Nicholas Hamm
Nicholas Hamm
Потвърден имейл адрес: nottingham.edu.cn
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
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
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
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
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
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
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
The landscape epidemiology of echinococcoses
AM Cadavid Restrepo, YR Yang, DP McManus, DJ Gray, P Giraudoux, ...
Infectious Diseases of Poverty 5 (1), 1, 2016
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
Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases
NAS Hamm, RJ Soares Magalhães, ACA Clements
PLoS Neglected Tropical Diseases 9 (12), e0004164, 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
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
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
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
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
ELSA: Entropy-based local indicator of spatial association
B Naimi, NAS Hamm, TA Groen, AK Skidmore, AG Toxopeus, ...
Spatial statistics 29, 66-88, 2019
A per-pixel, non-stationary mixed model for empirical line atmospheric correction in remote sensing
NAS Hamm, PM Atkinson, EJ Milton
Remote sensing of environment 124, 666-678, 2012
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
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
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
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