A5102976832- Distributed and Parallel Computing Systems
- Computational Physics and Python Applications
- Geophysics and Gravity Measurements
- Geological Modeling and Analysis
- Mobile Crowdsensing and Crowdsourcing
- Climate change impacts on agriculture
- Big Data Technologies and Applications
- Remote Sensing in Agriculture
- Data Management and Algorithms
- Privacy-Preserving Technologies in Data
- Land Use and Ecosystem Services
- Scientific Computing and Data Management
- Human Mobility and Location-Based Analysis
Joint Research Centre
2017-2024
The increasing amount of free and open geospatial data interest to major societal questions calls for the development innovative data-intensive computing platforms efficient effective extraction information from these data. This paper proposes a versatile petabyte-scale platform based on commodity hardware equipped with open-source software operating system, distributed file task scheduler batch processing as well containerization user specific applications. Interactive visualization...
A new Python package, pyjeo, that deals with the analysis of geospatial data has been created by Joint Research Centre (JRC). Adopting principles open science, JRC strives for transparency and reproducibility results. In this view, it decided to release pyjeo as free software. This paper describes design how its underlying C/C++ library was ported Python. Strengths limitations choices are discussed. particular, model allows generation on-the-fly cubes is importance. Two uses cases illustrate...
Mobile crowdsensing has rapidly become an interesting and useful methodology to collect data in modern smart cities, thanks the pervasiveness of users mobile devices. Although there are many different proposals, opportunistic participatory most popular ones. They share a common goal, but require effort from user, which often results increased costs for service provider. In this work we forecast user participation by leveraging large dataset obtained real world application, is key understand...