I am a geographer with an initial PhD (Edinburgh 2000) career focus on the use of spatial analysis techniques in environmental modelling within an agricultural and climatic domain. Following a period as a Research Fellow on the NERC funded InterMet project I moved to take up a Lectureship in GIScience at Leicester in 2022. I am currently the Academic Lead for Geography degrees within the School of Geography Geology and the Environment. My teaching ranges from Critical Digital Geographies and Geovisualisation to core Undergraduate modules in GIS and beyond. I am a Senior Fellow of the HEA and a Fellow of the Royal Geographical Society.
ESRC-Quantile, Supporting undergraduate teaching in quantitative geography: making the connections between schools, universities and the workplace (co-PI, with Harris et al)
EPSRC-India BURD, (co-PI, with Clarke, Phillips et al.)
Active engagement with successful AHRC Research Network bid â€œFaith communitiesâ€ (with Young, King, Golding, Oâ€™Sullivan)
ESRC RELU 4, Adaptations to Rural Communities through Living with Climate Change (co-PI, with Phillips et al.)
ESRC New Urbanisms, New Citizens GPS research sub-contract
Geography Undergraduates INtegrating NEo-geographies and Social Science (GUINESS), funded by the University of Leicester New teaching Initiative Fund (project co-PI)
Supporting experiential field-based learning: Interfaces and archives (GeoPods), funded by the University of Leicester Teaching Enhancement Fund (project PI)
HEFCE Spatial Literacy in Teaching and Learning (SPLINT) CETL, funded by HEFCE (project co-PI)
ESRC Grid enabled spatial regression models (with application to deprivation indices) ESRC National Centre for e-social science small grant (project co-PI).
Ozigis, MS, Kaduk, JD, Jarvis, CH (2019) Mapping terrestrial oil spill impact using machine learning random forest and Landsat 8 OLI imagery: a case site within the Niger Delta region of Nigeria. Environmental Science and Pollution Research 26 (4), 3621-3635.
Ozigis, MS, Kaduk, JD, Jarvis, CH, da Conceição Bispo, P., Balzter, H. (2020) Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods. Environmental Pollution 256, 113360.
Jarvis, CH, Kraftl, P. Dickie, J. (2017) (Re) Connecting spatial literacy with children's geographies: GPS, Google Earth and children's everyday lives. Geoforum 81, 22-31.
Harris, R., Fitzpatrick, K., Souch, C., Brunsdon, C., Jarvis, C.H., Tate, N., Singleton, A., Orford, S., Keylock, C. (2014) Geographers count: a report on quantitative methods in geography. Enhancing learning in the Social Sciences 6 (2)
Harris, R., Jarvis, C. (2014) Statistics for Geography and Environmental Science. Routledge: London.
Jarvis, C.H., Dickie, J. (2013) Going mobile: Perspectives on aligning learning and teaching in Geography. Journal of Geography in Higher Education, 37(1), 76-91.
Priestnall, G., Jarvis, C., Burton, A., Smith, M., Mount, N. (2012) Virtual Geographic Environments. In Unwin, D., Foot, K., Tate, N.J., DiBiase, D. (Eds.) Teaching Geographic Information Science and Technology in Higher Education, Wiley: New York, p257-288.
Jarvis, C.H., Dickie, J. (2010) Podcasts in support of experiential field learning. Journal of Geography in Higher Education, 34, 173-186.
Li, J., Jarvis, C.H., Brunsdon, C. (2010) The use of immersive real-time 3D computer graphics for visualisation of Dilution of Precision (DOP) in virtual environments. International Journal of Geographical Information Science, 24, 591-605
Alexander, C., Smith-Voysey, S., Jarvis, C., Tansey, K. (2009) Integration of OS MasterMap with elevation data from LiDAR to classify roof structure and visualise buildings. Computers, Environment & Urban Systems 33, 285-292.
Jarvis, C.H., Stuart, N. and Cooper, W. (2003) Infometric and statistical diagnostics to provide artificially-intelligent support for spatial analysis: the example of interpolation, International Journal of Geographical Information Science, 17, 495-516.
Jarvis, C.H. and Stuart, N., (2001) Uncertainties in modelling with time series data: estimating the risk of crop pests throughout the year. Transactions in GIS 5, 327-343.
Jarvis, C.H. and Stuart, N. (2001) A comparison between strategies for interpolating maximum and minimum daily air temperatures: a. The selection of 'guiding' topographic and land cover variables. Journal of Applied Meteorology 40, 1060-1074.
Jarvis, C.H. and Stuart, N. (2001) A comparison between strategies for interpolating maximum and minimum daily air temperatures: b. The interaction between number of guiding variables and the type of interpolation method. Journal of Applied Meteorology 40, 1075-1084.
Rigol, J.P., Jarvis, C.H. and Stuart, N. (2001) Artificial neural networks as a tool for spatial interpolation. International Journal of Geographical Information Science 15, 323-344.
Baker, R.H.A., Sansford, C.E., Jarvis, C.H., Cannon, R.J.C., MacLeod, A., Walters K.F.A. (2000) The Role of Climatic Mapping in Predicting the Potential Distribution of Non-Indigenous Pests under Current and Future Climates. Agriculture, Ecosystems and Environment 72,1-15.
BA & BSc Geography: Geographical Information Science, Critical Digital Geographies, Dissertation supervision, Berlin field course
MSc GIS: Geovisualisation, Research Design, Geospatial Analytics, Dissertation supervision
Fellow of the Royal Geographical Society
University of Leicester Distinguished Teaching Fellow Award (2010)