Catherine Pfeifer - WordPress.com...Catherine Pfeifer Big Data convention 22.09.2017 Cali, Colombia...
Transcript of Catherine Pfeifer - WordPress.com...Catherine Pfeifer Big Data convention 22.09.2017 Cali, Colombia...
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Catherine Pfeifer
Big Data convention
22.09.2017
Cali, Colombia
Spatial work at ILRI
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Overview
• Index based livestock insurance
• DHS : investigating patterns of livestock ownership
• CLEANED : spatially explicit ex-ante environmental simulation tool of intensifying livestock value chains
• Technoserve : near real time livestock monitoring in drylands with drones and high resolution satellite images
• Towards near real time livestock disease risk mapping
• Capacity development
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Index based livestock insurance (ibli)
Piloting in Ethiopia, preparation for the expansion in Uganda
Understand palatability of
vegetation
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DHS (Demographic health surveys) : gettinglivestock related insight 1
Spatio-temporal analysis of livestock keepers
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DHS : getting livestock related insight 2
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DHS : getting livestock related insight 3
Gender context map for targeting
Integration of OECD data with DHS to define gendercontexts to access
value chains.
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DHS : getting livestock related insight 4
What’s next?
• Spatio-temporal dynamics in selected countries
• Understanding youth engagement in agriculture
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CLEANED approach : towards sustainablevalue chain development
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CLEANED tool : spatially explicit ex ante environemental impact assessement
Environmental dimensions :
1. Water
2. Greenhouse gas
3. Biodiversity
4. Nitrogen balance
R-shiny interface live by November
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Monitoring livestock from the sky (withTechnoserve)
Comparing drone and high resolution sateliteimages
Investigating the use of communication data to predict livestock markets in dryland
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Towards near real time livestock diseaserisk mapping
A viral zoonosis associated with febrile illness in humans and widespread abortions in livestock
Methods: o Machine learning algorithms – mainly
Random forest and Boosted regression trees
o Data – surveillance data on RVF and a range of GIS data layers
Key drivers: o Above-normal and persistent rainfallo Flat terrain o Low altitudeo High temperature
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Capacity development
Virtual GIS lab for Somaliland
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This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
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