Meteorological Variable Relationships and Regression Analysis

The objective of this project is to identify relationships between various meteorological variables. This pursuit has two main goals: first, to explore correlations and the significance of relationships between climatic factors; second, to build and compare multiple linear regression models to determine the most relevant predictors of rainfall. This approach allows testing variable selection methods and performance criteria (adjusted R², MSE, AIC, Mallows’ Cp, etc.) in a controlled setting, providing a pedagogical exercise and a methodological foundation transferable to real-world climate data analysis.

🎯 The detailed methodology and results can be accessed through this link:

👉click here now!: https://rpubs.com/abdibasidadan/regression

Abdi-Basid ADAN, 2025

The Abdi-Basid Courses Institute

Visualizing SRTM-NASA DEMs in ArcGIS: Practical Examples

🔗 Please Read it here https://abdibasidadan.medium.com

🔗 Where to watch the tutorial : https://www.youtube.com

Abdi-Basid ADAN, 2025

The Abdi-Basid Courses Institute

Multi-Source Climate Data Analysis for Cyclone Tracking, Soil Moisture Dynamics, and Land–Atmosphere Interactions (1987–2022)

🔗 Description Read it here: https://abdibasidadan.medium.com

Abdi-Basid ADAN, 2023

The Abdi-Basid Courses Institute

Temporal and Spatial Assessment of temperature and precipitation over Djibouti (1961–2017)

The study area covers the capital of the Republic of Djibouti (Lat: 11.33 and long: 43.50), located to the southwest. A province of Africa in which climate change is impacting rural populations. The work of (Ozer and Ayan, 2013) describes it. The temporal evaluation will be limited only to the capital. The station at Djibouti International Airport provides historical data on precipitation and min and max temperature. The spatial framework covers the five regions of the Republic of Djibouti, including Tadjourah, Dikhil (Lat: 11.10 and Long: 42.37), Ali-Sabieh (Lat: 11.15 and Long: 42.70), Arta (Lat: 11.50 and Long: 42.83) and Obock (Lat: 11.97 and Long: 43.28). We analyze a daily historical base of the station of the international airport of Djibouti (Lat: 11.33 and long: 43.50). For precipitation, the daily series is between 1980 and 2017. We also had another series of data from 1950 to 1970. For lack of more than 10 years of information, the latter is neglected. The monthly precipitation ranges from 1961 to 2017. With regard to temperature, the daily data series is studied between 1966 to 2009. We also have the same monthly series from 1961 to 2017.