Research Profile

Paul Holloway

Biography

I joined UCC in 2017 as a lecturer in Geographic Information Systems. My research and teaching interests include using GIS and spatial analysis to address a suite of ecological, environmental, and geographical issues. 

I previously held a post-doc in the Department of Computer Science at the University of York, where I was working on an Innovate UK / BBSRC funded project "Crowd-sourced prediction of plant pest and disease occurrence using Mobile Apps". I completed my doctorate in the Department of Geography and the Environment at the University of Texas at Austin, where my primary research addressed the long-standing issue of how to incorporate movement at different spatial and temporal scales into species distribution models. I was also the research assistant on a National Science Foundation (NSF) funded project investigating the effects of spatial structure, sampling, and scale on simulated data. My research is widely published, and has been recognised with national awards. I have also lectured on a variety of topics across different institutions. 

I welcome applications from prospective graduate students interested in undertaking research in Geographic Information Systems, GeoComputation, Movement Analysis, and Species Distribution Modelling.

I am currently advertising for a funded PhD position through the Teagasc Walsh Fellowship. Details of funding can be found here: https://www.teagasc.ie/media/website/about/walsh-fellowships/2018034_Web_Advert.pdf

Research Interests


                         
I'm interested in a wide variety of research, particularly where geographic information science (GIS), geocomputation, and spatial analysis can be used to solve geographical, ecological, and environmental problems. The need to better understand the current and future distributions of species in order to mitigate against the impacts of climate change and urbanization is imperative. My research has addressed long-standing issues pertaining to how best to incorporate movement at different spatial and temporal extents into species distribution models. I have developed a framework in order to assess the accuracy and uncertainty of dispersal models used when projecting into future climate change scenarios. Furthermore, I have developed agent-based models that simulate fine-scale daily movements of individuals to provide more robust estimates of current range extents, and how these may change under future conditions. I have also been part of the research team analyzing data from The Big Bug Hunt, a citizen science scheme where people send in reports of garden/allotment bugs. As part of this project, I explored how machine learning and artificial intelligence could be used to develop predictive models in order to allow gardeners to take preventative action against potential pest spread. The use of volunteered geographic information (VGI) and machine learning continue to be active avenues of research, as does methodological advances in species distribution modelling and the analysis of movement data. 


Research Grants

 ProjectFunding
Body
Start DateEnd DateAward
PhenoClimate Impact of Climate Change on Phenology of Ireland.Environmental Protection Agency01-MAR-1928-FEB-21€226,028.00
Digital Shift: Deploying and Evaluating Smartphone Apps for Research Methodology Training in GeographyOther: Not Listed01-JUN-1831-MAY-19€1,062.72
Agri-Enviromental Big Data Analytics Via WebGIG: Geospatial Data Obfuscation and Modelling of Crop Growth and Productivity.Teagasc01-OCT-1830-SEP-22€88,000.00

Publications

Peer Reviewed Journals

 YearPublication
(2019)'Aggregating the conceptualisation of movement data better captures real world and simulated animal-environment relationships'
Holloway, P. (2019) 'Aggregating the conceptualisation of movement data better captures real world and simulated animal-environment relationships'. International Journal of Geographical Information Science, [Details]
(2019)'An assessment of multiple drivers determining woody species composition and structure: A case study from the Kalahari, Botswana'
Meyer T.;Holloway P.;Christiansen T.;Miller J.;D'Odorico P.;Okin G. (2019) 'An assessment of multiple drivers determining woody species composition and structure: A case study from the Kalahari, Botswana'. Land, 8 (8) [DOI] [Details]
(2018)'Simulating movement-related resource dynamics to improve species distribution models: a case study with oilbirds in northern South America'
Holloway, P. (2018) 'Simulating movement-related resource dynamics to improve species distribution models: a case study with oilbirds in northern South America'. Professional Geographer, 70 (4):528-540 [Details]
(2018)'Dynamic selection of environmental variables to improve the prediction of aphid phenology: A machine learning approach'
Holloway, P., Kudenko, D., and Bell, J.R. (2018) 'Dynamic selection of environmental variables to improve the prediction of aphid phenology: A machine learning approach'. Ecological Indicators, 88 :512-521   [DOI] [Full Text] [Details]
(2017)'A quantitative synthesis of how movement has been incorporated within species distribution modelling'
Holloway, P., and Miller, J.A. (2017) 'A quantitative synthesis of how movement has been incorporated within species distribution modelling'. Ecological Modelling, 356 :91-103 [Details]
(2016)'Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections?'
Holloway, P., Miller, J.A., and Gillings, S (2016) 'Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections?'. International Journal of Geographical Information Science, 30 (10):2050-2074 [Details]
(2015)'Exploring spatial scale, autocorrelation and nonstationarity of bird species richness patterns'
Holloway, Paul; Miller, Jennifer A. (2015) 'Exploring spatial scale, autocorrelation and nonstationarity of bird species richness patterns'. ISPRS International Journal of Geo-Information, 4 (2):783-798   [DOI] [Details]
(2015)'Incorporating movement in species distribution models'
Miller, J.A. and Holloway, P. (2015) 'Incorporating movement in species distribution models'. Progress in Physical Geography, 39 (6):837-849 [Details]
(2014)'Uncertainty analysis of step-selection functions: The effect of model parameters on inferences about the relationship between animal movement and the environment'
Holloway, P., and Miller, J.A. (2014) 'Uncertainty analysis of step-selection functions: The effect of model parameters on inferences about the relationship between animal movement and the environment'. Lecture Notes In Computer Science, 8728 :48-63 [Details]

Book Chapters

 YearPublication
(2018)'Analysis and Modeling of Movement'
Holloway, P., and Miller, J.A. (2018) 'Analysis and Modeling of Movement' In: Huang, B., Cova, T.J., and Tsou, M.H (eds). Comprehensive Geographic Information Systems. Oxford, UK: Elsevier. [Details]
(2017)'Niche Theory and Models'
Miller, J.A., and Holloway, P. (2017) 'Niche Theory and Models' In: Richardson, D., Castree, N., Goodchild, M.M., Kobayashi, A., Liu, W., and Marston, R.A (eds). The International Encyclopaedia of Geography: People, the Earth, Environment, and Technology. Chichester, UK: John Wiley and Sons, Ltd. [Details]

Professional Activities

Honours and Awards

 YearTitleAwarding Body
2016Best Paper by an Early Career Researcher GIS Research in the UK (GISRUK)
20152nd Place, Best Conference Paper GeoComputation
20151st Place AAG GIS Specialty Group Honors Student Paper Competition Geographic Information Science and Systems Specialty Group, American Association of Geographers
20141st Place, John Odland Student Paper Award Spatial Analysis and Modelling Specialty Group, American Association of Geographers

Conference Contributions

 YearPublication
(2019)ESA Living Planet Symposium,
Scarrot, R.G., Cawkwell, F., Jessopp, M., O’Rourke, E., Cusack, C., & Holloway, P. (2019) Opportunities for multi-variate perspectives in characterising hyper-temporal ocean-surface heterogeneity. [Poster Presentation], ESA Living Planet Symposium, Milan, Italy . [Details]
(2018)GIS 2018 Conference IRLOGI,
Holloway, P. (2018) From Static to Dynamic: Spatiotemporal Analysis in GIScience. [Oral Presentation], GIS 2018 Conference IRLOGI, Dublin . [Details]
(2018)Irish Earth Observation Symposium,
Lambert, L., Cawkwell, F.C., Holloway, P. (2018) Urban Green & Blue Spaces in Cork City and their Contribution to Biodiversity. [Poster Presentation], Irish Earth Observation Symposium, Dublin . [Details]
(2018)International Statistical Ecology Conference,
Holloway, P. (2018) What is moving? How the semantic conceptualisation of movement data changes animal-environment inferences. [Peer Reviewed Abstract], International Statistical Ecology Conference, St Andrews, UK , 02-JUL-18 - 06-JUL-18. [Details]
(2018)GISRUK,
Holloway, P. (2018) Spatial Simulation to Project Dynamic Movement of Species. [Peer Reviewed Abstract], GISRUK, Leicester, UK , 17-APR-18 - 20-APR-18. [Details]
(2017)GeoComputation,
Holloway, P. (2017) Individual-Based Modelling of Species’ Dynamic Resource Use. [Peer Reviewed Abstract], GeoComputation, Leeds, UK , 04-SEP-17 - 07-SEP-17. [Details]
(2017)Annual Meeting of the AAG,
Holloway, P. (2017) Incorporating movement-related resource dynamics in species distribution models. [Oral Presentation], Annual Meeting of the AAG, Boston, MA , 05-APR-17 - 09-APR-17. [Details]
(2016)GISRUK,
Holloway, P., Miller, J.A., and Gillings, S (2016) Uncertainty Analysis of the Dispersal Models used in Species Distribution Modelling. [Peer Reviewed Abstract], GISRUK, Greenwich, UK , 30-MAR-16 - 01-APR-16. [Details]
(2015)GeoComputation,
Holloway, P., Miller, J.A., and Gillings, S (2015) Simulating the effects of migration on the uncertainty of species’ range shifts. [Peer Reviewed Abstract], GeoComputation, Dallas, TX , 20-MAY-15 - 23-MAY-15. [Details]
(2015)Annual Meeting of the AAG,
Holloway, P., and Miller, J.A. (2015) Modelling species range shifts in response to climate change: how does incorporating migration affect uncertainty in projections. [Oral Presentation], Annual Meeting of the AAG, Chicago, IL , 21-APR-15 - 25-APR-15. [Details]
(2014)GIScience,
Holloway, P., and Miller, J.A. (2014) Uncertainty analysis of step-selection functions: The effect of model parameters on inferences about the relationship between animal movement and the environment. [Peer Reviewed Abstract], GIScience, Vienna, Austria . [Details]
(2014)Symposium on Animal Movement and the Environment,
Holloway, P., and Miller, J.A. (2014) User decisions in step-selection functions: How selection of model parameters influences the relationship between animal movement and the environment. [Oral Presentation], Symposium on Animal Movement and the Environment, Raleigh, NC , 05-MAY-14 - 08-MAY-14. [Details]
(2014)Annual Meeting of the AAG,
Holloway, P. (2014) Sensitivity analysis of step-selection function model parameters. [Oral Presentation], Annual Meeting of the AAG, Tampa, FL , 08-APR-14 - 12-APR-14. [Details]
(2013)US-International Association of Landscape Ecology, Annual Symposium,
Holloway, P., and Miller, J.A. (2013) Incorporating Movement in a Dynamic Landscape in Species Distribution Modelling. [Oral Presentation], US-International Association of Landscape Ecology, Annual Symposium, Austin, TX , 14-APR-13 - 17-APR-13. [Details]
(2013)Annual Meeting of the AAG,
Holloway, P. (2013) How movement pattern analysis can improve species distribution models. [Oral Presentation], Annual Meeting of the AAG, Los Angeles , 09-APR-13 - 13-APR-13. [Details]
(2012)GIScience,
Holloway, P., and Miller, J.A. (2012) A novel modelling technique to incorporate regular movement into species distribution models. [Peer Reviewed Abstract], GIScience, Columbus, OH . [Details]
(2012)Annual Meeting of the AAG,
Holloway, P., and Miller, J.A. (2012) Using simulated data to explore the effects of sampling strategy and density on species distribution models. [Oral Presentation], Annual Meeting of the AAG, New York, NY , 24-FEB-12 - 28-FEB-12. [Details]
(2011)Annual Meeting of the Southwestern Division of the AAG,
Holloway, P. (2011) Fire ecology: The forests of Texas. [Oral Presentation], Annual Meeting of the Southwestern Division of the AAG, Austin, TX , 10-NOV-11 - 12-NOV-11. [Details]

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Department of Geography

Tíreolaíocht

University College Cork, Cork

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