Agriculture Reference
In-Depth Information
8. Technical improvements, such as geographical information systems and
remote sensing, self-reporting systems, and automated and integrated com-
puter-based data-gathering techniques, would be needed to make indicator
data more reliable and cost-effective in the long term.
9. Both community-driven and researcher-based indicators were useful
because the two suites provided complementary but fundamentally differ-
ent information. Because communities often lack the capacity to develop
and measure quantitative indicators, while researchers and policymakers
lack the knowledge and mandate to make value-based judgments, it seems
that decision support systems for such integrated and adaptive approaches
as sustainability and AESH should include both components to provide a
balanced assessment.
10. MCA (multiple correspondence analysis) was useful in summarizing and
presenting indicator data for two reasons: (1) the incorporation of targets
and thresholds in the process of categorizing the indicators, thus providing
an intuitive interpretation, and (2) projection of data from the initial and
subsequent measurements into a multidimensional space.
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