china_climate_month.hist: Chinese Climate Monthly Histogram Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

Chinese Climate Monthly Histogram Dataset

Description

Histogram-valued monthly climate data for 60 Chinese weather stations. Each station has 14 climate variables measured across 12 months (168 histogram columns total). Histograms are reduced to 10 decile bins from the original HistDAWass distributions.

Usage

data(china_climate_month.hist)

Format

A data frame with 60 observations (stations) and 168 histogram-valued variables. Variables follow the pattern variable_Month (e.g., mean.temp_Jan). The 14 climate variables are: mean pressure, mean temperature, mean max/min temperature, total precipitation, sunshine duration, mean cloud amount, mean relative humidity, snow days, dominant wind direction, mean wind speed, dominant wind frequency, extreme max/min temperature.

Metadata

Sample size (n)	60
Variables (p)	168
Subject area	Climate
Symbolic format	Histogram
Analytical tasks	Clustering

Source

HistDAWass R package (China_Month dataset).

References

Irpino, A. and Verde, R. (2015). Basic statistics for distributional symbolic variables: a new metric-based approach. Advances in Data Analysis and Classification, 9(2), 143–175.

Original data from the HistDAWass R package (China_Month dataset).

Examples

data(china_climate_month.hist)

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