Hierarchical clustering and partitioning to characterize shrimp grow-out farms in northeast Brazil
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文摘

identify trends in Northeast Brazil shrimp farming using national census data for better management and policy-making;

analysis of data from multiple correspondence analysis for partitional clustering through the FactoMiner package;

identify clusters of farms to characterize trends in management and production and the farmer’s general views and concerns;

differences in farm management and production were observed among what were initially thought of as similar types of farms;

micro-scale farms reveal varying satisfaction for farm inputs and general concerns.

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