Skip to main content
Environmental Systems Research

Table 3 Obliquely rotated component loadings

From: Riverbank erosion and migration inter-linkage: with special focus on Assam, India

Variables

Factor component

Communality

First socio-economic

Second demographic

Third socio-demographic

Fourth environmental

Agri_work

.935

.046

− .038

− .057

.893

Ind_work

.924

.011

.033

− .137

.869

Cr_area

.843

.131

.134

− .112

.798

Liv_ pop

.843

− .100

.184

.227

.731

MGI

.028

.997

− .078

− .002

.996

U_ Pop

− .003

.995

− .102

− .028

.993

NGI

.290

− .059

.948

.011

.954

L_ rate

− .161

− .150

.938

.042

.939

Pop_Gr

.099

.093

.314

.820

.789

R_Area

.184

.119

.356

− .721

.682

Eigen Values

3.323

2.251

1.801

1.268

 

% of Variance

33.232

22.513

18.014

12.676

 

Total Variance

   

86.435%

 
  1. Source: Calculated by Author
  2. Extraction Method: Principal Component Analysis
  3. Rotation Method: Oblimin with Kaiser Normalization
  4. Variables used in this study are indicated as NGI (Natural Growth Index), MGI (Migrational Growth Index), L_Rate (Literacy rate), U_Pop (Urban Population growth), Pop_Gr (District Population Growth), Ind_Work (Industrial Workers), Agr_Work (Agricultural Worker), Cr_area (Cropped Area), R_Area (Riverbank Eroded Area), Liv_pop (Livestock Population)
Back to article page