Computes various geospatial indices of socioeconomic deprivation and disparity in the United States

A suite of geospatial software tools and apps for socioeconomic and environmental analysis on coupled human-natural systems (CHANS) from local to global scales

Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Machine Learning", by Dani Arribas-Bel, Jorge Patiño and Juanca Duque

Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

This repository hosts the final project for the Statistical Methods in Data Science & Laboratory 2 exam, as part of the Master’s degree in Data Science at Sapienza University of Rome

Access Mapineq inequality indicators via API

Putting quality of life indicators in Germany on a map

GeoStat is an R Shiny application provides an interactive visualisation of various socio-economic indicators for countries around the world. The app allows users to explore data through a geographic interface and provides insights into global statistics.

Socio-economic indicators are extracted using API and web scraping. The data is analyzed for multiple countries and over time using Python. This project was implemented as part of Intermediate Python Coursework.

Construcción de indicadores socioeconómicos mediante un análisis del Censo de Población y Vivienda 2020, utilizando variables relevantes en modelos predictivos de salud. Con estos indicadores se busca poder determinar las contribuciones relativas de los factores sociales y económicos, en diferentes modelos predictivos relacionados a la salud.

preparation of geo indicators at the national level to be ingested into the UK LLC TRE

Exploratory Data Analysis (EDA) about global demographic and socio-demographic insights

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

a simplified version of the CHR&R county-level snapshot using RShiny

An R-based walkthrough demonstrating how to leverage the tidycensus package to query and analyze U.S. Census data at the census tract and block group level. This project provides reproducible workflows for analyzing demographic and economic data, facilitating socio-ecological analyses across the country and within selected states states.

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR

Descubra quais regiões as estações e linhas de metrô mais influenciam no setor econômico

Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR