Evolution of production and the efficient location of renewable energies. the case of China

Diaz P., Maso J. (2013) Evolution of production and the efficient location of renewable energies. the case of China. Energy Procedia. 40: 15-24.
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Doi: 10.1016/j.egypro.2013.08.003

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The twenty-first century has been a scenario for explosive investment in renewables. This paper examines such investment as well as the policies that support it. China represents a unique case in this regard due to its fast development. Whereas the issue of securing energy supply is becoming increasingly important over time, the energy return ratios, such as EROI, are important to evaluate the efficiency of energy production. A novel methodology is presented to identify the most convenient location to increase efficiency and energy return for renewables. The methodology also assesses the effects of renewables policies at different scales. © 2013 The Authors. Published by Elsevier Ltd.

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Social networks and internet communities in the field of geographic information and their role in open data government initiatives

Díaz P., Masó J. (2013) Social networks and internet communities in the field of geographic information and their role in open data government initiatives. Frameworks of IT Prosumption for Business Development. : 284-314.
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Doi: 10.4018/978-1-4666-4313-0.ch018

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Users are playing an increasingly relevant role in geospatial data production. The traditional procedure for creating cartography, mainly by experts in official mapping agencies, has evolved into a more participative process for generating data: neogeography. Technology and the Internet are now user-friendly for a wide range of people who have become active users of global networks, such as GEOSS, INSPIRE, Eye On Earth, and EarthCube, and official producers need to adapt to the new era of openness, collaboration, and hybrid maps by adopting open standards. Although the creation of geospatial information is notably growing worldwide, and is enhanced by user-generated content, we may wonder whether this is a feasible alternative to official cartography. This chapter reviews the main geospatial networks based on both bottom-up and top-down data creation approaches, as well as the potentialities and limitations of user-generated content in the scientific field and in decision-making organisms. © 2014 by IGI Global. All rights reserved.

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An integrated view of data quality in Earth observation

Yang X., Blower J.D., Bastin L., Lush V., Zabala A., Masó J., Cornford D., Díaz P., Lumsden J. (2013) An integrated view of data quality in Earth observation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 371: 0-0.
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Doi: 10.1098/rsta.2012.0072

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Rubric-Q: Adding quality-related elements to the GEOSS clearinghouse datasets

Zabala A., Riverola A., Serral I., Diaz P., Lush V., Maso J., Pons X., Habermann T. (2013) Rubric-Q: Adding quality-related elements to the GEOSS clearinghouse datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6: 1676-1687.
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Doi: 10.1109/JSTARS.2013.2259580

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Geospatial data have become a crucial input for the scientific community for understanding the environment and developing environmental management policies. The Global Earth Observation System of Systems (GEOSS) Clearinghouse is a catalogue and search engine that provides access to the Earth Observation metadata. However, metadata are often not easily understood by users, especially when presented in ISO XML encoding. Data quality included in the metadata is basic for users to select datasets suitable for them. This work aims to help users to understand the quality information held in metadata records and to provide the results to geospatial users in an understandable and comparable way. Thus, we have developed an enhanced tool (Rubric-Q) for visually assessing the metadata quality information and quantifying the degree of metadata population. Rubric-Q is an extension of a previous NOAA Rubric tool used as a metadata training and improvement instrument. The paper also presents a thorough assessment of the quality information by applying the Rubric-Q to all dataset metadata records available in the GEOSS Clearinghouse. The results reveal that just 8.7% of the datasets have some quality element described in the metadata, 63.4% have some lineage element documented, and merely 1.2% has some usage element described. © 2013 IEEE.

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