Abstract
Agricultural technician is the direct impetus of agricultural economy. In order to establish an evaluation and prediction model for distribution of agriculture technicians in Guangdong Province, author discuss related theory such as Moran I model and GIS technique. An applicable computing routine was presented in this paper. Based on data from yearbook of agriculture in Guangdong province, we provided some result and conclusions of talent distribution in sample regions. The result reflects the influences of agricultural technicians’ factor to the agricultural economics which may provides decision support for agricultural technicians’ policy.
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