Open map List

Small Multiple Maps

Small Multiple Maps refer to a series of maps presented in a grid or sequence that share the same design, scale, and geographic extent but vary based on a specific variable, such as time, categories, or data attributes. This visualization technique helps in comparing patterns, trends, or spatial relationships across different conditions.

Intermediate

Introduction

Key Features of Small Multiple Maps:

  1. Consistency: Each map maintains the same geographic area, scale, and design for easy comparison.
  2. Variation in Data: The maps show differences in data variables (e.g., population density over different years, temperature changes across seasons).
  3. Grid or Sequence Layout: Maps are arranged systematically to facilitate visual analysis.
  4. Comparative Analysis: This method allows users to detect trends, spatial patterns, and anomalies across multiple datasets.

This technique is widely used in cartography, data visualization, and geographic information systems (GIS) to convey complex spatial data in an intuitive way.

Examples

Examples of Small Multiple Maps:

  • A series of maps showing temperature changes over different decades.
  • Electoral results across different election years for the same region.
  • Land use changes in an urban area over time.
  • Disease spread across multiple regions over successive weeks.

Outgoing relations