Candidate variables used to model likelihood of site visitation by recreationists.

Figshare2016-11-10 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/Candidate_variables_used_to_model_likelihood_of_site_visitation_by_recreationists_/4221465 数据链接链接失效反馈

官方服务：

资源简介：

Candidate variables used to model likelihood of site visitation by recreationists.

创建时间：

2016-11-10

Model fitting index.

垃圾分类行为

环境行为建模

Waste classification helps to maximize the recovery of resources, reduce environmental pollution and promote sustainable economic development. To improve the willingness of rural residents to classify

Figshare2024-05-09 更新30

RAW dataset Waste(ing) trekking areas - anonymous - FINAL.sav

徒步废弃物管理

环境行为建模

This file includes all respondents that have been used for the research. This data was gathered by using a quantitative survey that was spread in Facebook groups regarding trekking.Variable 5 until 25

Figshare2021-04-06 更新20

Individual predictor coefficients for the binary logistic regression model predicting participation in climate activism.

环境行为建模

回归分析

Individual predictor coefficients for the binary logistic regression model predicting participation in climate activism.

Figshare2023-08-23 更新20

Results from linear regression analysis examining the relationship between Total Distance Traveled to Parks and Time Spent in Parks (response variables) and the predictor variables for opportunity (% Park cover), orientation (NR score), and time spent in the yard as a moderating factor.

可达性分析

环境行为建模

Each line represents a different model, with each % Park cover buffer analyzed in a separate model analysis. Akaike's Information Criterion (AIC) is provided to compare between the models with differe

NIAID Data Ecosystem30

Regression models of biodiversity knowledge and conservation support as a function of both green-space visitation rates (countryside and urban green-space) and potentially confounding factors (garden use, natural history program engagement and being a member of a conservation organization).

环境行为建模

保护意愿评估

Regression models of biodiversity knowledge and conservation support as a function of both green-space visitation rates (countryside and urban green-space) and potentially confounding factors (garden

NIAID Data Ecosystem20

Candidate variables used to model likelihood of site visitation by recreationists.

资源简介：

相关数据集