Subnational Administrative Data for Cartogram Extensivity Analysis

A dataset of 3,591 subnational administrative divisions across 34 geospatial variables accompanies a paper on statistical guardrails for web-based cartogram generation. It includes 17 intensive and 17 extensive variables for testing extensivity violations in area cartograms. The data and R analysis pipeline were published by Adi Singhania on figshare under a CC-BY-4.0 license.

Use Cases

• Testing statistical extensivity violations in cartograms based on the provided 34 geospatial variables.
• Benchmarking cartogram generation algorithms using subnational administrative data.
• Analyzing the relationship between intensive and extensive variables across 3,591 administrative divisions.
• Implementing the provided R pipeline for generalized additive modeling of cartogram data.

Strengths

• Contains data for 3,591 administrative divisions, providing a substantial sample for analysis.
• Includes 34 distinct geospatial variables, split evenly between 17 intensive and 17 extensive types.
• Accompanied by a complete R analysis pipeline for replicating the paper's benchmark results.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The 10.3 MB file size suggests a relatively small dataset, potentially limiting the scope of analysis.

Provenance

Source

figshare, accompanying the paper 'Does Your Mapped Variable Add Up? Statistical Guardrails for Web-Based Cartogram Generation'.

Collection Method

Likely compiled from public geospatial and statistical sources for research purposes.

Freshness

Last updated 2026-06-01 07:26:27; freshness should be verified.

Geography

Subnational (admin-1) administrative divisions worldwide.