Rothamsted Research

where knowledge grows

harrisp

Paul Harris

Role(s):
Eco-Informatics Scientist
North Wyke
North Wyke
Summary:

 

Research themes

Ø Statistical and data mining methods for quality control of large, multivariate, spatio-temporal environmental data sets

Ø Spatial/spatio-temporal statistics; geostatistics; geographically weighted (GW) models

Ø Methodological advances in robust and non-robust spatially-varying parameter models

Ø Development of R statistical packages for above themes (see GWmodel on CRAN)

Ø Analyses of agricultural, marine, ecological, environmental, socio-economic and population data

Ø Statistical modelling of remote sensing, crowd-sourced, land cover and land use data

Ø Visualisation

 

Google Scholar

http://scholar.google.ca/citations?user=27k9EvMAAAAJ&hl=en

Phone:
+44 (0) 1837 883 500 ext: +44 1837 883535
Location:
Rothamsted Research - North Wyke, Okehampton, Devon, EX20 2SB

 

Continental scale:

Comber A, Fonte C, Foody G, Fritz S, Harris P, Olteanu-Raimond A, See L (2016) Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information. Geoinformatica 20(3): 503-527

 

National scale:

Comber A, Brunsdon C, Charlton M, Harris P (2017) Geographically weighted correspondence matrices for local change analyses and error reporting: mapping the spatial distribution of errors and change. Accepted Remote Sensing Letters

Harris P, Clarke A, Juggins S, Brunsdon C, Charlton M (2015) Enhancements to a geographically weighted principal components analysis in the context of an application to an environmental data set.  Geographical Analysis 47: 146-172

Harris P, Clarke A, Juggins S, Brunsdon C, Charlton M (2014) Geographically weighted methods and their use in network re-designs for environmental monitoring.  Stochastic Environmental Research and Risk Assessment 28: 1869-1887

Harris P, Brunsdon C, Charlton M, Juggins S, Clarke A (2014) Multivariate spatial outlier detection using robust geographically weighted methods.  Mathematical Geosciences 46(1) 1-31

Harris P, Brunsdon C, Charlton M (2013) The comap as a diagnostic tool for nonstationary kriging models.  International Journal of Geographical Information Science 27(3): 511-541

Demšar U, Harris P, Brunsdon C, Fotheringham AS, McLoone S (2013) Principal components analysis on spatial data: an overview. Annals of the Association of American Geographers 103(1): 106-128

Demšar U, Harris P (2011) Visual comparison of moving-window kriging models.  Cartographica 46(4): 211-226

Harris P, Juggins S (2011) Estimating freshwater acidification critical load exceedance data for Great Britain using space-varying relationship models. Mathematical Geosciences 43: 265-292

Harris P, Brunsdon C, Fotheringham AS (2011) Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor. Stochastic Environmental Research and Risk Assessment 25:123-138

Harris P, Charlton M, Fotheringham AS (2010) Moving window kriging with geographically weighted variograms.  Stochastic Environmental Research and Risk Assessment 24:1193-1209

Harris P, Fotheringham AS, Juggins S (2010) Robust geographically weighed regression: a technique for quantifying spatial relationships between freshwater acidification critical loads and catchment attributes. Annals of the Association of American Geographers 100(2): 286-306

Harris P, Brunsdon C (2010) Exploring spatial variation and spatial relationships in a freshwater acidification critical load data set for Great Britain using geographically weighted summary statistics. Computers & Geosciences 36:54-70

 

Regional scale:

Comber A, Harris P, Tsutsumida N (2016) Improving land cover classification using texture variables outputted from a geographically weighted principal components analysis. ISPRS Journal of Photogrammetry and Remote Sensing 119: 347-360

 

City scale:

Lu B, Charlton M, Brunsdon C, Harris P (2017) Geographicaly weighted regression with parameter-specific distance metrics. Accepted International Journal of Geographical Information Science

Gollini I, Lu B, Charlton M, Brunsdon C, Harris P (2015) GWmodel: an R Package for exploring Spatial Heterogeneity using Geographically Weighted Models.  Journal of Statistical Software 63(17): 1-50

Lu B, Harris P, Charlton M, Brunsdon C (2014) The GWmodel R Package: further topics for exploring Spatial Heterogeneity using Geographically Weighted Models. Geo-spatial Information Science 85(17): 85-101

Lu B, Charlton M, Harris P, Fotheringham AS (2014) Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data. International Journal of Geographical Information Science 28(4): 660-681

Glennon M, Harris P, Finne T, Scanlon R, O'Connor P (2014) Geochemical baseline for heavy metals in topsoils in Dublin, Ireland: spatial correlation with historic industry and implications for human health. Environmental Geochemistry and Health 36(2): 235-254

Harris P, Brunsdon C, Charlton M (2011) Geographically weighted principal components analysis.  International Journal of Geographical Information Science 25 (10):1717-1736

Harris P, Lindley S, Gallagher M, Agius R (2009) Identification and verification of ultrafine particle (UFP) affinity zones in urban neighbourhoods: sample design and data pre-processing. Environmental Health 8 (Suppl 1):S5 doi:10.1186/1476-069X-8-S1-S5

 

Farm scale:

Orr R, Murray P, Eyles C, Blackwell M, Cardenas L, Collins A, Dungait J, Goulding K, Griffith B, Gurr S, Harris P, Hawkins J, Misselbrook T, Rawlings C, Shepherd A, Sint H, Tozer K, Wu L, Lee M (2016) The North Wyke Farm Platform: effect of temperate grassland farming systems on soil moisture contents, surface run-off and associated water quality dynamics. European Journal of Soil Science 67: 374-360

 

Field scale:

Granger S, Harris P, Peukert S, Guo R, Tamurini F, Blackwell M, Howden N, McGrath S (2017) Phosphate stable isotope variability within a temperate agricultural soil. Geoderma 285: 64-75

Radu T, Gallagher S, Byrne B, Harris P, Coveney S, McCarron S, McCarthy T, Diamond D (2013) Portable XRF as a rapid technique for surveying elemental distributions in soil. Spectroscopy Letters 46(7): 516-526

 

Coastal studies: 

Monteys X, Harris P, Caloca S, Cahalane C (2015) Spatial Predictions of Coastal Bathymetry based on Multispectral Satellite Imagery and Multibeam data. Remote Sensing 7: 13782-13806

 

Simulation studies:

Lu B, Charlton M, Brunsdon C, Harris P (2016) The Minkowski approach for choosing the distance metric in Geographically Weighted Regression. International Journal of Geographical Information Science 30(2): 351-368

Harris P, Fotheringham AS, Crespo R, Charlton M (2010) The use of geographically weighted regression for spatial prediction: an evaluation of models using simulated data sets. Mathematical Geosciences 42:657-680