This project aims to analyze global temperature data over the years to identify trends, patterns, and anomalies.

This project aims to investigate temperature changes over time and predict future temperature patterns on a regional and global scale. We employ time series forecasting methods, including neural networks, ARIMA, and SARIMAX, using the GISTEMP v4 dataset from NA

Exploring deaths by natural disasters, and possible relations to climate change.

Shiny app calculating linear trends in global temperatures

[Paper] Basic signal processing on global temperature to form my own opinion concerning the climate warming

Wolfram Mathematica programming project to practice manipulation and visualization of datasets.

Visualizes 'Co2 Emissions' and 'Global Temperature' as a graph.

A set of exploratory and forecasting methods conducted on multiple datasets concerning global warming variables, utilizing Python

Demonstração de Criação e Análise de Suavização de Médias Móveis Simples e Centralizada em séries temporais.

Global surface temperature layers are interpolated based on a point measurement data set of the worldwide surface temperature, which has been recorded since 1950. For the spatial interpolation, an universal Kriging approach is applied with additional layers for the continentality, the atmospheric distance, the North-South topographic gradient an…

Time series analysis is performed on the Berkeley Earth Surface Temperature dataset.

This project will show the time series analysis of Global Temperature Dataset which is from 1900 - 2013. It has been build in R programming Language..

MAPS fellowship presentation - May 2018 - Global Warming Hiatus Statistics

📰 Data (and some R code) behind NY Times feature https://www.nytimes.com/interactive/2018/01/21/world/year-in-weather.html#pwm w/some R code