This repo hosts the code developed to analyse and visualise the responses from a user requirements survey. The programming language R was used for data analysis and visualisation.
The survey was conducted between November 2018 and May 2019 with the aim to find out how users working with large volumes of environmental data interact with data, what challenges they face and how they would like to use cloud-based data services in the future.
The term Big Earth Data in this context refers to digital information about Earth, including observations, imagery, derived higher-level products, forecasts and analyses produced by computer models.
The survey was conducted in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF) and as part of a PhD thesis on "Big Data technologies for environmental and climate data" at University of Marburg, Germany.
The questionnaire and an anonymised version of the survey responses are available on Zenodo with the following DOI:
- Wagemann, J., Siemen, S., Seeger, B. and J. Bendix (2021): Users of open Big Earth data - An analysis of the current state. Computers & Geosciences 157.
- Wagemann, J., Siemen, S., Seeger, B. and J. Bendix (2021): A user perspective on future cloud-based services for Big Earth data. International Journal of Digital Earth 2021.
The repository is structured based on the order of the survey questions. There are two base modules, who load the data, required libraries and define some functions:
Both scripts have to be loaded before the other scripts can be run. The other scripts have the code to analyse and visualise the respecitve question of the survey questionnaire.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
