temperature_city.int: World Cities Monthly Temperature Interval Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

World Cities Monthly Temperature Interval Dataset

Description

Interval-valued monthly temperatures for major cities worldwide. Benchmark dataset for comparing distance measures (Hausdorff, L2, Wasserstein) in dynamic clustering algorithms.

Usage

data(temperature_city.int)

Format

A data frame with 6 observations and 13 columns (6 monthly interval variables in _l/_u Min-Max pairs, plus a label). Only January through June are included:

• city: City name (character).

• jan_l, jan_u: January temperature range (degrees Celsius).

• feb_l, feb_u: February temperature range.

• mar_l, mar_u: March temperature range.

• apr_l, apr_u: April temperature range.

• may_l, may_u: May temperature range.

• jun_l, jun_u: June temperature range.

Details

Expert partition into 4 classes: Class 1 (tropical/warm), Class 2 (temperate European and Asian), Class 3 (Mauritius), Class 4 (Tehran).

Metadata

Sample size (n)	6
Variables (p)	13
Subject area	Climate
Symbolic format	Interval
Analytical tasks	Clustering

References

Verde, R. and Irpino, A. (2008). A new interval data distance based on the Wasserstein metric. Proc. COMPSTAT 2008, pp. 705-712.

Examples

data(temperature_city.int)

dataSDA documentation built on June 12, 2026, 9:06 a.m.