乡村生态旅游竞争力是指乡村地区依托良好的生态环境，以乡土自然景观和人文景观为核心资源，能够有效识别乡村生态旅游的发展水平与潜在优势，揭示乡镇在各方面的差异。其构建能够为区域乡村生态旅游空间化、综合均衡发展和乡村振兴战略实施提供数据支撑。研究基于自然环境、生态资源、基础设施和人文经济4个维度16项评价因子，构建了乡镇尺度乡村生态旅游竞争力数据集，并利用随机森林模型与SHAP可解释性机器学习方法进行竞争力测度，得到其空间分布结果。时间范围：2020年，空间范围：长江经济带上游地区，时间尺度：年，空间分辨率：30m×30m，数据格式：GeoTiff。
本数据集整合了多源遥感、互联网和政府统计资料，指标覆盖较为全面；采用机器学习方法开展数据驱动测度，能够在一定程度上减少人为赋权带来的主观性；同时兼具模型解释性和空间表达能力，可以为长江经济带上游乡村生态旅游资源识别、分区施策和跨区域协同规划提供基础依据。", "ds_source": "
多源遥感、互联网和政府统计资料。", "ds_process_way": "
利用随机森林模型与SHAP可解释性机器学习方法进行竞争力测度。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2020-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "长江经济带上游", "ds_acq_lon_east": 110.0, "ds_acq_lat_south": 21.0, "ds_acq_lon_west": 92.0, "ds_acq_lat_north": 34.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 519640376, "ds_files_count": 2, "ds_format": "GeoTiff", "ds_space_res": "30m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "454b95c0-3863-45f7-80d1-ef1e63832a5a.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "952adb3f-3ede-4a94-942a-7de772f1bfc5", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4520" ], "quality_level": 0, "publish_time": "2026-04-14 11:21:12", "last_updated": "2026-06-03 10:37:37", "protected": false, "protected_to": "2026-11-30 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.TOURISM.DB7302.2026", "i18n": { "en": { "title": "Dataset of Rural Ecotourism Competitiveness in the Upper Reaches of the Yangtze River Economic Belt (2020)", "ds_format": "GeoTiff", "ds_source": "
Multi-source remote sensing, Internet and government statistics.", "ds_quality": "
Data quality is good.", "ds_ref_way": "", "ds_abstract": "
Rural eco-tourism competitiveness means that rural areas rely on a good ecological environment and use local natural landscapes and cultural landscapes as core resources. They can effectively identify the development level and potential advantages of rural eco-tourism and reveal differences between towns and villages in various aspects. Its construction can provide data support for the spatialization, comprehensive and balanced development of regional rural eco-tourism and the implementation of rural revitalization strategies. Based on 16 evaluation factors in four dimensions: natural environment, ecological resources, infrastructure and humanistic economy, the study constructed a data set on rural eco-tourism competitiveness at the township scale, and used random forest model and SHAP interpretable machine learning method to measure competitiveness., obtain its spatial distribution results. Time range: 2020, spatial range: upper reaches of the Yangtze River Economic Belt, time scale: year, spatial resolution: 30m×30m, data format: GeoTiff.
This dataset integrates multi-source remote sensing, Internet and government statistical data, and the indicator coverage is relatively comprehensive. Using machine learning methods to carry out data-driven measurement can reduce the subjectivity caused by human empowerment to a certain extent; it also has model explanatory and spatial expression capabilities, which can provide a basic basis for the identification of rural eco-tourism resources in the upper reaches of the Yangtze River Economic Belt, zoning policies and cross-regional collaborative planning.", "ds_time_res": "", "ds_acq_place": "Upper reaches of the Yangtze River Economic Belt", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Use the random forest model and SHAP interpretable machine learning method to measure competitiveness.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "长江经济带上游", "生态旅游竞争力", "乡村旅游" ], "ds_subject_tags": [ "人文地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "长江经济带上游" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "董军", "email": "20200062@cqnu.edu.cn", "work_for": "陕西师范大学 教师发展研究院 ", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "董军", "email": "20200062@cqnu.edu.cn", "work_for": "陕西师范大学 教师发展研究院 ", "country": "中国" } ], "ds_managers": [ { "true_name": "杨雪梅", "email": "yxm9693@163.com", "work_for": "兰州文理学院", "country": "中国" } ], "category": "社会经济文化" }