Nicholas Hamm

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Babak NaimiResearcher at University of Utrecht, The NetherlandsVerified email at uu.nl
Thomas GroenAssociate Professor in Spatial ecology, University of TwenteVerified email at UTwente.nl
Alfred SteinProfessor in Spatial Statistics and Image Analysis University of TwenteVerified email at utwente.nl
Andrew SkidmoreProfessor of Spatial Environmental Resource Dynamics, ITC, University of TwenteVerified email at utwente.nl
bert toxopeusUHD Spatial ecology, Dept. of Natural Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Verified email at utwente.nl
Peter M AtkinsonDistinguished Professor and Executive Dean, Faculty of Science and Technology, Lancaster UniversityVerified email at lancaster.ac.uk
Ricardo J Soares MagalhãesProfessor of Zoonotic Disease Epidemiology and Biosecurity, School of Veterinary Science, TheVerified email at uq.edu.au
M. SchaapTNOVerified email at tno.nl
Christiaan van der TolAssociate Professor at the Univerisity of Twente, NetherlandsVerified email at utwente.nl
Nirvana MeratniaEindhoven University of TechnologyVerified email at tue.nl
V K DADHWALNational Institute of Advanced Studies (NIAS)Verified email at nias.res.in
Valentyn TolpekinICEYEVerified email at iceye.fi
Paul Havingaprofessor of Computer Science, University of Twente / TNOVerified email at utwente.nl
C JeganathanProfessor in Department of Remote Sensing, Birla Institute of Technology (BIT)Verified email at bitmesra.ac.in
Yogesh KantScientist, Indian Institute of Remote Sensing, ISRO, Dehradun, IndiaVerified email at iirs.gov.in
Vincent OdongoInternational Livestock Research InstituteVerified email at cgiar.org
Julian R. ThompsonProfessor of Physical Geography - Hydrology and Wetlands, UCLVerified email at ucl.ac.uk
Ellen-Wien Augustijnuniversity of Twente, the NetherlandsVerified email at utwente.nl
Anton VrielingUniversity of TwenteVerified email at utwente.nl
Raul Zurita-MillaUniversity of Twente. Faculty ITCVerified email at utwente.nl

Nicholas Hamm

University of Nottingham Ningbo China

Verified email at nottingham.edu.cn

Remote Sensing Spatial Statistics Uncertainty


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Where is positional uncertainty a problem for species distribution modelling? B Naimi, NAS Hamm, TA Groen, AK Skidmore, AG Toxopeus Ecography 37 (2), 191-203, 2014	1285	2014
A machine learning method to estimate PM2. 5 concentrations across China with remote sensing, meteorological and land use information G Chen, S Li, LD Knibbs, NAS Hamm, W Cao, T Li, J Guo, H Ren, ... Science of the Total Environment 636, 52-60, 2018	457	2018
Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling B Naimi, AK Skidmore, TA Groen, NAS Hamm Journal of biogeography 38 (8), 1497-1509, 2011	430	2011
Statistics-based outlier detection for wireless sensor networks Y Zhang, NAS Hamm, N Meratnia, A Stein, M Van de Voort, PJM Havinga International Journal of Geographical Information Science 26 (8), 1373-1392, 2012	198	2012
Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information G Chen, LD Knibbs, W Zhang, S Li, W Cao, J Guo, H Ren, B Wang, ... Environmental Pollution 233, 1086-1094, 2018	176	2018
Evaluating a thermal image sharpening model over a mixed agricultural landscape in India C Jeganathan, NAS Hamm, S Mukherjee, PM Atkinson, PLN Raju, ... International Journal of Applied Earth Observation and Geoinformation 13 (2 …, 2011	140	2011
Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis A Datta, S Banerjee, AO Finley, NAS Hamm, M Schaap The Annals of Applied Statistics 10 (3), 1286-1316, 2016	123	2016
The landscape epidemiology of echinococcoses AM Cadavid Restrepo, YR Yang, DP McManus, DJ Gray, P Giraudoux, ... Infectious Diseases of Poverty 5 (1), 1, 2016	114	2016
Integrating remote sensing and geospatial big data for urban land use mapping: A review J Yin, J Dong, NAS Hamm, Z Li, J Wang, H Xing, P Fu International Journal of Applied Earth Observation and Geoinformation 103 …, 2021	85	2021
Variance-based sensitivity analysis of the probability of hydrologically induced slope instability NAS Hamm, JW Hall, MG Anderson Computers & geosciences 32 (6), 803-817, 2006	66	2006
Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases NAS Hamm, RJ Soares Magalhães, ACA Clements PLoS Neglected Tropical Diseases 9 (12), e0004164, 2015	61	2015
A spatially varying coefficient model for mapping PM10 air quality at the European scale NAS Hamm, AO Finley, M Schaap, A Stein Atmospheric Environment 102, 393-405, 2015	55	2015
Land cover change during a period of extensive landscape restoration in Ningxia Hui Autonomous Region, China AMC Restrepo, YR Yang, NAS Hamm, DJ Gray, TS Barnes, GM Williams, ... Science of the total environment 598, 669-679, 2017	47	2017
Handling uncertainties in image mining for remote sensing studies A Stein, NAS Hamm, Q Ye International journal of remote sensing 30 (20), 5365-5382, 2009	47	2009
Hydrological modelling of a drained grazing marsh under agricultural land use and the simulation of restoration management scenarios DHA Al-Khudhairy, JR Thompson, H Gavin, NAS Hamm Hydrological sciences journal 44 (6), 943-971, 1999	45	1999
ELSA: Entropy-based local indicator of spatial association B Naimi, NAS Hamm, TA Groen, AK Skidmore, AG Toxopeus, ... Spatial statistics 29, 66-88, 2019	36	2019
Exploring Spatiotemporal Phenological Patterns and Trajectories Using Self-Organizing Maps R Zurita-Milla, JAE van Gijsel, NAS Hamm, PWM Augustijn, A Vrieling IEEE Transactions on Geoscience and Remote Sensing 51 (4), 1914-1921, 2013	33	2013
Geospatial mapping of soil organic carbon using regression kriging and remote sensing N Kumar, A Velmurugan, NAS Hamm, VK Dadhwal Journal of the Indian Society of Remote Sensing 46, 705-716, 2018	31	2018
Variance-based sensitivity analysis of BIOME-BGC for gross and net primary production R Raj, NAS Hamm, C van der Tol, A Stein Ecological modelling 292, 26-36, 2014	30	2014
Analysing the effect of different aggregation approaches on remotely sensed data R Raj, NAS Hamm, Y Kant International journal of remote sensing 34 (14), 4900-4916, 2013	29	2013

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