Saint Paul, United States
The Malawi Market Segmentation Dashboard is an interactive tool that uses hyper-curated LSMS-ISA Wave 3, Wave 4 & Wave 5 data, along with other 3rd party data (e.g., climate, population, elevation) to spatially characterize farmers, farms and their farming practices and enables users to identify target market sheds.
It is a joint venture between GEMS agroinformatics, CAT and Venture37 on behalf of The Foundation for a smoke-free world.
The mission of the Foundation's Agricultural Transformation Initiative (ATI) is to prepare smallholder tobacco farmers for an era of significantly reduced demand for tobacco, focusing first on populations with the greatest need.
The Malawi Market Segmentation Dashboard is an interactive tool that uses hyper-curated LSMS-ISA Wave 3, Wave 4 & Wave 5 data, along with other 3rd party data (e.g., climate, population, elevation) to spatially characterize farmers, farms and their farming practices and enables users to identify target market sheds.
The Malawi Market Segmentation Dashboard is an interactive tool that uses hyper-curated LSMS-ISA Wave 3, Wave 4 & Wave 5 data, along with other 3rd party data (e.g., climate, population, elevation) to spatially characterize farmers, farms and their farming practices and enables users to identify target market sheds.
The Malawi Market Segmentation Dashboard is an interactive tool that uses hyper-curated LSMS-ISA Wave 3, Wave 4 & Wave 5 data, along with other 3rd party data (e.g., climate, population, elevation) to spatially characterize farmers, farms and their farming practices and enables users to identify target market sheds.
The Malawi Market Segmentation Dashboard is an interactive tool that uses hyper-curated LSMS-ISA Wave 3, Wave 4 & Wave 5 data, along with other 3rd party data (e.g., climate, population, elevation) to spatially characterize farmers, farms and their farming practices and enables users to identify target market sheds.
The Malawi Market Segmentation Dashboard is an interactive tool that uses hyper-curated LSMS-ISA Wave 3, Wave 4 & Wave 5 data, along with other 3rd party data (e.g., climate, population, elevation) to spatially characterize farmers, farms and their farming practices and enables users to identify target market sheds.
