Opportunities and Challenges of Visualization and Open Data in Food Security Analysis

Opportunities and Challenges of Visualization and Open Data in Food Security Analysis

Thida Chaw Hlaing (University of New England, Australia) and Julian Prior (University of New England, Australia)
Copyright: © 2017 |Pages: 33
DOI: 10.4018/978-1-5225-2512-7.ch004


Statistical literacy presents many aspects about food security in the world. It highlights weaknesses, it creates awareness of threats in current situations, helps overcome challenges and creates opportunities for the future. Statistical data analysis enables existing food security interventions and programs to be reviewed and revised, and this better understanding of current situations enables more authoritative and relevant decision-making processes for the future. Statistical literacy involves skills and expertise in data description and interpretation (in words as well as in numbers) to name, explore and amend beliefs, opinions and suggestions. It helps decision-making processes about food security in a sub-nation, nation and region, as well as the world. This chapter will demonstrate the importance of open data and visualization, including its challenges and opportunities, in the food security context at national and global level to make decision-makers aware of the need to enhance their capacity for and investment in statistical literacy.
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Without statistical literacy of data interpretation and visualization, it is not easy to explore the strength and weakness of any industry. However, when statistical literacy is applied to agriculture, which is the focus of this chapter, it can give a complete picture in order to address a situation of food insecurity, including looming risks and potential solutions. For this reason, open data and big data statistical literacy are integral both to supply of and demand for data and information.

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