Your search found 5 records
1 Angrist, J. D.; Pischke, J. S. 2009. Mostly harmless econometrics: an empiricist's companion. Princeton, NJ, USA: Princeton University Press. 373p.
(Location: IWMI HQ Call no: 330.015195 G000 ANG Record No: H042985)
(0.30 MB)
2 Dooley, J. F. 2005. An inventory and comparison of globally consistent geospatial databases and libraries. Rome, Italy: FAO. 177p. (FAO Environment and Natural Resources Working Paper No. 19)
GIS ; Spatial database ; Databases ; Libraries ; Surveys ; Terminology ; Statistical data ; Data analysis ; Poverty ; Food insecurity ; Mapping ; Transport ; Mathematical models ; Geology ; Geomorphology ; Hydrogeology ; Soils ; Hydrology ; Drainage ; Watersheds ; Satellite imagery ; Land cover ; Vegetation ; Climatic data ; Agroecology ; Assessment ; Agricultural production
(Location: IWMI HQ Call no: 910.285 G000 DOO Record No: H044234)
This report presents an inventory of global data sources which can be used to provide consistent geospatial baselines for core framework data layers in the support of generalized base mapping, emergency preparedness and response, food security and poverty mapping. In the report, only globally consistent data sources at the scales of 1:5 million or larger for vector data and a nominal pixel size of 5 arc minutes or higher resolution for raster data, were considered. The sources of data presented in the inventory were identified based on a review of on-line Internet resources conducted in the first quarter of 2004 and updated in January 2005.The inventory is divided into two parts: with Part One of the inventory presenting overview, terminology and summary sections of globally consistent data libraries; while Part Two contains a categorization of the data sources identified broken into topical subsections based on the individual core data layers specified by UNGIWG and FAO. The report also includes a matrix rating the suitability of the various data sources identified to each of the core data layers specified by UGIWIG and FAO, and introduces Virtual Base Maps as a potential cost-effective means for: providing spatial referencing to remote field offices, enhancing Internet map serving capabilities, and facilitating mapping via GPS handheld devices.
3 Sri Lanka. National Science Foundation. 2015. Sri Lanka Science and Technology Statistical Handbook 2013. Colombo, Sri Lanka: National Science Foundation. 55p.
Statistical data ; Financing ; Research and development ; National expenditure ; Human resources ; Sciences ; Technology ; Performance indexes ; Socioeconomic development ; Demography ; Indicators ; Educational institutions
(Location: IWMI HQ Call no: 310 G744 SRI Record No: H047937)
4 Khamala, E. 2017. Review of the available remote sensing tools, products, methodologies and data to improve crop production forecasts. Rome, Italy: FAO. 94p.
Remote sensing ; Crop production ; Yield forecasting ; Crop modelling ; Early warning systems ; Drought ; Rain ; Global observing systems ; GIS ; Satellite observation ; Satellite imagery ; Microwave radiation ; Maps ; Statistical data ; Agricultural statistics ; Vegetation index ; Indicators ; National organizations ; Agencies / Africa South of Sahara / Kenya / Senegal / Zimbabwe
(Location: IWMI HQ Call no: e-copy only Record No: H048227)
(1.80 MB) (1.80 MB)
5 Stein, C.; Barron, Jennie. 2017. Mapping actors along value chains: integrating visual network research and participatory statistics into value chain analysis. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Research Program on Water, Land and Ecosystems (WLE). 24p. (WLE Research for Development (R4D) Learning Series 5) [doi: https://doi.org/10.5337/2017.216]
Value chain ; Supply chain ; Mapping ; Participatory approaches ; Statistical data ; Social aspects ; Cost analysis ; Communities ; Markets ; Production structure ; Agricultural production ; Agricultural trade ; Relationships ; Livestock ; Surveys ; Case studies / Burkina Faso
(Location: IWMI HQ Call no: IWMI Record No: H048396)
(3 MB)
This report outlines a participatory approach for mapping actors along value chains. The methodology provides novel ideas on how to combine value chain analysis with participatory statistics and visual network research approaches, to generate valuable insights about complex value chains together with local stakeholders in a cost effective way. A framework is introduced, which provides a canvas for mapping actors onto different analytical dimensions relevant in value chain analysis. After outlining some of the conceptual foundations and the methodological approach, a sequence of steps for mapping actors and their relationships is described. The experience from a case study is used to illustrate the steps involved. The case study is on fodder value chains in the Sahelian agro-ecological zone of Burkina Faso, but the mapping approach can be adapted to a range of contexts.
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