china_climate_season.hist: Chinese Climate Seasonal Histogram Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

Chinese Climate Seasonal Histogram Dataset

Description

Histogram-valued seasonal climate data for 60 Chinese weather stations. Each station has 14 climate variables measured across 4 seasons (56 histogram columns total). Histograms are reduced to 10 decile bins from the original HistDAWass distributions.

Usage

data(china_climate_season.hist)

Format

A data frame with 60 observations (stations) and 56 histogram-valued variables. Variables follow the pattern variable_Season (e.g., mean.temp_Spring). 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)	56
Subject area	Climate
Symbolic format	Histogram
Analytical tasks	Clustering

Source

HistDAWass R package (China_Seas 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_Seas dataset).

Examples

data(china_climate_season.hist)

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