Data for: Geographic factors predict wild food and nonfood NTFP collection by households across four African countries.

Name: Data for: Geographic factors predict wild food and nonfood NTFP collection by households across four African countries.
Creator: Matthew Cooper
Published: 2018-11-02T14:39:44.330Z
Keywords: Geography, Forestry, Environment (Patient Social Context)

Cooper, Matthew; Tusiime, Felly; Noon, Monica; González-Roglich, Mariano; Nyiratuza, Madeleine; Zvoleff, Alex; Alele, Peter; Musumba, Mark

doi:10.17632/z72grcxdc6.1

Data for: Geographic factors predict wild food and nonfood NTFP collection by households across four African countries.

Published: 2 November 2018| Version 1 | DOI: 10.17632/z72grcxdc6.1

Contributors:

Matthew Cooper, Felly Tusiime, Monica Noon, Mariano González-Roglich, Madeleine Nyiratuza, Alex Zvoleff, Peter Alele, Mark Musumba

Description

This consists of data from from the Vital Signs project (vitalsigns.org) as well as geographic data extracted from various public datasets. Geographic data was extracted using the scripts "Extract_SPI.R" and "pg_connect.py" and all data was brought together and analyzed in "NTFP_use.r".

Data for: Geographic factors predict wild food and nonfood NTFP collection by households across four African countries.

Description

Files

Categories

Licence