2 effective and ineffective GIS maps:
Effective Maps:
1. Choropleth map- One of the most frequently used maps in geography. It is uses a coloring scheme which are different colors or a graduate color scale inside defined areas on a map in order to show value levels and indicate the average values of some property or quantity in those areas. These maps can effectively be used to report area values at virtually any scale, from global to local and that data can be thought about in a variety of ways at many different levels of analysis, from general overall patterns to detection of details. However, since the choropleth map uses an average number to represent defined areas, the viewer cannot gain detailed information or a perspective on any area's internal conditions.
2. Isopleth map- Show an imaginary surface by means of lines joining points of equal value, "isolines" e.g. contours on a topographic map. These maps are used for phenomena which vary smoothly across the map, such as temperature, pressure, rainfall or population density. This map design is effective because it requires a large amount of data for accurate drawing.
Ineffective Maps:
1. Dot distribution map- Also known as 'dot density' map is a map type that uses a dot symbol to show the presence of a feature or phenomenon. These maps rely on visual scatter to show spatial pattern. The map design is ineffective due to construction of dots maps involves tedious calculation especially when determining number of dots. Also, locating dots on map is to the certain extent a personal and subjective decision. Therefore, two dot maps that are being done by two individuals using the same data may rarely be identical.
2. Geologic map- Also known as a geological map is a special-purpose map made to show geological features such as rock units or geologic strata which are shown by color or symbols to indicate where they are exposed to the surface. this map design might be ineffective since might end having too much information therefore portraying a clustered outlook for viewers.
