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Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data, , , , , , and . Ecological Applications, 19 (1): 181--197 (January 2009)Spatial Dynamic Modelling of Future Scenarios of Land Use Change in Vaud and Valais, Western Switzerland., , and . ISPRS Int. J. Geo Inf., 6 (4): 115 (2017)Supporting SDG 15, Life on Land: Identifying the Main Drivers of Land Degradation in Honghe Prefecture, China, between 2005 and 2015., , , , , , and . ISPRS Int. J. Geo Inf., 9 (12): 710 (2020)Facilitating the production of ISO-compliant metadata of geospatial datasets., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)GEOEssential - mainstreaming workflows from data sources to environment policy indicators with essential variables., , , , , , , , , and 3 other author(s). Int. J. Digit. Earth, 13 (2): 322-338 (2020)From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland., , , , , and . ISPRS Int. J. Geo Inf., 7 (12): 455 (2018)Too many candidates: Embedded covariate selection procedure for species distribution modelling with the covsel R package., , , , , , , , , and 1 other author(s). Ecol. Informatics, (July 2023)Developing food, water and energy nexus workflows., , , , , , , , , and 8 other author(s). Int. J. Digit. Earth, 13 (2): 299-308 (2020)Grid-enabled Spatial Data Infrastructure for environmental sciences: Challenges and opportunities., , and . Future Gener. Comput. Syst., 27 (3): 292-303 (2011)Sharing Environmental Data through GEOSS., , , , , , , , , and . Int. J. Appl. Geospat. Res., 2 (1): 1-17 (2011)