![]() ![]() Snow petitioned the local authorities to remove the pump's handle, and when the handle was removed, there was a dramatic decrease in cholera cases for the immediate area. The map showed that a high number of deaths were occurring near a water pump on Broad Street at Cambridge Street. Cholera deaths were depicted along the road network in their correct locations by address and measured by marks stacked next to the road. He symbolized all of the water pumps throughout the area. The study area was outlined along the relevant road centerlines. ![]() The base map was a simple road network, with few buildings named or depicted. ![]() Snow's map of the 1854 Broad Street cholera outbreak in London was simple and effective in its design. He found that cholera is not transmitted through the inhalation of infected air but through the ingestion of contaminated water or food. John Snow created a dot distribution map that settled a debate between two schools of thought. In 1854, when a large outbreak occurred in London, Dr. Cholera cases are highlighted in black.ĭuring the 1850s, cholera was a large problem throughout England. If a smaller unit area, such as counties, were used to organize the data, the dots would be located closer to their real-world position. For example, if the number of farms in each state of the United States was being represented on a dot density map, a state with few farms, such as Arizona, would have dots spread far apart within its boundaries. This allows the placement of the dots to be closer to the actual locations of the features being mapped, portraying a more accurate distribution within each area. Due to the random placement of the dots within each area represented on the map, it is important to use the smallest unit area possible to display the data. In a dot density map, the dots are all the same size and do not represent actual point locations of data. Dots in dot density maps do not represent the locations of things they represent a summary of data for a given area.ĭot density is an effective method to visualize concentrations of quantitative data. For example, a map of a state with dots representing locations of fast food restaurants would not be considered a dot density map. There are two types of dot maps, produced through very different techniques, but to similar effect: 1) point feature maps, based on point data representing the location of every individual in the population, and 2) choropleth dot maps, using the same kind of polygon/aggregate-attribute data used for choropleth maps, but showing the value of each district using a number of randomly placed dots rather than a solid fill color.Įach dot in a dot density map represents an aggregate of information. Thus, areas with more dots indicate higher density/concentration. Each dot may represent either a single individual, or a representative group of individuals, and dots are placed according to the precise or estimated locations of these individuals or groups, usually using GIS data. Dot density maps can be a good alternative to choropleth maps because you can show the raw variable without normalizing it because the map viewer still gets an idea of how it is distributed. Dot density map showing concentrations of population 21+ in Ohio.Ī dot density map is a type of Thematic map that uses large numbers of dots or points to portray the relative geographic distribution of a population of some kind (e.g., people, livestock, businesses). ![]()
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