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Semantically-Enabled Sensor Plug & Play for the Sensor Web
A Sensor Plug & Play infrastructure for the Sensor Web is introduced by combining semantic matchmaking functionality, a publish/subscribe mechanism underlying the SensorWeb, as well as a model for the declarative description of sensor interfaces which serves as a generic driver mechanism.
Reproducible research and GIScience: an evaluation using AGILE conference papers
To support researchers in producing reproducible work, the GIScience conference series could offer awards and paper badges, provide author guidelines for computational research, and publish articles in Open Access formats.
Ten simple rules for writing Dockerfiles for reproducible data science
A set of rules to help researchers write understandable Dockerfiles for typical data science workflows are presented and researchers can create containers suitable for sharing with fellow scientists, for including in scholarly communication such as education or scientific papers, and for effective and sustainable personal workflows.
The R software environment in reproducible geoscientific research
Why people use R and how it helps in communicating and reproducing research are described.
Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers
Geographic Object-Based Image Analysis (GEOBIA) mostly uses proprietary software,but the interest in Free and Open-Source Software (FOSS) for GEOBIA is growing. This interest stems not only from cost…
Connecting R to the Sensor Web
This paper shows how sos4R can bridge the gap between two communities in science: spatial statistical analysis and visualization on one side and the Sensor Web community on the other, and concludes that it is able to close thegap between R and the sensor web.
How to Read a Research Compendium
The existing conventions for research compendia are introduced and how to utilise their shared properties in a structured reading process is suggested.
Reproducible Research is like riding a bike
The approach taken to put Reproducible Research in the agenda of the GIScience community is outlined, first actions and initial lessons learned towards the discussion and adoption of RR principles and practices in the workflows and habits of researchers are presented and a short-term strategy is presented.