@misc{gonzlezvalos_data_analysis_2022, 
author={González Ávalos, E., Dransch, D., Abraham, N., Buck, V., Eggert, D., Kwasnitschka, T., Rabe, D., Stäbler, F., Wichert, V.},
title={Data Analysis and Exploration with Visual Approaches},
year={2022},
howpublished = {book part},
doi = {https://doi.org/10.1007/978-3-030-99546-1_3},
abstract = {A comprehensive study of the Earth system and its related processes requires a holistic examination and understanding of multidimensional data acquired with a large number of different sensors or produced by various models. To this end, the Digital Earth project developed a set of software solutions to study environmental data sets using visual approaches. In the following chapter, we present three data visualization products developed to deal with the challenges of the analysis and exploration of environmental data.},
note = {Online available at: \url{https://doi.org/10.1007/978-3-030-99546-1_3} (DOI). González Ávalos, E.; Dransch, D.; Abraham, N.; Buck, V.; Eggert, D.; Kwasnitschka, T.; Rabe, D.; Stäbler, F.; Wichert, V.: Data Analysis and Exploration with Visual Approaches. In: Bouwer, L.; Dransch, D.; Ruhnke, R.; Rechid, D.; Frickenhaus, S.; Greinert, J. (Ed.): Integrating Data Science and Earth Science : Challenges and Solutions. Cham: Springer. 2022. 17-28. DOI: 10.1007/978-3-030-99546-1_3}}