Table 1 Visual analytics techniques commonly used in food safety RAPW over the last decade.
From: Review of visual analytics methods for food safety risks
Data and Analysis Tasks | |||
|---|---|---|---|
Food Safety Risks | Data Sources | Data Characteristics | Analysis Tasks |
Microbial Contamination | Sensors | Multiple Dimensions | Association Analysis |
Pesticide and Veterinary Drug Residues | Online Databases | Hierarchical Structure | Risk Assessment |
Heavy Metal Contamination | Satellite Imagery | Associated Relations | Risk Prediction |
Illegal Additive and Fraud | Social Media | Spatial-temporal Distribution | Food Fraud Identification |
Data Analysis Methods | |||
|---|---|---|---|
Association Analysis | Risk Assessment | Risk Prediction | Food Fraud Identification |
Correlation Analysis | Qualitative Method | Traditional Machine Learning | Bayesian Network |
Regression Analysis | Quantitative Method | Shallow Neural Network | Extreme Learning Machine |
Association Rule Mining | Comprehensive Method | Deep Neural Network | Convolutional Neural Network |
Visualization Methods | |||
|---|---|---|---|
Multidimensional Data | Associated and Hierarchical Data | Spatial-temporal Data | Visualization Interaction |
Scatterplot | Node-linked Graph / Tree | Map-based Methods | Select / Filter / Navigate |
Scatterplot Matrix | Adjacency Matrix | Timeline Methods | Overview + Detail |
Parallel Coordinates | Space-filling Methods | Spatial-temporal Correlation | Focus + Context |
