2011
DOI: 10.1016/j.landurbplan.2011.04.005
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Exploring the diversity of urban and peri-urban agricultural systems in Sudano-Sahelian West Africa: An attempt towards a regional typology

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Cited by 107 publications
(123 citation statements)
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“…CATPCA was done using the 23 variables derived from the surveys (Table 1). A component is considered reliable, if it contains a minimum of four variables with component loading score [ 0.6, because a variable with the higher loading score on a given component is the most influential variable, and contributing most to the variation accounted for that component (Abdulkadir et al 2012;Dossa et al 2011). Using this criterion, two principal components with loading score [ 0.6 were found per city (Table 2).…”
Section: Resultsmentioning
confidence: 99%
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“…CATPCA was done using the 23 variables derived from the surveys (Table 1). A component is considered reliable, if it contains a minimum of four variables with component loading score [ 0.6, because a variable with the higher loading score on a given component is the most influential variable, and contributing most to the variation accounted for that component (Abdulkadir et al 2012;Dossa et al 2011). Using this criterion, two principal components with loading score [ 0.6 were found per city (Table 2).…”
Section: Resultsmentioning
confidence: 99%
“…UPA households were selected through the snowball sampling technique (Dossa et al 2011). According to Israel (1992), a sample size of 200 is appropriate for farmers' population between 5000 and 10,000 at 95% confidence level and 7% precision level.…”
Section: Data Collectionmentioning
confidence: 99%
“…(Dossa et al, 2011); ** TLU = tropical livestock unit, hypothetical animal of 250kg live weight; TLU conversion factors used: camel=1, cattle=0.80, sheep and goats=0.10, donkey=0.5; pigs=0.20, poultry and rabbit=0.01. HH = household head; $ US = United States dollar…”
Section: Socioeconomic Surveymentioning
confidence: 99%
“…Categorical principal component analysis (CATPCA) and two-step clustering were used to classify 220 farmers into different groups (Dossa et al, 2011). Since nominal and metric variables were included in the study, CATPCA was used instead of principal component analysis.…”
Section: Data Analysesmentioning
confidence: 99%
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