Question

Difficulty: MediumStatistical Maps and Graphical Representation

A cartographer is tasked with displaying population density across different administrative districts in a state by applying varying intensities of shading, where darker shades represent higher densities. Which statistical mapping technique is being described, and what is a primary cartographic limitation of this method?

  1. A
    Isopleth map, which inverts the numerical scale ratio when plotting continuous lines of equal value across administrative boundaries.
  2. Choropleth map, which falsely assumes a uniform distribution of the phenomenon throughout each administrative unit.Answer
  3. C
    Proportional symbol map, which incorrectly assumes that doubling the map's linear scale doubles the represented surface area.
  4. D
    Flow map, which misattributes depositional statistics to upper course geographical regions.

Answer

The correct mapping technique is a choropleth map, whose primary limitation is creating an illusion of uniform population distribution across the entire administrative unit.
A choropleth map uses tonal shading or graduated colors applied to specific boundary units (such as states or districts) to display average values or densities. A major limitation of this technique is the false assumption that population density is evenly distributed across the entire area inside each boundary.

Step-by-Step Solution

1
Identify the mapping technique based on the spatial data display method.
The technique using varying shades or patterns applied within pre-defined administrative boundaries to show density or average values is a choropleth map.
Choropleth mapping relies on quantitative areal data aggregated by spatial units such as states or districts.
2
Analyze the cartographic limitations of choropleth maps.
Choropleth shading covers entire administrative zones evenly, giving the false impression that values are uniform throughout each zone.
Administrative boundaries rarely align with natural transitions in population density or spatial phenomena.

Key Concept

Choropleth Mapping and Spatial Data Generalization
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