) their own view of the relative importance of the Performance Measures that make up the Coastal Resilience Index. By exploring the influence of these weightings it is hoped that Stakeholders can develop a shared understanding of what is important for coastal communities. The CRM Portal can be accessed at: https://coastalresilience.uk/crm/
The development of a routable pavement network dataset to support active travel
No full textActive travel (AT) networks have only recently become a priority for urban planners in many countries, and networks of spatial data and applications that use them are also lacking. Road networks have historically been used as a proxy for pedestrian networks, yet they are a poor one as human movement is much less constrained than that of motorised vehicles. This study presents a novel approach to producing an attribute-rich network for AT, together with a semi-automated method to produce a width-attributed pavement network from topographic mapping agency data (based on a case study of Ordnance Survey (OS) MasterMap data from the UK). A shortest path network routing application using Dijkstra’s algorithm is presented to demonstrate the possibilities of AT routing incorporating increased attribution. The paper concludes by firstly proposing additional steps to further enhance the attribution of the network and finally by describing the relevant policy implications of this work
Putting the census on the web: lessons from two case studies
No full textThis paper addresses the digital dissemination of geographically referenced census information in the UK. A number of important weaknesses in the 1991 model of data access are identified, and the possibility of future access to census information via the World Wide Web is then addressed in detail. Two case studies demonstrate the potential to overcome some fundamental weaknesses in earlier access models, including the provision of integrated data and metadata, graphical interfaces to geographical datasets, and an integrated interface and analysis environment
A tool to predict environmental risk to UK rail infrastructure
No full textResearchers from the University of Southampton have collaborated with the rail industry's independent safety body RSSB on a pilot project for a geospatial risk model. The aim was to use the model to analyse and map derailments, suicides and slip, trip and fall risks across the UK rail network, initially in the Wessex region. The research has been extended to incorporate the impact of historic and real-time environmental data on rail risk. This paper presents a detailed description of the investigations, the resulting methodology and a prototype toolkit. The toolkit incorporates environmental conditions combined with rail incident data to help model and predict increased risk in real time
Specification of high-level application programming interfaces (SemSorGrid4Env)
No full textThis document defines an Application Tier for the SemsorGrid4Env project. Within the Application Tier we distinguish between Web Applications - which provide a User Interface atop a more traditional Service Oriented Architecture - and Mashups which are driven by a REST API and a Resource Oriented Architecture. A pragmatic boundary is set to enable initial development of Web Applications and Mashups; as the project progresses an evaluation and comparison of the two paradigms may lead to a reassessment of where each can be applied within the project, with the experience gained providing a basis for general guidelines and best practice. Both Web Applications and Mashups are designed and delivered through an iterative user-centric process; requirements generated by the project case studies are a key element of this approach
GeoSRM - online geospatial safety risk model for the GB rail network
No full textRSSB and the University of Southampton's GeoData Institute have collaborated to research and develop a toolkit for managing large volumes of rail risk data. The pilot system encompasses concepts of highly complex geospatial 'big data', open standards, open source development tools and methodologies, and enables stakeholders to filter, analyse and visualise risk across the rail network, for a range of risk models. These include train derailments, suicides and passenger slip, trips and falls, and feature a wide range of spatially dependent parameters that affect the causal, escalation and consequence mechanisms. The risk has been calculated to a high resolution, splitting 2,100,000 m of track typically into 10 m sections. By creating geospatial representations of risk, the tool can help to identify risk hotspots and in this way contribute to the improvement of rail safety. Once scaled up to a National level and full range of risk models, the tool will deliver a powerful capability, unique across Europe. Further research is extending the prototype to incorporate live and historic environmental and related rail incident data to augment and improve the risk model
Implementation and Deployment of a Library of the High-level Application Programming Interfaces (SemSorGrid4Env)
No full textThe high-level API service is designed to support rapid development of thin web applications and mashups beyond the state of the art in GIS, while maintaining compatibility with existing tools and expectations. It provides a fully configurable API, while maintaining a separation of concerns between domain experts, service administrators and mashup developers. It adheres to REST and Linked Data principles, and provides a novel bridge between standards-based (OGC O&M) and Semantic Web approaches. This document discusses the background motivations for the HLAPI (including experiences gained from any previously implemented versions), before moving onto specific details of the final implementation, including configuration and deployment instructions, as well as a full tutorial to assist mashup developers with using the exposed observation data
Linked Sensor Data: RESTfully serving RDF and GML
No full textPublishing sensor observations on the Linked Data web is the first step in enabling the development of semantic web applications and mashups that can utilise sensor data. We present the design for a prototype API exposing data from the Channel Coastal Observatory in the UK. By combining REST and Linked Data principles we support both Semantic Web clients, OGC GML clients, and hybrid applications that can transpose between these, and other, representations
RESTfully serving RDF and GML semantic sensor grids for rapid application development for environmental linked data on the semantic web
No full textPublishing sensor observations on the Linked Data web is the first step in enabling the development of semantic web applications and mashups that can utilise sensor data. We present the design for a prototype API exposing data from the Channel Coastal Observatory in the UK. By combining REST and Linked Data principles we support both Semantic Web clients, OGC GML clients, and hybrid applications that can transpose between these, and other, representations
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