![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhodPs8O1MPvrCbEdXWU-2likVTveCBmtIjUhrOG39W6kI63tcrMPX_hcDROGfSPiqt_NzFeInHbjkIIOw8zPdOLQj2x9tFCNuNOy7_7NVtXuAg1umxIB2zOKfyz8q0C5R25ylNuHULkwU/s320/Dot+All%2520Wheat%2520for%2520Grain,%2520Harvested%2520Acres-dot.gif)
Dot distribution maps provide a way to demonstrate information simply. Each dot represents a set scale; in this case 1 dot=1,000 acres of wheat harvested. This is a dot density point pattern map using nonproportional dots. Quadrat or Nearest Neighbor Analysis can be used to evaluate point patterns for random, uniform or clustered patterns.
http://www.nass.usda.gov/research/atlas02/Crops/Field%20Crops%20Harvested/Wheat/All%20Wheat%20for%20Grain,%20Harvested%20Acres-dot.gif
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