Table 1 Description and pre-processing of variables
Variable types | Variable categories | Variable names | Variable description | Abbreviations | Units | Sig. | VIF |
|---|---|---|---|---|---|---|---|
Dependent variable | – | Concentration of HRS | Density of HRS within a specified area. | CHRS | \(HRS/km^{2}\) | – | – |
Independent variable | Natural indicators | Elevation | The average elevation of the entire HRS area. | ELV | m | 0.000 | 8.869 |
Slope | The average slope within each 30\(\hbox {m}^{2}\) area across the entire HRS region. | SLP | \(^\circ\) | 0.000 | 14.046 | ||
Topographical relief | Change in elevation per \(\hbox {km}^{2}\). | TR | \(m/km^{2}\) | 0.000 | 14.063 | ||
Total precipitation | Total precipitation sum over 12 months within a specified area. | TP | mm | 0.000 | 9.206 | ||
Annual average temperature | Average temperature over 12 months within a specified area. | AAT | \(^\circ F\) | 0.000 | 1.327 | ||
Distance from the Ancient Paths | Minimum Euclidean distance from HRS to the Ancient Path. | DAP | m | 0.000 | 1.227 | ||
Distance from surface runoff | Minimum Euclidean distance from HRS to surface runoff. | DSR | m | 0.000 | 1.122 | ||
Socio-economic indicators | Potential crop yield | Maximum yield of cereal crops that can be produced per hectare of land annually. | PCY | kg/ha | 0.000 | 2.273 | |
Gross domestic product | Gross Domestic Product(GDP) per \(\hbox {km}^{2}\). | GDP | 10,000 \(CNY/km^{2}\) | 0.000 | 3.878 | ||
Population density | Number of people per \(\hbox {km}^{2}\). | PD | \(Person/km^{2}\) | 0.000 | 4.449 | ||
Road density | Total length of roads per \(\hbox {km}^{2}\). | RD | \(km/km^{2}\) | 0.000 | 2.259 | ||
Concentration of large cities | Density of large cities within a specified area. | CLC | \(LC/km^{2}\) | 0.000 | 2.627 | ||
Concentration of cultural heritage units | Density of cultural heritage units within a specified area. | CCHU | \(CHU/km^{2}\) | 0.000 | 1.580 |
