Figures & data
Table 1. Examples for national or regional definitions for sparseness and remoteness (Source: Authors’ own compilation).
Figure 1. First-tier subnational units ranked on a log scale by population density (Source: Authors’ calculations based on data by GlobalDataLab.).
![Figure 1. First-tier subnational units ranked on a log scale by population density (Source: Authors’ calculations based on data by GlobalDataLab.).](/cms/asset/a5f4e7bb-ecfd-479a-8bd9-42913c37ebb2/rgab_a_2103445_f0001_oc.jpg)
Figure 2. First-tier subnational (sparsely populated) jurisdictions below 4 persons/km2 density (Source: Calculation and cartographic design by the authors. ArcGIS shapefile provided by GADM).
![Figure 2. First-tier subnational (sparsely populated) jurisdictions below 4 persons/km2 density (Source: Calculation and cartographic design by the authors. ArcGIS shapefile provided by GADM).](/cms/asset/292e7655-35b2-4c23-80f3-42a01d7f1693/rgab_a_2103445_f0002_oc.jpg)
Table 2. Indicators for first-tier subnational units in the survey (Source: authors’ own).
Table 3. The extracted principal components (Source: Authors’ own calculations).
Figure 5. Three main types (clusters) of socio-economic patterns associated with SPAs (Source: Authors’ own calculations).
![Figure 5. Three main types (clusters) of socio-economic patterns associated with SPAs (Source: Authors’ own calculations).](/cms/asset/708c21ff-fbd1-4874-9594-a72eac737cfd/rgab_a_2103445_f0005_oc.jpg)
Table 4. Main characteristics of the three clusters and SPAs in general (Source: Authors’ own calculation).
Figure 6. Cluster plot demonstrating the analysed units within the two dimensional factor-space (Source: Authors’ own).
![Figure 6. Cluster plot demonstrating the analysed units within the two dimensional factor-space (Source: Authors’ own).](/cms/asset/f6acf5bb-4d26-4869-9497-3d87d72b3b25/rgab_a_2103445_f0006_oc.jpg)