Outputs (6)

Converting an existing taxonomic data resource to employ an ontology and LSIDs. (2006)
Presentation / Conference Contribution
Kennedy, J., Gales, R., & Kukla, R. (2006, October). Converting an existing taxonomic data resource to employ an ontology and LSIDs. Presented at Taxonomic Data Working Group (TDWG) 2006

Data sharing is fundamental to biodiversity and taxonomic data applications, however previous attempts at developing mechanisms to facilitate sharing within the community have had limited effect. Reasons for this include the lack of take up of data e... Read More about Converting an existing taxonomic data resource to employ an ontology and LSIDs..

Standard Data Model Representation for Taxonomic Information (2006)
Journal Article
Kennedy, J., Hyam, R., Kukla, R., & Paterson, T. (2006). Standard Data Model Representation for Taxonomic Information. OMICS, 10(2), 220-230. https://doi.org/10.1089/omi.2006.10.220

The names used by biologists to label the observations they make are imprecise. This is an issue as workers increasingly seek to exploit data gathered from multiple, unrelated sources on line. Even when the international codes of nomenclature are fol... Read More about Standard Data Model Representation for Taxonomic Information.

Scientific names are ambiguous as identifiers for biological taxa: their context and definition are required for accurate data integration (2005)
Presentation / Conference Contribution
Kennedy, J., Kukla, R., & Paterson, T. (2005, July). Scientific names are ambiguous as identifiers for biological taxa: their context and definition are required for accurate data integration. Presented at Second International Workshop, DILS 2005, San Diego, CA, USA

Biologists use scientific names to label the organisms described in
their data; however, these names are not unique identifiers for taxonomic entities.
Alternative taxonomic classifications may apply the same name, associated
with alternative defi... Read More about Scientific names are ambiguous as identifiers for biological taxa: their context and definition are required for accurate data integration.

A comparison of video and infrared based tracking of pedestrian movements. (2005)
Presentation / Conference Contribution
Kerridge, J., Kukla, R., Willis, A., Armitage, A., Binnie, D., & Lei, L. (2003, October). A comparison of video and infrared based tracking of pedestrian movements. Presented at Traffic and Granular Flow '03

We provide a comparison of the relative merits of video and infrared based methods for collecting pedestrian movements from the real world and also from experimental environments. We describe the underlying technological basis of both methods and the... Read More about A comparison of video and infrared based tracking of pedestrian movements..

Human movement behaviour in urban spaces: Implications for the design and modelling of effective pedestrian environments. (2004)
Journal Article
Willis, A., Gjersoe, N., Havard, C., Kerridge, J., & Kukla, R. (2004). Human movement behaviour in urban spaces: Implications for the design and modelling of effective pedestrian environments. Environment and planning. B, Planning & design, 31(6), 805-828. https://doi.org/10.1068/b3060

Despite a burgeoning research effort directed at the design and modelling of effective urban spaces for pedestrians, remarkably little is known about how pedestrians actually negotiate urban spaces. This paper reports the results of a video-based obs... Read More about Human movement behaviour in urban spaces: Implications for the design and modelling of effective pedestrian environments..

PEDFLOW: development of an autonomous agent model of pedestrian flow. (2001)
Journal Article
Kukla, R., Kerridge, J., Willis, A., & Hine, J. (2001). PEDFLOW: development of an autonomous agent model of pedestrian flow. Transportation research record, 1774, 11-17. https://doi.org/10.3141/1774-02

The paper discusses the need for an autonomous agent approach for the modeling of pedestrians in urban
environments and places PEDFLOW in the context of existing models. PEDFLOW is a microscopic model
of pedestrians’ movement, where each pedestrian... Read More about PEDFLOW: development of an autonomous agent model of pedestrian flow..