The parameters representing refugee camp topology covering a range of variables are explored in detail.

These parameters involve Demographics, Population, Logistics, Healthcare, Infrastructure, Development, Climate and Logistics.

On the left, the first plot represents the similarity between parameters - the closer the parameter, the higher the similarity.

The second plot accessed in the same region as the first plot shows the distance between each parameter in the x-y axes. The colour intensity reflects the distance between parameters.

The plots on the right allows the parameters to be assessed in detail across refugee camps. Points represent camps, whereas colour reflects the level amount of the selected parameter.

The distance between points represents camp to camp similarity. Notice, similar camps that are closer together are more likely to have the same colour indicating level amount of the parameter.

The method known as Singular Value Decomposition, decomposes the data into independent factors that explain signals in the original dataset.

These factors are summaries that reflect:

1 - data parameters such as Climate and Geographic location, and,

2 - the data samples representing each refugee camp.