Nicholas Hamm 地理科学副教授
地理科学系 / 理工学院



联系方式 办公室
理工楼439

校园
University of Nottingham Ningbo China

地址
199 Taikang East Road, Ningbo, 315100, China

电话
+86 (0) 574 8818 0000 Extension 8980

邮箱
nicholas.hamm@nottingham.edu.cn



学历
BSc (Hons)
MRes (Lond)
PhD (Soton)

个人简介
Dr Hamm graduated with BSc and MRes degrees from University College London and followed this with a PhD at the University of Southampton. He has held academic and research appointments at the University of Twente (The Netherlands), University of Southampton (UK) and the University of Bristol (UK). He has also held visiting appointments at the University of Queensland (Australia) and RMIT University (Australia).
Expertise SummaryDr Hamm is a geoinformation scientist with specific interests in uncertainty, spatial data quality and the integration of heterogeneous datasets. He also has a background in geography and environmental science. He has particular expertise in geostatistical modelling of spatial and spatial-temporal data and the evaluation of uncertainty in environmental models and geographic data. He works with a range of environmental datasets including those from airborne and spaceborne remote sensing, in situ environmental sensors and environmental models. Applications include environmental monitoring (e.g., air quality, land cover), environmental modelling (e.g., species distribution modelling, biogeochemical cycles) and geo-health (e.g., neglected tropical diseases).


教学
I teach undergraduate courses relating to geoinformation science, remote sensing and environmental analysis. I have taught postgraduate courses in spatial data quality, geostatistics and remote sensing.


研究方向
Geoinformation science
Geostatistics and spatial-temporal statistics
Novel geospatial datasets
Earth observation, remote sensingUncertainty in geospatial data and analysis


发表文章
For further details seeGoogle ScholarandOrcid.
Refereed Journal Papers (ISI)Cadavid Restrepo, A. M., Y. R. Yang, D. P. McManus, D. J. Gray, T. S. Barnes, G. M. Williams, R. J. Soares Magalhães,N. A. S. Hammand A. C. A. Clements (2018). Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China,Parasites & Vectors,11, 108. doi: 10.1186/s13071-018-2693-z
Chen, G., L. D. Knibbs, W. Zhang, S. Li, W. Cao, J. Guo, H. Ren, B. Wang, H. Wang, G. M. Williams,N. A. S. Hamm, and Y. Guo. (2018) Estimating spatial and temporal PM1 concentrations in China with satellite remote sensing, meteorology, and land use information,Environmental Pollution, 233, 1086-1094. doi: 10.1016/j.envpol.2017.10.011
Raj, R., C. van der Tol,N. A. S. Hammand A. Stein (2018) Bayesian Integration of Flux Tower Data into Process-Based Simulator for Quantifying Uncertainty in Simulated Output,Geoscientific Model Development Discussions, 11, 83-101. doi: 10.5194/gmd-11-83-2018
Mukherjee, S., Srivastav, S.K., Gupta, P.K.,Hamm, N.A.S.and Tolpekin, V.A.(2017)An Algorithm for Inter-calibration of Time-Series DMSP/OLS Night-Time Light Images.Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 87 (4): 7210. doi: 10.1007/s40010-017-0444-8
Cadavid Restrepo, A. M., Y. R. Yang,N. A. S. Hamm, D. J. Gray, T. S. Barnes, G. M. Williams, R. J. Soares Magalhães, D. P.McManus, D. Guo & A. C. A. Clements (2017) Land cover change during a period of extensive landscape restoration in Ningxia Hui Autonomous Region, China (1980-2015),Science of the Total Environment, 598, 669-679. doi: 10.1016/j.scitotenv.2017.04.124
Araujo Navas, A. L.,N. A. S. Hamm, R. J. Soares Magalhães & A. Stein (2016) Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: Systematic Review and Critical Appraisal of Evidence,PLoS Neglected Tropical Diseases, 10(12), e**. doi: 10.1371/journal.pntd.**
Datta, A., S. Banerjee, A. O. Finley,N. A. S. Hammand M. Schaap (2016). Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis.The Annals of Applied Statistics10(3): 1286-1316. doi: 10.1214/16-AOAS931
Raj, R.,N. A. S. Hamm, C. van der Tol and A. Stein (2016). Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements.Biogeosciences13: 1409–1422. doi: 10.5194/bg-13-1409-2016
Cadavid Restrepo, A. M., Y. R. Yang, D. P. McManus, D. J. Gray, P. Giraudoux, T. S. Barnes, G. M. Williams, R. J. Soares Magalhães,N. A. S. Hammand A. C. A. Clements (2016). The landscape epidemiology of echinococcoses.Infectious Diseases of Poverty5: 13. doi: 10.1186/s40249-016-0109-x
Hamm, N. A. S., A. O. Finley, M. Schaap and A. Stein (2015). A spatially varying coefficient model for mapping air quality at the European scale.Atmospheric Environment102: 393-405. doi: 10.1016/j.atmosenv.2014.11.043
Hamm, N. A. S., R. J. Soares Magalhães and A. C. A. Clements (2015). Earth Observation, Spatial Data Quality and Neglected Tropical Disesases.PLoS Neglected Tropical Diseases9(12): e**. doi: 10.1371/journal.pntd.**
Naimi, B.,N. A. S. Hamm, T. A. Groen, A. K. Skidmore and A. G. Toxopeus (2014). Where is positional uncertainty a problem for species distribution modelling?Ecography37(2): 191-203. doi: 10.1111/j.1600-0587.2013.00205.x
Raj, R.,N. A. S. Hamm, C. van der Tol and A. Stein (2014). Variance-based sensitivity analysis of BIOME-BGC for gross and net primary production.Ecological Modelling292: 26-36. doi: 10.1016/j.ecolmodel.2014.08.012
Odongo, V. O.,N. A. S. Hammand E. J. Milton (2014). Spatio-Temporal Assessment of Tuz Gölü, Turkey as a Potential Radiometric Vicarious Calibration Site.Remote Sensing6(3): 2494-2513. doi: 10.3390/rs**
Raj, R.,N. A. S. Hammand Y. Kant (2013). Analysing the effect of different aggregation approaches on remotely sensed data.International Journal of Remote Sensing34(14): 4900-4916. doi: 10.1080/**.2013.781289
Yaseen, M.,N. A. S. Hamm, V. Tolpekin and A. Stein (2013). Anisotropic kriging to derive missing coseismic displacement values obtained from synthetic aperture radar images.Journal of Applied Remote Sensing7. doi: 10.1117/1.jrs.7.073580
Zurita-Milla, R., J. A. E. van Gijsel,N. A. S. Hamm, P. W. M. Augustijn and A. Vrieling (2013). Exploring Spatiotemporal Phenological Patterns and Trajectories Using Self-Organizing Maps.IEEE Transactions on Geoscience and Remote Sensing51(4): 1914-1921. doi: 10.1109/tgrs.2012.**
Yaseen, M.,N. A. S. Hamm, T. Woldai, V. A. Tolpekin and A. Stein (2013). Local interpolation of coseismic displacements measured by InSAR.International Journal of Applied Earth Observation and Geoinformation23: 1-17. doi: 10.1016/j.jag.2012.12.002
Hamm, N. A. S., P. M. Atkinson and E. J. Milton (2012). A per-pixel, non-stationary mixed model for empirical line atmospheric correction in remote sensing.Remote Sensing of Environment124: 666-678. doi: 10.1016/j.rse.2012.05.033
Zhang, Y.,N. A. S. Hamm, N. Meratnia, A. Stein, M. van de Voort and P. J. M. Havinga (2012). Statistics-based outlier detection for wireless sensor networks.International Journal of Geographical Information Science26(8): 1373-1392. doi: 10.1080/**.2012.654493
Naimi, B., A. K. Skidmore, T. A. Groen andN. A. S. Hamm(2011). Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling.Journal of Biogeography38(8): 1497-1509. doi: 10.1111/j.1365-2699.2011.02523.x
Jeganathan, C.,N. A. S. Hamm, S. Mukherjee, P. M. Atkinson, P. L. N. Raju and V. K. Dadhwal (2011). Evaluating a thermal image sharpening model over a mixed agricultural landscape in India.International Journal of Applied Earth Observation and Geoinformation13(2): 178-191. doi: 10.1016/j.jag.2010.11.001
Stein, A.,N. A. S. Hammand Q. Ye (2009). Handling uncertainties in image mining for remote sensing studies.International Journal of Remote Sensing30(20): 5365-5382. doi: 10.1080/0**30895
Hamm, N. A. S., J. W. Hall and M. G. Anderson (2006). Variance-based sensitivity analysis of the probability of hydrologically induced slope instability.Computers & Geosciences32(6): 803-817. doi: 10.1016/j.cageo.2005.10.007
Al-Khudhairy, D. H. A., J. R. Thompson, H. Gavin andN. A. S. Hamm(1999). Hydrological modelling of a drained grazing marsh under agricultural land use and the simulation of restoration management scenarios.Hydrological Sciences Journal-Journal Des Sciences Hydrologiques44(6): 943-971. doi: 10.1080/92291
Book Chapters
Hamm, N. A. S., M. van Lochem, G. Hoek, R. Otjes, S. van der Sterren & H. Verhoeven (2016) The Invisible Made Visible: Science and Technology." InAireas: Sustainocracy for a Healthy City: The Invisible Made Visible Phase 1, edited by Jean-Paul Close, 51-77, Dordrecht, Springer. DOI: 10.1007/978-3-319-26940-5_3.
Hamm, N., P. M. Atkinson & E. J. Milton. 2004. On the effect of positional uncertainty in field measurements on the atmospheric correction of remotely sensed imagery. In X. Sanchez Vila, J. Carrera & J. J. Gomez Hernandez(eds.)GeoEnv IV - Geostatistics for Environmental Applications,Kluwer Academic Publishers, Dordrecht, 91-102.