ecosystem {bnRep} | R Documentation |
ecosystem Bayesian Network
Description
Evaluating the supply-demand balance of cultural ecosystem services with budget expectation in Shenzhen, China.
Format
A discrete Bayesian network to infer the supply and demand match for cultural ecosystem services. Probabilities were given within the referenced paper. The vertices are:
- Bus
Density of bus and subway stations (Low, High);
- Road
Road density (Low, High);
- Lot
Density of public parking lots (Low, High);
- Traffic
Convenience for tourists to arrive (Low, Medium, High);
- Park
Convenience for visitors after arrival (Low, Medium, High);
- Green
Green space coverage rate (Low, Medium, High);
- Water
Whether there is a water body or not (No, Yes);
- Opportunity
Recreational convenience (Low, Medium, High);
- Potential
Aesthetic value of landscape (Low, Medium, High);
- People
Population density (Low, Medium, High);
- Supply
CES supply of communities (Low, Medium, High);
- Demand
CES demand of communities (Low, Medium, High);
- Budget
Balance of supply and demand (Deficit, Balance, Surplus).
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Wu, J., Jin, X., Wang, H., & Feng, Z. (2022). Evaluating the supply-demand balance of cultural ecosystem services with budget expectation in Shenzhen, China. Ecological Indicators, 142, 109165.