Web technologies for environmental big data

Recent evolutions in computing science and web technology provide the environmental community with continuously expanding resources for data collection and analysis that pose unprecedented challenges to the design of analysis methods, workflows, and interaction with data sets. In the light of the recent UK Research Council funded Environmental Virtual Observatory pilot project, this paper gives an overview of currently available implementations related to web-based technologies for processing large and heterogeneous datasets and discuss their relevance within the context of environmental data processing, simulation and prediction. We found that, the processing of the simple datasets used in the pilot proved to be relatively straightforward using a combination of R, RPy2, PyWPS and PostgreSQL. However, the use of NoSQL databases and more versatile frameworks such as OGC standard based implementations may provide a wider and more flexible set of features that particularly facilitate working with larger volumes and more heterogeneous data sources

Internet of Things and Big Data for a Sustainable Smart University

This study aims to analyze existing research regarding sustainable smart universities via internet of things and big data. Document analysis was conducted using 1,737 research documents relevant to the domain of smart university, smart campus, sustainable university, internet of things, and big data from international databases including Scopus, IEEE, Web of Science and ERIC. The matrix analysis method was used to identify the relevant publications produced 158 items and six cluster themes and proposed conceptual frameworks illustrating elements necessary for a sustainable smart university via internet of things and big data. The illustrated networks demonstrated that a smart campus involves a technology of internet of things and big data. The targets for a smart campus/smart university includes resource management, security management and the provision of a digital service to students and staff. By linking a smart campus with sustainability, the network models show that some research focus on applying smart technologies to improve the sustainability of a campus by concentrating on natural resource management and environmental care

Ecological Science Infrastructure for Sustainability Transformations in Rangelands

Sustainability transformations—deliberate and radical shifts in values, governance, and management regimes to achieve sustainability—are needed in rangelands as in other components of the Earth system. We review four concepts comprising an ecological science infrastructure to support such transformations. The foundation is standard measurement of rangeland conditions in the field, especially vegetation and soil properties that underpin the environmental aspects of sustainability. Big data resources, especially gridded spatial datasets produced by models and remote sensing, can be combined with field data and computational approaches to upscale information about rangeland conditions and produce additional indicators of ecosystem functions and services. State and transition models (STMs) linked to land types provide a means to interpret indicators and link interpretations to sustainable land management practices to manage change. Technologies for climate adaptation in rangelands also need to be linked to STM databases. Web and mobile technologies can put multifaceted science knowledge into the hands of pastoralists worldwide to support transformational changes in how rangelands are managed

Development of Distributed Research Center for analysis of regional climatic and environmental changes

We present an approach and first results of a collaborative project being carried out by a joint team of researchers from the Institute of Monitoring of Climatic and Ecological Systems, Russia and Earth Systems Research Center UNH, USA. Its main objective is development of a hardware and software platform prototype of a Distributed Research Center (DRC) for monitoring and projecting of regional climatic and environmental changes in the Northern extratropical areas. The DRC should provide the specialists working in climate related sciences and decision-makers with accurate and detailed climatic characteristics for the selected area and reliable and affordable tools for their in-depth statistical analysis and studies of the effects of climate change. Within the framework of the project, new approaches to cloud processing and analysis of large geospatial datasets (big geospatial data) inherent to climate change studies are developed and deployed on technical platforms of both institutions. We discuss here the state of the art in this domain, describe web based information-computational systems developed by the partners, justify the methods chosen to reach the project goal, and briefly list the results obtained so far

Technology development as a tool towards circularity: a research agenda

New technological development enables to implement circular economy (CE) practices. This phenomenon is taking particular interest for the Academy. The aim of this study is to analyse the cognitive and intellectual structure of the relationship between CE and technology. The proposed research questions seek to answer how the evolution of the number of publications per year, the main authors, journals, institutions and countries in this field, and the most relevant topics and papers in the research area are. It is used a bibliometric approach of co-word analysis of 996 articles published on Web of Science. In addition, it is proposed a research agenda after reviewing the most cited articles and points the research trend topics. There is a need to include topics associated with the social sphere, since most of the research is focused on environmental aspects and economic effects. In recent years, research has been polarised towards the blockchain, Big Data and biorefinery technologies. Although these technologies are in demand, it should not ignore other emerging technologies that could be key to circularity, such as those related to product redesign or changes in production infrastructures