Table 3 Visualization techniques commonly used in food safety RAPW over the last decade.

From: Review of visual analytics methods for food safety risks

Categorization

Visualization Techniques

Application Cases in Food Safety

Multidimensional Data Visualization

Scatterplot

Show the correlations of two attributes in red wine data78

Scatterplot Matrix

Analyze the correlations among multiple nutrients in food79

Parallel Coordinates

Compare the differences between multiple maximum residue limit standards82 and rank agricultural products by multiple indicators31

Associated and Hierarchical Data Visualization

Node-linked Graph/Node-linked Tree

Show the association between food and hazards83,84 and present the classification of foods, food additives, and products85

Adjacency Matrix

Represent the detection relationship86

Space-filling Methods

Represent the distribution of pesticide residues87, the differences of multiple maximum residue limits82,91, and the association between hazards and products88,89,90

Spatial-temporal Data Visualization

Map-based Methods

Analyze the spatial distribution of pesticide residue92,94

Timeline Methods

Capture temporal trends and seasonal patterns of salmonellosis118

Spatial-temporal Correlation Methods

Capture the geographical distribution characteristics and the development trend of food attributes over time87

Visualization Interaction

Select / Filter / Navigate

Quickly locate highly contaminated agricultural products and pesticides86 and compare maximum residue limit standards from different countries or regions82

Overview + Detail

Focus + Context