Paul Harris
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GWmodel: an R Package for exploring Spatial Heterogeneity using Geographically Weighted Models
I Gollini, B Lu, M Charlton, C Brunsdon, P Harris
Journal of Statistical Software 63 (17), 1-50, 2015
Principal component analysis on spatial data: an overview
U Demšar, P Harris, C Brunsdon, AS Fotheringham, S McLoone
Annals of the Association of American Geographers 103 (1), 106-128, 2013
Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data
B Lu, M Charlton, P Harris, AS Fotheringham
International Journal of Geographical Information Science 28 (4), 660-681, 2014
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models
B Lu, P Harris, M Charlton, C Brunsdon
Geo-spatial Information Science 17 (2), 85-101, 2014
Geographically weighted principal components analysis
P Harris, C Brunsdon, M Charlton
International Journal of Geographical Information Science 25 (10), 1717-1736, 2011
The use of geographically weighted regression for spatial prediction: an evaluation of models using simulated data sets
P Harris, AS Fotheringham, R Crespo, M Charlton
Mathematical Geosciences 42, 657-680, 2010
Sediment source fingerprinting: benchmarking recent outputs, remaining challenges and emerging themes
A Collins, M Blackwell, P Boeckx, C Chivers, M Emelko, O Evrard, I Foster, ...
Journal of Soils and Sediments 20, 4160-4193, 2020
Robust geographically weighted regression: A technique for quantifying spatial relationships between freshwater acidification critical loads and catchment attributes
P Harris, AS Fotheringham, S Juggins
Annals of the Association of American Geographers 100 (2), 286-306, 2010
Quantifying the spatio-temporal drivers of planned vegetation restoration on ecosystem services at a large regional scale
Y Liu, Y Lü, B Fu, P Harris, L Wu
Science of the Total Environment 650, 1029-1040, 2019
Geographically weighted regression with parameter-specific distance metrics
B Lu, M Charlton, C Brunsdon, P Harris
International Journal of Geographical Information Science 31 (5), 982-998, 2017
Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects
Y Ren, Y Lü, A Comber, B Fu, P Harris, L Wu
Earth-Science Reviews 190, 398-415, 2019
Spatial Prediction of Coastal Bathymetry based on Multispectral Satellite Imagery and Multibeam data
X Monteys, P Harris, S Caloca, C Cahalane
Remote Sensing 7, 13782-13806, 2015
The North Wyke Farm Platform: effect of temperate grassland farming systems on soil moisture contents, runoff and associated water quality dynamics
R Orr, P Murray, C Eyles, M Blackwell, L Cardenas, A Collins, J Dungait, ...
European Journal of Soil Science 67, 374-385, 2016
Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor
P Harris, C Brunsdon, AS Fotheringham
Stochastic environmental Research and Risk assessment 25, 123-138, 2011
Enhancements to a Geographically Weighted Principal Component Analysis in the Context of an Application to an Environmental Data Set
P Harris, A Clarke, S Juggins, C Brunsdon, M Charlton
Geographical Analysis 47, 146-172, 2015
Moving window kriging with geographically weighted variograms
P Harris, M Charlton, S Fotheringham
Stochastic Environmental Research and Risk Assessment 24, 1193-1209, 2010
An Extension of Geographically Weighted Regression with Flexible Bandwidths
W Yang, AS Fotheringham, P Harris
GISRUK 2012, 2012
The importance of scale in spatially varying coefficient modeling
D Murakami, B Lu, P Harris, C Brunsdon, M Charlton, T Nakaya, ...
Annals of the Association of American Geographers 109 (1), 50-70, 2019
Living with Collinearity in Local Regression Models
C Brunsdon, M Charlton, P Harris
Proceedings of the Tenth International Symposium on Spatial Accuracy …, 2012
The Minkowski approach for choosing the distance metric in geographically weighted regression
B Lu, M Charlton, C Brunsdon, P Harris
International Journal of Geographical Information Science 30 (2), 351-368, 2016
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