Data and code for the paper: "Soil Aptitude for Livestock (SAFL): A Dataset for Brazilian Municipalities"

Published: 27 January 2025| Version 1 | DOI: 10.17632/rnrd8f7bxb.1
Contributor:
felipe morelli

Description

1. Step 1 (step1.py): Generates an image illustrating how to identify and classify soil composition on a municipality-by-municipality basis. 2. Step 2 (step2.py): Calculates the SAFL index for each municipality and stores the resulting data frame as a `.shp` file in the `output` folder. 3. Step 3 (step3.py): Uses the previously created database to produce a map of Brazil, highlighting the municipalities most suitable for livestock production.

Files

Institutions

Universidade de Brasilia

Categories

Econometrics, Soil, Panel Data, Brazil

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior

Licence