By Bradford Mills

ISBN-10: 9291180408

ISBN-13: 9789291180400

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It can also help researchers examine the potential spillover of technologies developed in other locations. This chapter discusses two main issues related to spatial targeting of research programs: 1. approaches and information bases for developing spatial classifications 2. the potential role of GIS and other tools in spatial classifications The KARI soil fertility and plant nutrition program provides an example of how such target zones can be delineated and classified. The exercise at the end of the chapter helps research managers identify tools and information bases that might be used for targeting the research programs in their organization.

Furthermore, discounts are often available for organizations in developing countries and in teaching and research institutions. To be most flexible it is preferable to have both systems in order to manage and interface both vector and raster data. In terms of computer hardware, several of the GIS packages referred to above—ARC/INFO, ARC/VIEW, and ERDAS—have both workstation and personal computer (PC) versions. However, GIS databases need a lot of hard-disk space. It is not uncommon for a single raster file to occupy 30 to 50 megabytes.

A map of the zones that emerged from the analysis is in figure 8. Rainfall: Areas where moisture availability is a serious constraint to agriculture production are identified as receiving between 200 mm and 900 mm of rainfall per year. All other primary areas for agricultural production receive more than 900 mm of rainfall per year. Elevation: Elevation is included to demarcate major differences in production systems in the medium and higher elevation areas. Medium elevation areas (400 - 1800 m) with more than 900 mm of annual rainfall are traditional smallholder systems located in the Lake Victoria basin and on the lower slopes of Mt.

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Agricultural Research Priority Setting: Information Investments for the Improved Use of Research Resources by Bradford Mills


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