Christopher D. Lloyd
Orcid: 0000-0003-0575-7793
According to our database1,
Christopher D. Lloyd
authored at least 18 papers
between 2002 and 2019.
Collaborative distances:
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Bibliography
2019
Thematic resolution influence in spatial analysis. An application to Land Use Cover Change (LUCC) modelling calibration.
Comput. Environ. Urban Syst., 2019
2017
Comput. Environ. Urban Syst., 2017
2016
Int. J. Geogr. Inf. Sci., 2016
2014
Surface models and the spatial structure of population variables: Exploring smoothing effects using Northern Ireland grid square data.
Comput. Environ. Urban Syst., 2014
2013
Surface modeling: high accuracy and high speed methods, by Tian-Xiang YueBoca Raton, CRC Press, 691 pp., £89.00, $139.95, €114.99, 2011, ISBN 978-1-4398-1758-2.
Int. J. Geogr. Inf. Sci., 2013
Assessing modern ground survey methods and airborne laser scanning for digital terrain modelling: A case study from the Lake District, England.
Comput. Geosci., 2013
Increasing the accuracy of nitrogen dioxide (NO<sub>2</sub>) pollution mapping using geographically weighted regression (GWR) and geostatistics.
Int. J. Appl. Earth Obs. Geoinformation, 2013
2012
Analysing the spatial scale of population concentrations by religion in Northern Ireland using global and local variograms.
Int. J. Geogr. Inf. Sci., 2012
Comput. Geosci., 2012
Ann. GIS, 2012
2010
Analysing population characteristics using geographically weighted principal components analysis: A case study of Northern Ireland in 2001.
Comput. Environ. Urban Syst., 2010
Exploring population spatial concentrations in Northern Ireland by community background and other characteristics: an application of geographically weighted spatial statistics.
Int. J. Geogr. Inf. Sci., 2010
2009
Local Models for the Analysis of Spatially Varying Relationships in a Lignite Deposit.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2007
Non-stationary variogram models for geostatistical sampling optimisation: An empirical investigation using elevation data.
Comput. Geosci., 2007
Int. J. Appl. Earth Obs. Geoinformation, 2007
2006
Int. J. Geogr. Inf. Sci., 2006
2002
Trans. GIS, 2002