Data from: Vegetation Structure and Thermal Buffering Shape Visitor Experience along a Mangrove Boardwalk

This dataset contains the survey, microclimate, and LiDAR-derived structural data used to analyze visitor experience along a mangrove boardwalk at Kung Krabaen Bay, Chanthaburi Province, Thailand. The study compared three route environments: mixed back-mangrove forest, a monospecific Rhizophora apiculata plantation, and mature R. apiculata forest. survey_responses.csv contains visitor survey responses collected through site-specific online questionnaires at the three boardwalk locations. Each row represents one survey response and includes the site, timestamp, five-point Likert ratings for beauty, perceived mangrove density, perceived temperature, peacefulness, perceived visitor numbers, and perceived boardwalk safety, plus derived date, hour, season, and time-of-day. Missing values indicate unanswered items. logger_output.csv contains temperature and light records from HOBO Pendant MX2202 loggers installed at the three survey locations and programmed at 12-min intervals (15 December 2024 to 29 June 2025). The logger data include site, timestamp, temperature (°C), and light intensity (lux). trail_view_metrics.csv contains LiDAR-derived visitor-perspective structural metrics for 174 observer points sampled along the boardwalk route from a handheld SLAM LiDAR scan. Each observer point includes route coordinates and metrics describing forward visibility, forward and lateral enclosure, canopy cover, vertical complexity, overstory height, and openness.The raw handheld SLAM LiDAR point cloud is not included in this repository because of its large file size. The repository provides the derived observer-point structural metrics used in the analysis. The raw LiDAR point cloud can be made available by the corresponding author upon reasonable request.本数据集包含用于分析泰国尖竹汶府孔克拉本湾红树林栈道沿线游客游览体验的调研数据、微气候数据以及激光雷达（LiDAR）衍生结构数据。本研究对比了三种栈道沿线生境：混合后红树林、纯人工种植的红海榄（Rhizophora apiculata）林以及成熟红海榄林。 `survey_responses.csv` 包含在三个栈道点位通过针对性线上问卷收集的游客调研反馈。每份数据行对应一份调研反馈，包含点位、时间戳、针对美感、感知红树林密度、感知温度、静谧感、感知游客数量以及感知栈道安全性的李克特五级评分，同时包含衍生得到的日期、时刻、季节以及时段信息；缺失值代表对应题目未作答。 `logger_output.csv` 包含安装于三个调研点位的HOBO Pendant MX2202型数据记录仪的温度与光照记录，采样间隔设置为12分钟，采集时段为2024年12月15日至2025年6月29日。该数据集包含点位、时间戳、温度（°C）以及光照强度（lux）四项信息。 `trail_view_metrics.csv` 包含通过手持同步定位与地图构建（SLAM）激光雷达扫描沿栈道路线采集的174个观测点的游客视角结构指标。每个观测点包含路线坐标以及表征前方可见度、前后与侧向围合度、冠层覆盖率、垂直复杂度、上层林冠高度以及开阔度的量化指标。 由于文件体积过大，本数据集仓库未包含手持SLAM激光雷达的原始点云数据，仅提供本研究分析所用的观测点衍生结构指标。若有合理研究需求，通讯作者可提供原始激光雷达点云数据。