ecosystem | R Documentation |
Evaluating the supply-demand balance of cultural ecosystem services with budget expectation in Shenzhen, China.
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:
Density of bus and subway stations (Low, High);
Road density (Low, High);
Density of public parking lots (Low, High);
Convenience for tourists to arrive (Low, Medium, High);
Convenience for visitors after arrival (Low, Medium, High);
Green space coverage rate (Low, Medium, High);
Whether there is a water body or not (No, Yes);
Recreational convenience (Low, Medium, High);
Aesthetic value of landscape (Low, Medium, High);
Population density (Low, Medium, High);
CES supply of communities (Low, Medium, High);
CES demand of communities (Low, Medium, High);
Balance of supply and demand (Deficit, Balance, Surplus).
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.