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Matthew Wilson
PeerJ Editor
1,735 Points

Contributions by role

Editor 1,735

Contributions by subject area

Natural Resource Management
Ecohydrology
Spatial and Geographic Information Science
Ecology
Environmental Contamination and Remediation
Environmental Impacts
Conservation Biology
Coupled Natural and Human Systems
Soil Science
Ecosystem Science
Statistics
Computational Science
Global Health
Food, Water and Energy Nexus
Biogeography
Freshwater Biology
Forestry
Agricultural Science
Data Science

Matthew D Wilson

PeerJ Editor

Summary

Matthew (Matt) Wilson is a Professor in Spatial Information and Director of the Geospatial Research Institute Toi Hangarau at the University of Canterbury in Christchurch, New Zealand. He is a surface water hydrologist and geographical information scientist with specialisations including flood risk, surface water dynamics, water resources, remote sensing, numerical model development, uncertainty analysis and the assessment of the potential impacts of climate change. Previous research has included the assessment of the potential impacts of climate change on flood risk and water resources in the Caribbean and the analysis of surface water hydrodynamics on a 300 km reach of the Amazon River in Brazil. In New Zealand, his current research includes leading the uncertainty theme for a national scale flood risk assessment, the creation of a digital twin for flood resilience, and the creation of algorithms for processing of novel airborne GNSS reflectometry measurements for estimation of soil water content.

Ecohydrology Environmental Impacts Natural Resource Management Scientific Computing & Simulation Spatial & Geographic Information Science Spatial & Geographic Information Systems

Editing Journals

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

University of Canterbury

Work details

Director and Professor in Spatial Information

University of Canterbury
February 2017
Geospatial Research Institute
Director of the Geospatial Research Institute Toi Hangarau. Professor in Spatial Information based in the School of Earth and Environment.

Websites

  • Geospatial Research Institute
  • Google Scholar
  • LinkedIn

PeerJ Contributions

  • Edited 10

Academic Editor on

June 22, 2022
The role of the river in the functioning of marginal fen: a case study from the Biebrza Wetlands
Maria Grodzka-Łukaszewska, Grzegorz Sinicyn, Mateusz Grygoruk, Dorota Mirosław-Świątek, Ignacy Kardel, Tomasz Okruszko
https://doi.org/10.7717/peerj.13418 PubMed 35762017
January 25, 2021
Changes in precipitation amounts and extremes across Xinjiang (northwest China) and their connection to climate indices
Wenfeng Hu, Junqiang Yao, Qing He, Jing Chen
https://doi.org/10.7717/peerj.10792 PubMed 33552744
September 8, 2020
Monthly drought prediction based on ensemble models
Muhammad Haroon Shaukat, Ijaz Hussain, Muhammad Faisal, Ahmad Al-Dousari, Muhammad Ismail, Alaa Mohamd Shoukry, Elsayed Elsherbini Elashkar, Showkat Gani
https://doi.org/10.7717/peerj.9853 PubMed 33194356
August 6, 2020
The Bayesian confidence intervals for measuring the difference between dispersions of rainfall in Thailand
Noppadon Yosboonruang, Sa-Aat Niwitpong, Suparat Niwitpong
https://doi.org/10.7717/peerj.9662 PubMed 32844064
April 29, 2020
Activity-specific mobility of adults in a rural region of western Kenya
Jessica R. Floyd, Joseph Ogola, Eric M. Fèvre, Nicola Wardrop, Andrew J. Tatem, Nick W. Ruktanonchai
https://doi.org/10.7717/peerj.8798 PubMed 32377444
February 17, 2020
Investigating the potential use of Sentinel-1 data for monitoring wetland water level changes in China’s Momoge National Nature Reserve
Yueqing Chen, Sijia Qiao, Guangxin Zhang, Y. Jun Xu, Liwen Chen, Lili Wu
https://doi.org/10.7717/peerj.8616 PubMed 32110497
December 6, 2019
Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model
Hafiza Mamona Nazir, Ijaz Hussain, Muhammad Faisal, Elsayed Elsherbini Elashkar, Alaa Mohamd Shoukry
https://doi.org/10.7717/peerj.8043 PubMed 31871832
July 1, 2019
An improved framework to predict river flow time series data
Hafiza Mamona Nazir, Ijaz Hussain, Ishfaq Ahmad, Muhammad Faisal, Ibrahim M. Almanjahie
https://doi.org/10.7717/peerj.7183 PubMed 31304058
October 23, 2018
The effectiveness of Payments for Ecosystem Services at delivering improvements in water quality: lessons for experiments at the landscape scale
Edwin L. Pynegar, Julia P.G. Jones, James M. Gibbons, Nigel M. Asquith
https://doi.org/10.7717/peerj.5753 PubMed 30386694
June 27, 2018
Seasonal dynamics of terrestrial vertebrate abundance between Amazonian flooded and unflooded forests
Hugo C.M. Costa, Carlos A. Peres, Mark I. Abrahams
https://doi.org/10.7717/peerj.5058 PubMed 29967733