Abstract
State of Iowa is an agricultural rich state in north central region and is divided into 99 counties. NCRA in the United States maintains agricultural databases to facilitate crop and risk analysis, pest management and forecasting. NC94 is one such dataset which is intensively used and is available for public use through many sources to process and analyze to get future predictions about agriculture. In this work we calculate the cumulative degree of coldness in Iowa with spatial granularity as county in last 30 years. To demonstrate the degree of coldness, we choose blue as the base color and counties are rendered with different shades of blue color based on the degree of coldness. Higher intensity of the color reflects the higher coldness whereas the lower intensity corresponds to lower coldness. We expect that the results of this research provide direct benefits to farmers and will attract the attention of agricultural/ computational scientific community.
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References
Seo-Young, N.: Hybrid Storage Design for NC-94 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) compsac, vol. 2, pp. 74–77 (2004)
Narayanan, V.: A Workbench for Advanced Database Implementation and Benchmarking. Master’s thesis, Department of Computer Science, Iowa State University, Ames, Iowa (2009)
Bray, T., Paoli, J., Sperberg-McQueen, C.M., Maler, E., Yergeau, F.: Extensible- Markup Language (XML) 1.0., W3C recommendation, 4th edn., August 16 (2006)
Fiebig, T., Helmer, S., Kanne, C.-C., Moerkotte, G., Neumann, J., Schiele, R., Westmann, T.: Anatomy of a native XML base management system. Springer, Heidelberg (2002)
Jagadish, H.V., Al-Khalifa, S., Chapman, A., Lakshmanan, L.V.S., Nierman, A., Paparizos, S., Patel, J.M., Srivastava, D., Wiwatwattana, N., Wu, Y., Yu, C.: TIMBER: A native XML database. VLDB Journal 11(4), 274–291 (2002)
Noh, S.-Y., Gadia, S.K., Ma, S.: An XML-based methodology for parametric temporal database model implementation. Journal of Systems and Software 81(6) (June 2008)
North Central Regional Association of State Agricultural Experiment Station Directors. Expected Outcomes. NC094: Impact of Climate and Soils on Crop Selection and Management (September 2004)
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Sharma, S., Gadia, S.K. (2010). On Analyzing the Degree of Coldness in Iowa, a North Central Region, United States: An XML Exploitation in Spatial Databases. In: Meghanathan, N., Boumerdassi, S., Chaki, N., Nagamalai, D. (eds) Recent Trends in Network Security and Applications. CNSA 2010. Communications in Computer and Information Science, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14478-3_62
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DOI: https://doi.org/10.1007/978-3-642-14478-3_62
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