Researcher Portfolio

 
   

Kraemer, Guido

Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society  

 

Researcher Profile

 
Position: Empirical Inference of the Earth System, Dr. Miguel D. Mahecha, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons209162

External references

 

Publications

 
 
 : Joswig, J., Kattge, J., Kraemer, G., Mahecha, M. D., Rüger, N., Schaepman, M. E., Schrodt, F., & Schuman, M. C. (2023). Imputing missing data in plant traits: A guide to improve gap-filling. Global Ecology and Biogeography, 32(8), 1395-1408. doi:10.1111/geb.13695. [PubMan] : Mahecha, M. D., Rzanny, M., Kraemer, G., Mäder, P., Seeland, M., & Wäldchen, J. (2021). Crowd-sourced plant occurrence data provide a reliable description of macroecological gradients. Ecography, 44(8), 1131-1142. doi:10.1111/ecog.05492. [PubMan] : Krich, C., Migliavacca, M., Miralles, D. G., Kraemer, G., El-Madany, T. S., Reichstein, M., Runge, J., & Mahecha, M. D. (2021). Functional convergence of biosphere-atmosphere interactions in response to meteorological conditions. Biogeosciences, 18(7), 2379-2404. doi:10.5194/bg-18-2379-2021. [PubMan] : Adsuara, J. E., Perez-Suay, A., Moreno-Martınez, A., Camps-Valls, G., Kraemer, G., Reichstein, M., & Mahecha, M. D. (2021). Discovering differential equations from earth observation data. In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 3999-4002). IEEE. doi:10.1109/IGARSS39084.2020.9324639. [PubMan] : Kraemer, G., Camps-Valls, G., Reichstein, M., & Mahecha, M. D. (2020). Summarizing the state of the terrestrial biosphere in few dimensions. Biogeosciences, 17(9), 2397-2424. doi:10.5194/bg-17-2397-2020. [PubMan] : Kraemer, G., Reichstein, M., Camps-Valls, G., Smits, J., & Mahecha, M. D. (2020). The low dimensionality of development. Social Indicators Research, 150, 999-1020. doi:10.1007/s11205-020-02349-0. [PubMan] : Kraemer, G. (2020). Low-Dimensional Representations of Earth System Processes. PhD Thesis, University of Valencia, Valencia. [PubMan] : Mahecha, M. D., Gans, F., Brandt, G., Christiansen, R., Cornell, S. E., Fomferra, N., Kraemer, G., Peters, J., Bodesheim, P., Camps-Valls, G., Donges, J. F., Dorigo, W., Estupinan-Suarez, L. M., Gutierrez-Velez, V. H., Gutwin, M., Jung, M., Londoño, M. C., Miralles, D. G., Papastefanou, P., & Reichstein, M. (2020). Earth system data cubes unravel global multivariate dynamics. Earth System Dynamics, 11(1), 201-234. doi:10.5194/esd-11-201-2020. [PubMan] : Mahecha, M. D., Guha-Sapir, D., Smits, J., Gans, F., & Kraemer, G. (2019). Data challenges limit our global understanding of humanitarian disasters triggered by climate extremes. In J. Sillmann, S. Sippel, & S. Russo (Eds.), Climate Extremes and Their Implications for Impact and Risk Assessment (pp. 243-256). Amsterdam: Elsevier. [PubMan] : Kraemer, G., Reichstein, M., & Mahecha, M. D. (2018). dimRed and coRanking—unifying dimensionality reduction in R. R Journal, 10(1), 342-358. doi:10.32614/RJ-2018-039. [PubMan] : Sierra, C., Mahecha, M. D., Poveda, G., Álvarez-Dávila, E., Gutierrez-Velez, V. H., Reuf, B., Feilhauer, H., Anáya, J., Armenteras, D., Benavides, A. M., Buendiak, C., Duque, Á., Estupinan-Suarez, L. M., González, C., Gonzalez-Caro, S., Jimenez, R., Kraemer, G., Londoño, M. C., Orrego, S. A., Posada, J. M., Ruiz-Carrascalo, D., & Skowronek, S. (2017). Monitoring ecological change during rapid socio-economic and political transitions: Colombian ecosystems in the post-conflict era. Environmental Science and Policy, 76, 40-49. doi:10.1016/j.envsci.2017.06.011. [PubMan]