Abdi-Basid ADAN, 2023
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| The Abdi-Basid Courses Institute |
The Abdi-Basid Courses Institute is a fully virtual platform aiming to unveil the engine of science and make it accessible to all. We offer online courses, live sessions, and multimedia content across fields like statistics, climate science, AI, and more. Our mission is to bridge science and society through inclusive, flexible, and engaging learning for students, professionals, educators, and curious minds worldwide.
Multi-Source Climate Data Analysis for Cyclone Tracking, Soil Moisture Dynamics, and Land–Atmosphere Interactions (1987–2022)
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.
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Abdi-Basid ADAN, 2018, 2022
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| The Abdi-Basid Courses Institute |
Comparative study of satellite data and surface air temperature observations
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Abdi-Basid ADAN, 2024
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| The Abdi-Basid Courses Institute |
Comparative study of satellite data and precipitation observations
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Abdi-Basid ADAN, 2023
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| The Abdi-Basid Courses Institute |
Temporal-spatial Meteorological Variability of Drought and Flood Characteristics using in situ observations and Multi- satellites Reanalysis Products over the Republic of Djibouti From 1901 to 2021
The Spatial-temporal studies of drought and flood events was conducted for the first time, using data from 35 rainfall stations, distributed over the 6 districts of the Republic of Djibouti. The drought assessment is based on the SPEI and SPI indices at three time scales (3, 6 and 12 months) during the period 1961 to 2016. Accuracy of the very high resolution satellite product reanalysis was conducted using (CHIRPS), (ERA-5), (PERSIANNCDR), Terra Climate, (CHELSA) for precipitation and (CHIRTS), (CFR), (ERA-5) and Terra Climate for Minimum and Maximum temperature.
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Abdi-Basid ADAN, 2022
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| The Abdi-Basid Courses Institute |
Evolution of the Intelligence of the Human Species
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https://www.impactio.com/laboratory/ABIA?tab=posts
Abdi-Basid ADAN
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| The Abdi-Basid Courses Institute |
Statistical Analysis of Environmental and Climate Data Using Pixel-Wise Multiple Regression, OLS, and Geographically Weighted Regression in the R Programming Language: Application to Vegetation Index (VI) and Land Surface Temperature (LST), Potential Evap
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https://www.impactio.com/laboratory/ABIA-1?tab=publications
Abdi-Basid ADAN, 2025
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| The Abdi-Basid Courses Institute |
Forecast with the Adanic Method
Abstract
In the present study, we expose a new technique of quantitative forecast called Adanique. First of its kind, because it wants to be a newcomer in the classic prediction methods known until today. Generally divided into two, in this case statistical methods (endogenous approach) and econometric methods using a purely exogenous approach. The new so-called adanic forecasting technique uses this double principle to allow a new forecasting approach. The approach of the adanic method and its demonstration on the scientific values are spread out in the sections below.
Keywords: Forecasting, Econometrics, Statistics and Adanic
Conclusion
The adanic forecasting method is both based on the ethical principle of statistical and econometric forecasting. The future estimation of the values of a chronicle indirectly by explanatory variables is the main part of the econometric forecast. With regard to statistics, we are satisfied only with the historical values of the series in question. As a result, indirect and direct prediction is the principle of adanic forecasting. Experience has shown that the result is positive because it has shown a retractability of historical and observed values of the series over the years. On the other hand, it should be recalled that the forecasting indicator did not prove very favorable to adanic forecasting. It must not be thought that there is a magnitude whose reliability is absolute, because the future behavior of a series is primarily random and not deterministic. Can it be that the average of three methods or two methods is also an option for predicting a given magnitude?
Abdi-Basid ADAN
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| The Abdi-Basid Courses Institute |
Modèle à Correction d’Erreur à Equations Simultanées : en Cas Standard et Spatial des Données de Panel
Résumé :
À la suite de la déficience d’un modèle performant de premier plan en économétrie, le monde scientifique semble à jamais opposé sur plusieurs théories économies, parmi lesquelles la courbe de Kuznets Environnementale, l’existence des convergences conditionnelles des économie…etc. Cette crise dont souffre le monde scientifique particulièrement dans le domaine de l’économie m’a poussé à réfléchir sur un nouveau modèle économétrique plus complexe contournant plusieurs défaillances des autres modèles : c’est le modèle à équations simultanées à correction d’erreur standard et spatial des données de panel.
Mots Clés : modèle à équations simultanées à correction d’erreur standard et spatial des données de panel, courbe de Kuznets environnementale.
Conclusion
La réduction en une équation réduite d’un modèle à équations simultanées exigerait une cointégration afin d’en déduire un modèle à correction d’erreur à équations simultanées. Cette approche va certainement proposer des estimateurs encore mieux efficients pour permettre de trancher sur plusieurs articles contradictoires. De plus l’introduction de la matrice des poids dans un tel modèle ne fera que renforcer ses capacités dans la prise en compte des effets spatiaux. Ici, la correction d’erreur est venue avant l’intégration de la matrice des poids. Bien qu’il soit en cours de développement, une équation spatiale à correction d’erreur ou une équation à correction d’erreur spatiale ne serait pas identique. En outre, la prise en compte des aspects plus complexes dans un modèle performant palliant les défaillances des autres modèles permettra de proposer un consensus dans un monde scientifique perplexe. Le modèle par excellence serait celui à correction d’erreur à équations simultanées spatiale ou standard en panel.
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