Dot maps are useful for showing the density and indicating the distribution of a variable.
Dot maps are used to show a phenomenon when both the value and location are known
Dot maps create a visual impression of density by placing a dot, in the approximate location of the variable being mapped.
Dot maps should only be used for raw data, not for standardised data or percentages.
If well-constructed, dot maps show distributions and density of a variable, due to the phenomenon of knowing both location and value.
On dot maps it is easier to show variations in the distribution of a wide variety of commodities if the dot map is presented using different colours.
Dot maps are easier to construct than proportional symbols maps, as all data points have an equal value.
On a dot map it is easy to compare the distribution of items by considering the concentration of dots.
On a dot map, it is easy to interpret data by counting the number of dots multiplied by the dot value to obtain the total value of a given area.
Developing a dot map is time consuming, especially marking the dots on the map.
The construction of dot maps involves tedious calculations, especially when determining the number of dots.
When the scale is small, many dots are drawn, which may cause overcrowding and difficulties in counting.
In cases where there is an even distribution of dots on a map, there may be a false impression that the distribution is the same over the represented area.
Locating dots on a map is a personal and subjective decision and two maps prepared by two different people using the same data are rarely identical.