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finance$9 one-offfinanceglobalacción contra el hambre - gis4techagriculture-livestockclimate-weathergovernance and civil society

Sahel - Abnormal Herd Movements Prediction

The model trains with the actual data of the variables to be predicted and uses their correlation with agroclimatic indicators, biomass, and violence to predict said variable where there is no actual data, at the level of Commune/Municipality for all of Senegal and Mauritania. This information belongs to the Food and Nutrition Security Monitoring and Prediction System in the Sahel (PREDISAN) Project, funded by the Agencia Andaluza de Cooperación Internacional para el Desarrollo (AACID) and the University of Granada (UGR). The PREDISAN AI-SAHEL Project focuses on the Monitoring and Prediction System for Humanitarian Vulnerability of Pastoral and Agro-pastoral Populations in the Western Sahel, based on GIS Analysis and Artificial Intelligence. For more information, contact GIS4Tech at info@gis4tech.com or visit the PREDISAN platform at https://predisan.gis4tech.com/sahel. Publisher: Acción Contra el hambre - GIS4tech (via Humanitarian Data Exchange (UN OCHA)). Delivered as a cleaned, analysis-ready CSV table.

Rows
0
Columns
0
File size
2.65 MB
Source
Acción Contra el hambre - GIS4tech

Preview

First 0 rows, exactly as they appear in the file.

Schema

0 columns and 0 rows, with the detected type and missing-value count for each column.

ColumnTypeMissing values

Source & licence

Source
Acción Contra el hambre - GIS4tech
Extracted
10/17/2026, 1:40:46 PM
Detected format
text/csv

Version 1: Listed from the publisher's open-data release.

Original source: data.humdata.org · Creative Commons Attribution International (CC BY)