SIM2 climate data

A tutorial showing how to visualize monthly temperature anomalies for French cities using MétéoFrance's SIM2 dataset (1970–2025). The workflow uses R packages including {terra} for raster grid creation, {osmdata} for geocoding via Nominatim, and {ggplot2} for plotting. The code retrieves an 8 km resolution grid, extracts temperatures at a given location, computes anomalies relative to the 1991–2020 baseline, and renders bar charts with a LOESS trend line. Full code is provided for generating per-month charts for any geocodable city.

Nguồn: https://www.r-bloggers.com/2026/06/sim2-climate-data. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.

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stick function for the EDA in time series

A new stick function (Seasonal, Trend, Irregular Contribution Kit) has been added to the greybox package for both R and Python. Based on Hans Levenbach's STI classification, it uses ANOVA to quantify the strength of seasonal, trend, and irregular components in a time series. Applied to the classic AirPassengers dataset, it reveals that trend accounts for ~86% of variability. The function supports multiple seasonal components and may be extended to include external regressors in the future.

#data-science#r#exploratory-data-analysis