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All Outputs (7)

Predicting residential building age from map data (2018)
Journal Article
Rosser, J., Boyd, D., Long, G., Zakhary, S., Mao, Y., & Robinson, D. (2019). Predicting residential building age from map data. Computers, Environment and Urban Systems, 73, 56-67. https://doi.org/10.1016/j.compenvurbsys.2018.08.004

The age of a building influences its form and fabric composition and this in turn is critical to inferring its energy performance. However, often this data is unknown. In this paper, we present a methodology to automatically identify the construction... Read More about Predicting residential building age from map data.

Full Metadata Object profiling for flexible geoprocessing workflows (2018)
Journal Article
Rosser, J. F., Jackson, M., & Leibovici, D. (2018). Full Metadata Object profiling for flexible geoprocessing workflows. Transactions in GIS, 22(5), 1221-1237. https://doi.org/10.1111/tgis.12460

The design and running of complex geoprocessing workflows is an increasingly common geospatial modelling and analysis task. The Business Process Model and Notation (BPMN) standard, which provides a graphical representation of a workflow, allows stake... Read More about Full Metadata Object profiling for flexible geoprocessing workflows.

Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms (2018)
Journal Article
Beck, A., Long, G., Boyd, D. S., Rosser, J. F., Morley, J., Duffield, R., …Robinson, D. (2020). Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms. Environment and Planning B: Urban Analytics and City Science, 47(1), 45-64. https://doi.org/10.1177/2399808318762436

Estimating residential building energy use across large spatial extents is vital for identifying and testing effective strategies to reduce carbon emissions and improve urban sustainability. This task is underpinned by the availability of accurate mo... Read More about Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms.

Earth observation for citizen science validation, or citizen science for earth observation validation? The role of quality assurance of volunteered observations (2017)
Journal Article
Leibovici, D. G., Williams, J., Rosser, J. F., Hodges, C., Chapman, C., Higgins, C., & Jackson, M. J. (2017). Earth observation for citizen science validation, or citizen science for earth observation validation? The role of quality assurance of volunteered observations. Data, 2(4), https://doi.org/10.3390/data2040035

Environmental policy involving citizen science (CS) is of growing interest. In support of this open data stream of information, validation or quality assessment of the CS geo-located data to their appropriate usage for evidence-based policy making ne... Read More about Earth observation for citizen science validation, or citizen science for earth observation validation? The role of quality assurance of volunteered observations.

Data driven estimation of building interior plans (2017)
Journal Article
Rosser, J. F., Smith, G., & Morley, J. (in press). Data driven estimation of building interior plans. International Journal of Geographical Information Science, 31(8), https://doi.org/10.1080/13658816.2017.1313980

This work investigates constructing plans of building interiors using learned building measurements. In particular, we address the problem of accurately estimating dimensions of rooms when measurements of the interior space have not been captured. Ou... Read More about Data driven estimation of building interior plans.

Rapid flood inundation mapping using social media, remote sensing and topographic data (2017)
Journal Article
Rosser, J. F., Leibovici, D., & Jackson, M. (in press). Rapid flood inundation mapping using social media, remote sensing and topographic data. Natural Hazards, https://doi.org/10.1007/s11069-017-2755-0

Flood events cause substantial damage to urban and rural areas. Monitoring water extent during large-scale flooding is crucial in order to identify the area affected and to evaluate damage. During such events, spatial assessments of floodwater may be... Read More about Rapid flood inundation mapping using social media, remote sensing and topographic data.

Modelling of building interiors with mobile phone sensor data (2015)
Journal Article
Rosser, J., Morley, J., & Smith, G. (2015). Modelling of building interiors with mobile phone sensor data. ISPRS International Journal of Geo-Information, 4(2), https://doi.org/10.3390/ijgi4020989

Creating as-built plans of building interiors is a challenging task. In this paper we present a semi-automatic modelling system for creating residential building interior plans and their integration with existing map data to produce building models.... Read More about Modelling of building interiors with mobile phone sensor data.