Paul Harris
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Citado por
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
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
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
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
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
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
A route map for successful applications of Geographically Weighted Regression
A Comber, C Brunsdon, M Charlton, G Dong, R Harris, B Lu, Y Lu, ...
Geographical Analysis 55, 155-178, 2023
Assessment of empirical algorithms for bathymetry extraction using Sentinel-2 data
G Casal, X Monteys, J Hedley, P Harris, C Cahalane, T McCarthy
International Journal of Remote Sensing 40 (8), 2855-2879, 2019
A comparison of LandSat 8, RapidEye and Pleiades products for improving empirical predictions of satellite derived bathymetry
C Cahalane, A Magee, X Monteys, G Casal, J Hanafin, P Harris
Remote Sensing of Environment 233, 2019
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
Distributions of emissions intensity for individual beef cattle reared on pasture-based production systems
GA McAuliffe, T Takahashi, R Orr, P Harris, MRF Lee
Journal for Cleaner Production 171, 1672-1680, 2018
An Extension of Geographically Weighted Regression with Flexible Bandwidths
W Yang, AS Fotheringham, P Harris
GISRUK 2012, 2012
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
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