By contrast, CIT model allows all variables of interest into the algorithm and has an excellent discriminatory ability to prioritize predictors for ESV, which provides a robust supplement to the traditional multivariate linear models. 4.2. Limitations and future work The synergistic effect of multiple ...
In the future, we will supplement a large number of relevant in-depth fieldwork data to improve the assessment of the development potential of recreation resources of urban forests. Future research can explore more scientific recreational service evaluation techniques by combining other types of data,...