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Restful Web Service and Web-Based Data Visualization for Environmental Monitoring

Restful Web Service and Web-Based Data Visualization for Environmental Monitoring

Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim
Copyright: © 2015 |Volume: 3 |Issue: 1 |Pages: 20
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781466680593|DOI: 10.4018/ijsi.2015010106
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MLA

Lee, Sungchul, et al. "Restful Web Service and Web-Based Data Visualization for Environmental Monitoring." IJSI vol.3, no.1 2015: pp.75-94. http://doi.org/10.4018/ijsi.2015010106

APA

Lee, S., Jo, J., & Kim, Y. (2015). Restful Web Service and Web-Based Data Visualization for Environmental Monitoring. International Journal of Software Innovation (IJSI), 3(1), 75-94. http://doi.org/10.4018/ijsi.2015010106

Chicago

Lee, Sungchul, Ju-Yeon Jo, and Yoohwan Kim. "Restful Web Service and Web-Based Data Visualization for Environmental Monitoring," International Journal of Software Innovation (IJSI) 3, no.1: 75-94. http://doi.org/10.4018/ijsi.2015010106

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Abstract

The Nevada Solar Energy-Water-Environment Nexus project collects a large amount of environmental data from a variety of sensors such as soil, atmosphere, biology, and ecology. Mostly, the environmental data is related to a development of renewable energy resources in the Nexus project. The environmental data can have an impact on other research fields if it can easily be shared with other researchers, students, teachers, and general users. Therefore, Nevada Climate Change Portal (NCCP) site was created for Nexus project with a purpose of sharing such data. However, there are some challenges to address in utilizing such data, collecting the data, and sharing the data among the users. In this research, the authors propose Extended Web Service Architecture for solving these challenges. The authors implement Arduino instead of CR1000 as a collector due to its cost effectiveness. The authors also use REST API to overcome the limitations of Arduino. Moreover, the authors experiment with popular Web-based data visualization tools such as Google Chart, Flex, OFC, and D3 to visualize NCCP data.

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