Artificial neural networks for monitoring network optimisation—a practical example using a national insect survey

Exploring prediction uncertainty of spatial data in geostatistical and machine learning approaches

(2019) Francky Fouedjio et al.   Environmental Earth Sciences

Spatial and habitat variation in aphid, butterfly, moth and bird phenologies over the last half century

(2019) James R. Bell et al.   GLOBAL CHANGE BIOLOGY

Performing Multi-Target Regression via a Parameter Sharing-based Deep Network

(2019) Oscar Reyes et al.   International Journal of Neural Systems

Projecting Australia's forest cover dynamics and exploring influential factors using deep learning

(2019) Long Ye et al.   ENVIRONMENTAL MODELLING & SOFTWARE

HadUK‐Grid—A new UK dataset of gridded climate observations

(2019) Dan Hollis et al.   Geoscience Data Journal

Dynamic selection of environmental variables to improve the prediction of aphid phenology: A machine learning approach

(2018) Paul Holloway et al.   ECOLOGICAL INDICATORS

Creating extreme weather time series through a quantile regression ensemble

(2018) Manuel Herrera et al.   ENVIRONMENTAL MODELLING & SOFTWARE

On Lack of Robustness in Hydrological Model Development Due to Absence of Guidelines for Selecting Calibration and Evaluation Data: Demonstration for Data-Driven Models

(2018) Feifei Zheng et al.   WATER RESOURCES RESEARCH

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

Local and regional climate variables driving spring phenology of tortricid pests: a 36 year study

(2018) Damie Pak et al.   ECOLOGICAL ENTOMOLOGY

Phenological sensitivity to climate across taxa and trophic levels

(2016) Stephen J. Thackeray et al.   NATURE

Optimization of a Coastal Environmental Monitoring Network Based on the Kriging Method: A Case Study of Quanzhou Bay, China

(2016) Kai Chen et al.   Biomed Research International

Modelling Population Dynamics in Realistic Landscapes with Linear Elements: A Mechanistic-Statistical Reaction-Diffusion Approach

(2016) Lionel Roques et al.   PLoS One

Changes in large-scale climate alter spatial synchrony of aphid pests

(2015) Lawrence W. Sheppard et al.   Nature Climate Change

Long-term phenological trends, species accumulation rates, aphid traits and climate: five decades of change in migrating aphids

(2014) James R. Bell et al.   JOURNAL OF ANIMAL ECOLOGY

A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks

(2013) Wenyan Wu et al.   WATER RESOURCES RESEARCH

Spatial sampling design based on spectral approximations to the random field

(2012) Gunter Spöck   ENVIRONMENTAL MODELLING & SOFTWARE

Design of sampling locations for mountainous river monitoring

(2011) Huu Tuan Do et al.   ENVIRONMENTAL MODELLING & SOFTWARE

The trait and host plant ecology of aphids and their distribution and abundance in the United Kingdom

(2011) James R. Bell et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Trophic level asynchrony in rates of phenological change for marine, freshwater and terrestrial environments

(2010) STEPHEN J. THACKERAY et al.   GLOBAL CHANGE BIOLOGY

Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network

(2009) Paul H. Hiemstra et al.   COMPUTERS & GEOSCIENCES