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Lukáš Gábor
Lukáš Gábor
Yale University
Overená e-mailová adresa na: fzp.czu.cz
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Citované v
Citované v
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On the use of global DEMs in ecological modelling and the accuracy of new bare-earth DEMs
V Moudrý, V Lecours, K Gdulová, L Gábor, L Moudrá, J Kropáček, J Wild
Ecological Modelling 383, 3-9, 2018
752018
Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward
V Moudrý, AF Cord, L Gábor, GV Laurin, V Barták, K Gdulová, M Malavasi, ...
Diversity and Distributions 29 (1), 39-50, 2023
522023
How do species and data characteristics affect species distribution models and when to use environmental filtering?
L Gábor, V Moudrý, V Barták, V Lecours
International Journal of Geographical Information Science 34 (8), 1567-1584, 2020
462020
Applicability of data acquisition characteristics to the identification of local artefacts in global digital elevation models: Comparison of the copernicus and tandem-x dems
J Marešová, K Gdulová, P Pracná, D Moravec, L Gábor, J Prošek, ...
Remote Sensing 13 (19), 3931, 2021
352021
The effect of positional error on fine scale species distribution models increases for specialist species
L Gábor, V Moudrý, V Lecours, M Malavasi, V Barták, M Fogl, P Šímová, ...
Ecography 43 (2), 256-269, 2020
352020
Potential pitfalls in rescaling digital terrain model-derived attributes for ecological studies
V Moudrý, V Lecours, M Malavasi, B Misiuk, L Gábor, K Gdulová, ...
Ecological Informatics 54, 100987, 2019
282019
Effects of environmental conditions on ICESat-2 terrain and canopy heights retrievals in Central European mountains
V Moudrý, K Gdulová, L Gábor, E Šárovcová, V Barták, F Leroy, ...
Remote Sensing of Environment 279, 113112, 2022
262022
Positional errors in species distribution modelling are not overcome by the coarser grains of analysis
L Gábor, W Jetz, M Lu, D Rocchini, A Cord, M Malavasi, A Zarzo‐Arias, ...
Methods in Ecology and Evolution 13 (10), 2289-2302, 2022
222022
Scale mismatches between predictor and response variables in species distribution modelling: A review of practices for appropriate grain selection
V Moudrý, P Keil, L Gábor, V Lecours, A Zarzo-Arias, V Barták, ...
Progress in Physical Geography: Earth and Environment 47 (3), 467-482, 2023
212023
Habitats as predictors in species distribution models: Shall we use continuous or binary data?
L Gábor, P Šímová, P Keil, A Zarzo‐Arias, CJ Marsh, D Rocchini, ...
Ecography 2022 (7), e06022, 2022
162022
Importance of data selection and filtering in species distribution models: A case study on the Cantabrian brown bear
A Zarzo‐Arias, V Penteriani, L Gábor, P Šímová, F Grattarola, V Moudrý
Ecosphere 13 (12), e4284, 2022
112022
Fine-scale habitat characterization of The Gully, the Flemish Cap, and the Orphan Knoll, Northwest Atlantic, with a focus on cold-water corals
V Lecours, L Gábor, E Edinger, R Devillers
Seafloor geomorphology as benthic habitat, 735-751, 2020
112020
Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable
L Gábor, W Jetz, A Zarzo‐Arias, K Winner, S Yanco, S Pinkert, CJ Marsh, ...
Ecography 2023 (6), e06358, 2023
92023
A quixotic view of spatial bias in modelling the distribution of species and their diversity
D Rocchini, E Tordoni, E Marchetto, M Marcantonio, AM Barbosa, ...
npj Biodiversity 2 (1), 10, 2023
82023
Active commuting of the inhabitants of Liberec city in low and high walkability areas
L Rubín, J Mitáš, J Dygrýn, J Šmída, L Gábor, A Pátek
Acta Gymnica 45 (4), 195-202, 2015
82015
Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns
D Rocchini, J Nowosad, R D’Introno, L Chieffallo, G Bacaro, RC Gatti, ...
Ecological Informatics 76, 102045, 2023
42023
Optimising Species Distribution Models: Sample size, positional error, and sampling bias matter
V Moudrý, M Bazzichetto, R Remelgado, R Devillers, J Lenoir, RG Mateo, ...
EcoEvoRxiv, 2023
32023
Assessing the applicability of binary land-cover variables to species distribution models across multiple grains
L Gábor, J Cohen, V Moudrý, W Jetz
Landscape Ecology 39 (3), 66, 2024
22024
Optimising occurrence data in species distribution models: sample size, positional uncertainty, and sampling bias matter
V Moudrý, M Bazzichetto, R Remelgado, R Devillers, J Lenoir, RG Mateo, ...
Ecography, e07294, 2024
2024
Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases
E Marchetto, M Livornese, FM Sabatini, E Tordoni, D DA RE, J Lenoir, ...
BIODIVERSITY INFORMATICS, 1-31, 2024
2024
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