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

Opportunities and Challenges of Visualization and Open Data in Food Security Analysis
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Author(s): Thida Chaw Hlaing (University of New England, Australia)and Julian Prior (University of New England, Australia)
Copyright: 2019
Pages: 25
Source title: Socio-Economic Development: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7311-1.ch039

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Abstract

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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