|HydroTest: a web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts|
CW Dawson, RJ Abrahart, LM See
Environmental Modelling & Software 22 (7), 1034-1052, 2007
|Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments|
RJ Abrahart, L See
Hydrological processes 14 (11‐12), 2157-2172, 2000
|Agent-based models of geographical systems|
AJ Heppenstall, AT Crooks, LM See, M Batty
Springer Science & Business Media, 2011
|Mapping global cropland and field size|
S Fritz, L See, I McCallum, L You, A Bun, E Moltchanova, M Duerauer, ...
Global change biology 21 (5), 1980-1992, 2015
|Geo-Wiki: An online platform for improving global land cover|
S Fritz, I McCallum, C Schill, C Perger, L See, D Schepaschenko, ...
Environmental Modelling & Software 31, 110-123, 2012
|Global livestock production systems|
TP Robinson, PK Thornton, G Franceschini, RL Kruska, F Chiozza, ...
FAO and ILRI, 2011
|Mapping local climate zones for a worldwide database of the form and function of cities|
B Bechtel, PJ Alexander, J Böhner, J Ching, O Conrad, J Feddema, ...
ISPRS International Journal of Geo-Information 4 (1), 199-219, 2015
|Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting|
RJ Abrahart, F Anctil, P Coulibaly, CW Dawson, NJ Mount, LM See, ...
Progress in Physical Geography 36 (4), 480-513, 2012
|Data preprocessing for river flow forecasting using neural networks: wavelet transforms and data partitioning|
B Cannas, A Fanni, L See, G Sias
Physics and Chemistry of the Earth, Parts A/B/C 31 (18), 1164-1171, 2006
|Contribution of citizen science towards international biodiversity monitoring|
M Chandler, L See, K Copas, AMZ Bonde, BC López, F Danielsen, ...
Biological Conservation 213, 280-294, 2017
|Highlighting continued uncertainty in global land cover maps for the user community|
S Fritz, L See, I McCallum, C Schill, M Obersteiner, M Van der Velde, ...
Environmental Research Letters 6 (4), 044005, 2011
|Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information|
L See, P Mooney, G Foody, L Bastin, A Comber, J Estima, S Fritz, N Kerle, ...
ISPRS International Journal of Geo-Information 5 (5), 55, 2016
|Data-driven modelling: concepts, approaches and experiences|
D Solomatine, LM See, RJ Abrahart
Practical hydroinformatics, 17-30, 2009
|Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia|
K Al-Ahmadi, L See, A Heppenstall, J Hogg
Ecological complexity 6 (2), 80-101, 2009
|Land consolidation in Cyprus: why is an integrated planning and decision support system required?|
D Demetriou, J Stillwell, L See
Land use policy 29 (1), 131-142, 2012
|Identifying and quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications|
S Fritz, L See
Global Change Biology 14 (5), 1057-1075, 2008
|Farming and the geography of nutrient production for human use: a transdisciplinary analysis|
M Herrero, PK Thornton, B Power, JR Bogard, R Remans, S Fritz, ...
The Lancet Planetary Health 1 (1), e33-e42, 2017
|Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments|
RJ Abrahart, L See
|Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project|
GM Foody, L See, S Fritz, M Van der Velde, C Perger, C Schill, DS Boyd
Transactions in GIS 17 (6), 847-860, 2013
|Using control data to determine the reliability of volunteered geographic information about land cover|
A Comber, L See, S Fritz, M Van der Velde, C Perger, G Foody
International Journal of Applied Earth Observation and Geoinformation 23, 37-48, 2013