The Rural Household Multiple Indicator Survey (RHoMIS) has been used to access and analyse data collected from 13,000-plus households from 21 countries. Continue reading
Category Archives: Geodata
A tool for all seasons: A ‘lean’ household survey system for ‘minimal effort, maximum information’ comes of age
Originally posted on ILRI news:
Key indicator groups (modules) generated by all RHoMIS applications (Fig. 1 from: The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries). Out this week is the first public release of a huge dataset generated by recent surveys of more than 13,000 households in 21 countries…
The Rural Household Multi-Indicator Survey set to announce major updates in 2020
From January 2020 onwards the entire RHoMIS system will be upgraded to version 1.6. This update will bring together the various elements of the toolkit into a coherent whole. Continue reading
ILRI and FANRPAN test nutrition data collection in rural communities using pictography
the Food Agriculture and Natural Resources Policy Analysis Network (FANRPAN) and ILRI are collaborating in the ‘Improving Dietary and Health Data for Decision-making in Agriculture and Nutrition Actions in Africa’ project, which is developing, evaluating and introducing cost-efficient and scalable solutions for measuring dietary intake and health indicators to track nutrition and health outcomes and their progress at community and national levels in Kenya. Continue reading
Strengthening African research infrastructure for greenhouse gas observations
Originally posted on Mazingira Centre:
The socio-economic conditions of Africa have continued to undergo massive and rapid transformation due to factors such as urbanization and population growth. The adverse effects of climate change on the continent have also intensified, necessitating the design of context-specific strategies to ensure food security and environmental sustainability. In this regard,…
Animal populations counted using satellites for the first time
Knowledge of population dynamics is essential for managing and conserving wildlife. Traditional methods of counting wild animals such as aerial survey or ground counts not only disturb animals, but also can be labour intensive and costly. New, commercially available very high-resolution satellite images offer great potential for accurate estimates of animal abundance over large open … Continue reading
Livestock Geo-Wiki: Maps for a safer and more equitable livestock sector
This poster highlights recent efforts to bring together and disseminate spatial data relating to the global livestock sector in the Livestock Geo-Wiki , which is being developed by a group of international organizations and universities. Continue reading
Tim Robinson presents livestock production systems data at Global Agenda for Sustainable Livestock meeting
On 7- 10 October 2014, the agenda held the fifth Multi-stakeholder platform (MSP) meeting in Colombia. Tim Robinson, a senior spatial analysis and statistician at ILRI participated in the meeting in which he delivered two presentations focusing on the Global Research Alliance on agricultural greenhouse gases (GRA), an animal health and greenhouse gas emissions intensity network; and on the Livestock Geo-Wiki manure management module. Continue reading
Generating and sharing more and better data critical to determine resilience in drylands
At the recent ‘2020 resilience’ event in Addis Ababa, scientists from the International Livestock Research Institute (ILRI) organized a side event on ‘measuring and evaluating resilience in drylands of East Africa.’ Panelists from ILRI and the World Agroforestry Centre (ICRAF) shared findings on ways to measure and evaluate resilience. Continue reading
Mapping the distribution and abundance of the world’s livestock: New global datasets published
The International Livestock Research Institute (ILRI), the Food and Agriculture Organization of the United Nations (FAO), the Environmental Research Group Oxford (ERGO), the University of Oxford and the Université Libre de Bruxelles (ULB) joined forces to map the global distribution and abundance of livestock. These new datasets are freely accessible through a Livestock-Geo-Wiki, a site maintained by our collaborators at the International Institute for Applied Systems Analysis (IIASA). Continue reading