Visit of Peat Allan, Principal Consultant, Ordnance Survey – 11/10/2012

As part of Geospatial Engineering’s involvement in developing a national-scale infrastructure asset database, alongside developing spatial and topological representations of multiple national-scale infrastructure networks, we have been liaising with the Ordnance Survey about our data requirements. As a project partner of the Infrastructure Transitions Research Consortium (ITRC –, under which this infrastructure work is being undertaken, the Ordnance Survey has supplied multiple datasets and feature types, at various geographic scales, from a range of their products, including infrastructure features from Points of Interest.

A meeting between those involved in this work from Geospatial Engineering @ Newcastle, and Peat Allan, Principal Consultant at Ordnance Survey, took place on October 11th to discuss the use of OS data for network creation. A number of examples of spatial and topological network creation from Ordnance Survey Meridian and Strategi Road and Rail data were discussed, leading to specific discussions regarding data requirements for infrastructure and environment projects being undertaken at the School of Civil Engineering and Geosciences at Newcastle University, and more widely within the research community.

As follow up to these discussions, further meetings between those involved in infrastructure projects within the School will be held within October and November to try to understand and identify where there may be common “knowledge and data” gaps across different research projects. It is intended that this information is fed back to the Ordnance Survey to help understand where further information is required to facilitate infrastructure-related research projects.

TyReNe Meeting September 2012

As part of the TyReNe meeting in September 2012 a breakout group continued with writing a collaborative multi-disciplinary paper relating to the broad topic of modelling (summarised below). The group aim to carry on working together and to have a publishable paper in the not-too-distant future.

Summary of key topics

Modelling is “the process of generating a model as a conceptual representation of some phenomenon”. The output has a purpose, although this varies between disciplines and phenomena studied. Models have limitations; are unable to fully capture reality, although transparency and accuracy help to ensure credibility.

Modelling and Scenarios

Future-oriented studies widely apply scenario analysis that “attempts to describe in some detail a hypothetical sequence of events that could lead plausibly to the situation envisaged”. But different meanings exist for modelling used alongside scenarios: ‘what-if’ picture of reality; or a technique for developing scenarios, as well as contradictions to how scenario building links to forecasting.

Economic Models

The only source of data for these models is the market. The data has high degrees of abstraction and simplification; although agent based and stochastic models attempt to overcome this. Integrated assessment models (IAMs) can do be both stochastic and agent-based models. One such IAM is the Dynamic Integrated model of Climate and the Economy (DICE), which (as is the case with all IAMs) combines economics and climate sciences. Basic equations facilitate analysis, although questions have been raised about the appropriateness of simplistic assumptions.

Weather and Climate Models

Throughout history people attempted weather prediction. However, it took until the mid-20th century, to attempt modelling based on physical principles, and build global climate models; such as Atmosphere-Ocean General Circulation Models (AOGCMs).

Resource Models

Over recent decades the demand for resources has increased to which it outstrips supply to the extent that it is now widely considered to be a limiting factor and serious threat to the functionality of economies and society. As non-renewable resources are finite, the availability and abundance drives supply and demand projections. Whereas approaches for modelling infinite renewable resources tend to differ, the focus is still on projecting supply and demand, and quantifying the extent of the resource reserve.

Infrastructure Modelling

The lifeline infrastructure networks provide: safe drinking water, sanitary conditions, warmth and light, communication, and transportation. Models that integrate various infrastructure networks are in their infancy and, similarly to research in the field of climate change, many recent decision support models have embraced uncertainties, assessing various solutions/strategies under multiple possible futures. Such models facilitated decision-making in land use, transport and energy technology sectors against the various scenarios, testing their resilience to the potential futures.

Discussion Points

  • Range of model of different complexity are useful
    • Simplistic v/s complicated
    • Complexity in the modelling process v/s ease of interpreting result
    • Also models should fulfill standards
      • Transparency
      • Subjectivity
      • Take in to account criticisms

Geomatics and Water Seminar Series

Hi all,

This week saw the restart of our seminar series in conjunction with the water group from within our School. A weekly event during term time, with seminars held on Monday lunch times, sees a good turn out from staff, researchers and students from both the undergraduate and postgraduate degree programmes.

To kick-off this year we hosted Muki Haklay from UCL speaking on ‘Crowdsourced geographic information and citizen science – can we trust the data?’ With a strong turn out from all, the presentation went down well amongst those present. The presentation included many interesting and thought provoking points as well as intriguing results about the accuracy of Open Street Map compared to Ordnance Survey data.

Next week the series sticks with a geospatial engineering theme when Simon Buckley from the Centre for Integrated Petroleum Research (Bergen) will be presenting ‘Integration of close range hyperspectral imaging and terrestrial lidar for geological outcrop mapping’.

New team members

We welcome a few new members to the Geospatial Engineering group at Newcastle at the start of this new academic year. There are two more students starting their PhD’s with us and a new member of staff. More details on their roles and research interests will published as they settle into life in the department.