| 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 | 610 | 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 | 519 | 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 | 432 | 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 | 309 | 2014 |
| Geographically weighted principal components analysis P Harris, C Brunsdon, M Charlton International Journal of Geographical Information Science 25 (10), 1717-1736, 2011 | 252 | 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 | 224 | 2010 |
| 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 | 198 | 2019 |
| 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 | 190 | 2020 |
| 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 | 146 | 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 | 132 | 2017 |
| 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 | 120 | 2023 |
| 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 | 110 | 2010 |
| 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 | 105 | 2015 |
| 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 | 104 | 2019 |
| 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 | 104 | 2019 |
| 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 | 104 | 2016 |
| An Extension of Geographically Weighted Regression with Flexible Bandwidths W Yang, AS Fotheringham, P Harris GISRUK 2012, 2012 | 88 | 2012 |
| 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 | 88 | 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 | 86 | 2015 |
| 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 | 85 | 2018 |
Chris BrunsdonNational University of Ireland, MaynoothEmail verificata su nuim.ie