Guide for developing socioeconomic maps

Inter-American Development Bank

The Guide to Creating Socioeconomic Maps is a markup language manual that uses R to produce maps using geolocated information from satellite images or other sources. This document covers from the preprocessing of the information to the final calculation of the map. This guide was developed to facilitate access to creating socioeconomic maps using free geolocated data. It is shared to extend its methodology and support political decision-making through the efficient use of maps.

The Socioeconomic Mapping Guide solves the complexity of generating detailed maps using geolocated data. It facilitates the process from data collection to visualization, supporting effective policy decision-making.

Comprehensive Tutorials: The guide offers step-by-step tutorials and best practices for spatial modeling using open-source tools and software. Data Preparation: Users can learn how to prepare and clean geospatial data for analysis. Spatial Analysis Techniques: The guide covers a range of spatial analysis techniques, including spatial autocorrelation, interpolation, and geostatistics. Population Modeling: Users can explore methodologies for modeling population distribution and density. Welfare Indicators: The guide includes tutorials on modeling welfare indicators and their spatial distribution. Customization: Users can adapt the techniques and tools to their specific research or policy analysis needs. Documentation: Comprehensive documentation available on the guide's website assists users in understanding and implementing spatial modeling techniques effectively.

Technical guide using Docker, Makefile, and Jupyter Notebooks for environment setup. Includes R functions for managing dependencies. Presented as a static website using HTML, CSS, and JavaScript.