This week saw the annual ‘Final Year Conference’, the showcase for the Stage 3 Geomatics students to present their dissertation research in a formal venue to their fellow students and to the staff and postgraduates in the School. A total of 31 Newcastle Geomatics students delivered talks in two parallel tracks with themed session titles including ‘Built Environment’, Spatial Analysis’ and ‘Geovisualisation’. The 12 final-year Geographic Information Science students’ topics were as follows:
Nada Alabdulwahed used an impressive range of satellite remote sensing imagery from the past 20 years to track the urban development of the city of Al Khobar in eastern Saudi Arabia. Standard image analysis and classification techniques along with ground truthing and integration with other data on population and land reclamation allowed for accurate quantification of urban growth.
Ed Drummond-Hay researched house price changes across England and Wales, using millions of records from Land Registry, ONS and commercial sources. His hypothesis was that house price increases in London ‘rippled’ out from the capital to affect the rest of the country after a time lag. The dynamic and animated representation of such patterns was an important part of the output from Ed’s research.
Emmanuel Egunyu aimed to create an online website resource to promote tourism in his native Uganda. Using OpenStreetMap data and open source technologies with PostGIS and Geoserver, he reported on the creation of a map-based information portal for those planning to visit national parks and view wildlife in this country.
Alexia Fenn’s study concentrated on the validity and reliability of observations from GPS receivers worn by athletes. A variation of sport/athletics course shapes, course distances, and exercise/movement intensities were examined. Walking, jogging, and sprinting over various distances and in a variety of course configurations were examined, with GPS accuracies determined for each exercise regime.
Will Franklin developed a system to estimate the safety of junctions on the road network in Newcastle. By calculating a Junction Risk Factor, based on a number of parameters related to road conditions and traffic volumes, he was able to develop a predictive model to determine the optimum location for investment in road network improvements.
Jo Gallagher’s interest in spatially-enabled Twitter data led to a study of the geolocation of football clubs’ fan base. He found that the ‘bigger’ the club, the more dispersed the distribution of fans – backing up the popular theory that the mean location of a Manchester United fan is some distance from Old Trafford.
Patryck Janicki’s research aimed to develop a geodatabase schema able to hold both CityGML data at Level of Detail 1 and main Industry Foundation Classes (IFC) classes. The ability of the schema to abide by standards, allow for SQL queries, hold geometry effectively, was to be supplemented by an effective visualisation flowline through export to QGIS. The outcomes of this project have impact on the integration of BIM with GIS.
This was also the focus of the research of Anthony Morley, who examined current technologies for importing a BIM model into a geospatial environment and assessing interoperability. This involved using a range of software and data formats, including ArcMap, ArcScene, ESRI City Engine, REVIT, AutoCAD and FME. The geometric and semantic integrity of the model, and the needs of users were considered.
Amber Kaye-Kenyon chose the analytical capabilities of ArcMap, ArcScene and City Engine (including Buffer, Viewshed and Line of Sight (LOS)) to look at the modelling of an urban sensor network. In the context of the instrumented city concepts being developed in Newcastle upon Tyne, particularly around the university’s new Science Central campus, ease of use, visualisation and effective monitoring of the sensor network were derived.
Ben Nicholls undertook a very detailed study of some of the rich cartographic generalisation tools in ArcGIS. Applying these to different types of feature (railways, contours, buildings etc. as represented on large scale Ordnance Survey data), and in different locations (e.g. central urban zones, rural regions), Ben presented an impressive assessment of the data pre-processing, algorithm effectiveness and presentation quality of such procedures.
Josh Watson’s theme was a big data set dealing with cardiac arrests outside hospital. The spatial and temporal distribution of these events was determined, as a precursor to understanding the nature of the phenomenon and to try to raise low survival rates in the North East. Clusters of cases were apparent and these were linked to population distribution, to ambulance stations and response times, and to times of day, season and year.
The remaining students (Surveying and Mapping Science students) pursued research topics in a wide range of other spatial themes, many of which have a GIS ‘flavour’. Environmental monitoring of coasts, glaciers, urban heat, and floods used GIS tools, as did further investigations of BIM, and further social investigations of education from a GI perspective.