Open map List

Dasymetric Map

A dasymetric map is a type of thematic map that improves spatial accuracy by redistributing statistical data (such as population or land use) based on meaningful geographic boundaries rather than arbitrary administrative divisions. It provides a more precise representation of data distribution than traditional choropleth maps.

Intermediate

Introduction

Key Characteristics of a Dasymetric Map:

  • Uses ancillary data (e.g., land cover, elevation, infrastructure) to refine data distribution.
  • Avoids misleading uniform distribution within administrative boundaries.
  • More accurately represents population density, land use, and environmental data.

Explanation

How a Dasymetric Map Works:

  1. Start with coarse geographic units (e.g., census tracts, districts).
  2. Incorporate additional data layers (e.g., satellite imagery, zoning, terrain).
  3. Redistribute the data to exclude uninhabitable or non-relevant areas (e.g., forests, lakes, industrial zones).
  4. Visualize the refined data with appropriate color or shading.

Comparison: Dasymetric vs. Choropleth Map

Feature Dasymetric Map Choropleth Map
Data Distribution Adjusted for real-world features Uniform within boundaries
Accuracy Higher (excludes non-relevant areas) Lower (assumes equal distribution)
Use Case Population, land use, environmental analysis Generalized demographic or statistical data

Examples

Examples of Dasymetric Mapping Applications:

  • Population Distribution Mapping: Adjusts census data based on where people actually live (e.g., excluding water bodies, parks, and industrial areas).
  • Environmental Studies: More accurately represents land cover types (e.g., deforestation, pollution).
  • Disaster Risk Assessment: Shows affected populations more precisely than traditional methods.
  • Urban and Regional Planning: Helps planners allocate resources based on refined density estimates.

Outgoing relations