china_temp_monthly.int: China Monthly Temperature Intervals (15 Stations)

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

China Monthly Temperature Intervals (15 Stations)

Description

Interval-valued dataset of monthly temperature ranges for 15 weather stations in China. Each station has 12 monthly temperature intervals (minimum and maximum observed temperatures in degrees Celsius) and an elevation value in meters.

Usage

data(china_temp_monthly.int)

Format

A symbolic data frame (symbolic_tbl) with 15 observations (weather stations) and 13 variables:

• January, February, March, April, May, June, July, August, September, October, November, December: Interval-valued monthly temperature ranges (degrees Celsius).

• Elevation: Station elevation above sea level (numeric, meters).

Row names are station names (e.g., BoKeTu, Hailaer, LaSa).

Metadata

Sample size (n)	15
Variables (p)	13
Subject area	Climate
Symbolic format	Interval
Analytical tasks	Clustering

Source

Billard, L. and Diday, E. (2020), Table 7-9.

References

Billard, L. and Diday, E. (2020). Clustering Methodology for Symbolic Data. Wiley, Chichester. Table 7-9.

Examples

data(china_temp_monthly.int)

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