The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Extracting digital data from the First Land Utilisation Survey of Great Britain - Methods, issues and potential
The First Land Utilisation Survey of Great Britain (LUSGB), coordinated in the 1930s and 1940s by Professor L Dudley Stamp, is regarded as one of the most pre-eminent surveys of land utilisation in Britain. This paper considers techniques and methodological challenges in converting the wealth of information within the survey into digital vector format. The first steps of this process involve high resolution scanning of the map types of the LUSGB, followed by georeferencing. Supervised classification image processing techniques are then used in order to create a set of signatures from which, following clean up processes, subsequent vectorisation can take place. The paper then explores the resulting digital data from this semi-automated procedure for consistency in order to assess both the proposed method's accuracy for digitalisation of historic land change, as well as the respective accuracy of each map type of the original LUSGB. In particular, this paper examines the data produced from the one and ten-inch map series and also examines individual colour layer maps produced as part of the printing process. The paper concludes by reflecting on the potential of the semi-automated approach experimented with as well, as the avenues for future research in this area. (C) 2011 Elsevier Ltd. All rights reserved.
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