Many spatial decision support systems suffer from user adoption issues in practice due to
lack of trust, technical expertise, and resources. Automated machine learning has recently …

Inclusion and measurement of the various human-dependent factors that modulate wildlife
responses to non-consumptive outdoor recreational activities is crucial for improving our …

This study advanced knowledge of the geospatial relationships between social values
elicited during a participatory mapping exercise and on-ground travel patterns understood …

While outdoor travel has become an increasingly popular phenomenon, its high accident
rate remains a significant concern. It is important to reasonably design emergency rescue …

Wilderness visitation, particularly overnight use, is reactive to climate variability because
backpackers face greater exposure to and dependence on environmental conditions. This …

Climate science produces a wealth of complex, high-dimensional, multivariate data from
observations and numerical models. These data are critical for understanding climate …

摘要居民出行特征分析是研究交通需求和探寻交通拥堵症结的基础手段ꎮ
为研究居民出行特征ꎬ 基于企事业单位人群出行特征调研数据ꎬ 改进经典DBSCAN 聚类算法ꎬ …

In remote parks and other protected areas, estimates of visitor use levels and distributions
are often limited in accuracy and feasibility. Visitors to these areas may not see any staff …

Visitor movement research in outdoor recreation contexts generates information about
recreation activity type, timing, and distribution. Much of this work is descriptive or …

Outdoor recreational use is growing rapidly in the western United States, which increases
the pressure on multiple‐use public lands. Balancing recreational use with conservation …