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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Visibility Engineering & Materials Science
Geographic information systems Engineering & Materials Science
Navigation Engineering & Materials Science
Location based services Engineering & Materials Science
Information systems Engineering & Materials Science
Stereo vision Engineering & Materials Science
temporal analysis Earth & Environmental Sciences
Knowledge acquisition Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2018

  • 17 Article
  • 9 Conference contribution
  • 1 Conference article

A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock

Oliver, D. M., Bartie, P., Heathwaite, A. L., Reaney, S. M., Parnell, J. A. Q. & Quilliam, R. S., Mar 2018, In : Science of the Total Environment. 616-617, p. 678-687 10 p.

Research output: Contribution to journalArticle

Open Access
File
livestock
pasture
grazing
catchment
stocking density

A dialogue based mobile virtual assistant for tourists: The SpaceBook Project

Bartie, P., Mackaness, W., Lemon, O., Dalmas, T., Chandrasekaran Janarthanam, S., Hill, R. L., Dickinson, A. & Liu, X., Jan 2018, In : Computers, Environment and Urban Systems. 67, p. 110-123 14 p.

Research output: Contribution to journalArticle

Ordnance
Mobile computing
Visibility
Mobile devices
User interfaces

Design of a decision support tool for visualising E. coli risk on agricultural land using a stakeholder-driven approach

Oliver, D. M., Bartie, P., Heathwaite, A. L., Pschetz, L. & Quilliam, R. S., Jul 2017, In : Land Use Policy. 66, p. 227-234 8 p.

Research output: Contribution to journalArticle

Open Access
File
stakeholder
agricultural land
farm
participatory approach
water industry
Open Access
File
Visibility
Sampling
Computational efficiency
Data storage equipment

Mapping the visual magnitude of popular tourist sites in Edinburgh city

Bartie, P. & Mackaness, W., 2016, In : Journal of Maps. 12, 2, p. 203-210 8 p.

Research output: Contribution to journalArticle

monument
urban planning
aid
city

Datasets

REAL corpus

Bartie, P. (Creator), Mackaness, W. (Creator), European Language Resources Association, 2016

Dataset