Evaluation of the factors explaining the use of agricultural land: A machine learning and model-agnostic approach

A critical review of water resources in Greece: The key role of agricultural adaptation to climate-water effects

(2021) Nektarios N. Kourgialas   SCIENCE OF THE TOTAL ENVIRONMENT

A comparison of machine learning models for the mapping of groundwater spring potential

(2020) A’kif Al-Fugara et al.   Environmental Earth Sciences

Evaluating Dominant Land Use/Land Cover Changes and Predicting Future Scenario in a Rural Region Using a Memoryless Stochastic Method

(2020) Cláudia M. Viana et al.   Sustainability

The predictive performances of random forest models with limited sample size and different species traits

(2020) Jing Luan et al.   FISHERIES RESEARCH

Visualizing the effects of predictor variables in black box supervised learning models

(2020) Daniel W. Apley et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Predicting dengue importation into Europe, using machine learning and model-agnostic methods

(2020) Donald Salami et al.   Scientific Reports

Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach

(2020) Prasanth Valayamkunnath et al.   Scientific Data

Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States

(2020) Xiang Ren et al.   ENVIRONMENT INTERNATIONAL

Dramatic Loss of Agricultural Land Due to Urban Expansion Threatens Food Security in the Nile Delta, Egypt

(2019) Taher M. Radwan et al.   Remote Sensing

Comparison of machine learning algorithms for classification of LiDAR points for characterization of canola canopy structure

(2019) Lian Wu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Assessing the performance of 38 machine learning models: the case of land consumption rates in Bavaria, Germany

(2019) Julian Hagenauer et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review

(2019) Maher Milad Aburas et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Long-Term Satellite Image Time-Series for Land Use/Land Cover Change Detection Using Refined Open Source Data in a Rural Region

(2019) Cláudia M. Viana et al.   Remote Sensing

Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis

(2019) Komlavi Akpoti et al.   AGRICULTURAL SYSTEMS

Evaluating complex relationships between ecological indicators and environmental factors in the Baltic Sea: A machine learning approach

(2019) Annukka Lehikoinen et al.   ECOLOGICAL INDICATORS

Machine Learning Interpretability: A Survey on Methods and Metrics

(2019) Diogo V. Carvalho et al.   Electronics

Using species distribution model to predict the impact of climate change on the potential distribution of Japanese whiting Sillago japonica

(2019) Zhixin Zhang et al.   ECOLOGICAL INDICATORS

The proposed indicator of fragmentation of agricultural land

(2019) Paweł Postek et al.   ECOLOGICAL INDICATORS

Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

(2019) Abdulhakim Mohamed Abdi   GIScience & Remote Sensing

Model complexity affects species distribution projections under climate change

(2019) Philipp Brun et al.   JOURNAL OF BIOGEOGRAPHY

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers

(2019) Davoud Davoudi Moghaddam et al.   CATENA

Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation

(2018) Hanna Meyer et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Modelling regional cropping patterns under scenarios of climate and socio-economic change in Hungary

(2018) Sen Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Agricultural land fragmentation analysis in a peri-urban context: From the past into the future

(2018) Eduardo Gomes et al.   ECOLOGICAL INDICATORS

Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour

(2017) Ron Johnston et al.   QUALITY & QUANTITY

Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images

(2017) Edwin Raczko et al.   European Journal of Remote Sensing

Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem

(2016) Ren-Min Yang et al.   ECOLOGICAL INDICATORS

Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation

(2015) Aranildo R. Lima et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Bioclimatological mapping tackling uncertainty propagation: application to mainland Portugal

(2015) T. Monteiro-Henriques et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Multi-level block permutation

(2015) Anderson M. Winkler et al.   NEUROIMAGE

How Could Agricultural Land Systems Contribute to Raise Food Production Under Global Change?

(2014) Wen-bin WU et al.   Journal of Integrative Agriculture

Where is positional uncertainty a problem for species distribution modelling?

(2013) Babak Naimi et al.   ECOGRAPHY

Solutions for a cultivated planet

(2011) Jonathan A. Foley et al.   NATURE

Ecological and socio-cultural factors influencing in situ conservation of crop diversity by traditional Andean households in Peru

(2011) Dora Velásquez-Milla et al.   Journal of Ethnobiology and Ethnomedicine

Food Security: The Challenge of Feeding 9 Billion People

(2010) H. C. J. Godfray et al.   SCIENCE

Revealing cryptic spatial patterns in genetic variability by a new multivariate method

(2008) T Jombart et al.   HEREDITY