Colin J Mcclean

Biographic Data

ID1579970
NAMEColin J Mcclean
GIVEN NAMESColin J
FAMILY NAMEMcclean
SIGNATUREMCCLEAN C J
AFFILIATIONSUniversity of York
ORCID0000-0002-5457-4355
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS2
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1996
LATEST PUBLICATION YEAR2025
H-INDEX1

  • Do green and blue spaces in the residential neighbourhood have an effect on multimorbidity? A comparative, observational study of 48,589 UK Biobank participants

    Open AccessMariya Geneshka, Colin J Mcclean et al.ARTICLEWellbeing Space and Society2025

    Few studies have comparatively assessed the impact of different urban green and blue spaces on multimorbidity and chronic health. • Urban inland blue spaces reduced the odds of having complex multimorbidity. • Total amount of greenery increased the odds of having multimorbidity. • Parks, street trees, gardens and proximity to coast had no effect on multimorbidity. • It is not exposure to green but exposure to blue space that reduces the risk of m…

  • The importance of ecological quality of public green and blue spaces for subjective well-being

    Open AccessSarah Knight, Sarah J Knight et al.ARTICLELandscape and Urban Planning2022

    There is now considerable evidence that the natural environment provides health and well-being benefits in urban environments. However, little is understood about the role of ecological quality in maximising well-being gains. We examine the relationship between the accessibility of public natural spaces of high ecological quality and two measures of subjective well-being for adults, using the British Household Panel Survey (BHPS), a large, longit…

  • Collinearity

    Open AccessCarsten F Dormann, Jane Elith et al.ARTICLEEcography2013

    Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation because it inflates the variance of regression parameters and hence potentially leads to the wrong identification of relevant predictors in a statistical model. Collinearity is a severe problem when a model is trained on data from one …

  • Modelling and mapping spatial heterogeneity in forest recreation services

    Mette Termansen, Colin J Mcclean et al.ARTICLEEcological Economics2013

  • Recreational Site Choice Modelling Using High-Resolution Spatial Data

    Mette Termansen, Colin J Mcclean et al.ARTICLEEnvironment and Planning A…2004Cited by: 1

    Geographic information systems (GIS) offer attractive tools for modelling recreational behaviour. In this paper GIS is combined with a discrete choice modelling approach to investigate the importance of landscape attributes for determining forest recreational choices. A new large Danish national dataset (28 947 recreational trips) is used in conjunction with an area information system and information on other site attributes to estimate a recreat…

  • Assessing the Floristic Diversity of Hedge Networks

    Andrew Cherrill, Charlotte Mercer et al.ARTICLELandscape Research2001Cited by: 1References: 6

    The type of land cover adjacent to hedges has been shown to influence the species composition of the ground flora. An assessment of the contribution of hedge networks to the biodiversity of landscapes therefore requires information on the relative lengths of hedge associated with different land covers. In the River Tyne catchment, Northern England, the association between hedges and land cover types differed between four landscapes. Overall, the …

  • Remote sensing and GIS in ecosystem management

    Open AccessColin J Mcclean, Colin McCleanARTICLELand Use Policy1996