Abstract
NC94 dataset is an agricultural dataset which consists of climate, crop, and soil data and is considered as a completely dataset available. The data is organized based on county and is treated as an object. It is adapted in interdisciplinary research and widely used in various research domains and once again has been exploited in our parametric database research. In this research work, we exploit the climate data of NC94 dataset to calculate the cumulative degree of coldness in Iowa in last 30 years. To demonstrate the degree of coldness, an xml based scheme is used considering blue as the base color with the notion that darker shade reflects higher degree of coldness. This work is a baby step towards the generation of climate atlas of North Central Region of USA in one single click.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Seo-Young, N.: Hybrid Storage Design for NC94 Database within the Parametric Data Model Framework. In: Proceedings of the International Conference on Computational Science and Its Applications, Part II, Glasgow, UK, May 8-11, pp. 145–154 (2006)
Patanroi, D.: Binary Page Implementation of a Canonical Native Storage for XML. Master’s thesis, Department of Computer Science, Iowa State University, Ames, Iowa (August 2005)
Ma, S.: Implementation of a canonical native storage for XML. Master’s Thesis, Department of Computer Science, Iowa State University (2004)
Gadia, S.K., Gutowski, W.J., Al-Kaisi, M., Taylor, S.E., Herzmann, D.: Database tools promoting extensive, user-friendly access to the iowa environmental mesonet. Baker Proposal (2004)
Sripada, L.N., Lu, C.-T., Wu, W.: Evaluating GML Support for Spatial Databases. In: 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC 2004), vol. 2, pp. 74–77 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sharma, S., Gadia, S., Goyal, S.B. (2010). On the Calculation of Coldness in Iowa, a North Central Region, United States: A Summary on XML Based Scheme. In: Das, V.V., Vijaykumar, R. (eds) Information and Communication Technologies. ICT 2010. Communications in Computer and Information Science, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15766-0_63
Download citation
DOI: https://doi.org/10.1007/978-3-642-15766-0_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15765-3
Online ISBN: 978-3-642-15766-0
eBook Packages: Computer ScienceComputer Science (R0)