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
Assessing vulnerability and adaptation responses to rainfall-related landslides in China, a case study of Enshi Prefecture in Hubei Province
Based on the questionnaire inquiring for landslide disaster of Enshi Autonomous Prefecture in Hubei province, the biophysical, socio-economic, experience, and emergency preparedness and adaptation strategies to disasters characteristics are classified by using SPSS cluster analysis method. It aims to ascertain landslide prone areas in China and assess their vulnerability to flooding and landslide. The results of the cluster analysis of the survey data generated three clusters, high vulnerable-traditional farmers, medium vulnerable-large economical farmers and low vulnerable-commercial and less-farm. The local government should take some accurate and effective measures to protect people and their property from destroying from rainfall-related landslide. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Intelligent Information Technology Application Research Association.
Inappropriate format for Document type, expected simple value but got array, please use list format