{
    "created": "2024-01-26 11:22:04",
    "updated": "2026-06-12 12:06:28",
    "id": "8e65fa3f-5453-4197-91f7-25a8eb2a249d",
    "version": 5,
    "ds_topic": null,
    "title_cn": "2022年黄河流域旅游资源空间分布数据集",
    "title_en": "2022 Yellow River Basin Tourism Resource Spatial Distribution Dataset",
    "ds_abstract": "<p>&emsp;&emsp;黄河是中华民族的母亲河，黄河流域旅游资源是国内最为丰富、最具特色的文化旅游带之一。本数据集以自然流域为基础、以县（区）域行政边界为单元，以各县（区）旅游资源名录数据为依据，参考国家旅游资源分类标准，利用沿黄地区2022年高分辨率卫星影像和矢量电子地图等基础地理信息数据，分类型、分等级提取了全流域旅游资源空间分布信息。包括沿黄9省自然景观和人文景观2个一级类和10个二级类的全流域A级以上旅游资源专题数据，涵盖了黄河流域约80万 km2的流域面积。黄河流域旅游资源空间分布数据集可为黄河流域文化旅游规划、开发、利用与保护提供科学决策依据。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集主要来源于黄河流域各县区文化旅游局、统计局等部门的文化旅游资源目录、统计年鉴以及国家科技资源共享服务平台提供的黄河流域基础地理信息、地表覆盖、遥感影像等数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;根据沿黄地区的高分辨率卫星影像和矢量电子地图，叠加相关旅游景点，按照专题地图有关要求，完成各等级旅游景点的空间分布制图；最后，利用黄河流域基础地理信息数据（流域边界、行政区划、河流水系、交通路网、居民地）制作专题数据底图。</p>",
    "ds_quality": "<p>&emsp;&emsp;为确保数据准确可靠，本研究对黄河流域自然、人文和红色旅游资源开发利用情况和景点建设现状进行实地考察、访谈调研，获取大量一手相关资料，包括黄河流域地理、地表覆盖、DEM 高程、行政区划、卫星遥感、气候、自然灾害等专题数据。</p>",
    "ds_acq_start_time": "2022-01-01 00:00:00",
    "ds_acq_end_time": "2022-12-31 00:00:00",
    "ds_acq_place": "黄河流域",
    "ds_acq_lon_east": 119.65,
    "ds_acq_lat_south": 43.5,
    "ds_acq_lon_west": 89.3,
    "ds_acq_lat_north": 31.5,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "open-access",
    "ds_total_size": 831980,
    "ds_files_count": 3,
    "ds_format": ".csv、.tiff",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "8e65fa3f-5453-4197-91f7-25a8eb2a249d.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": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2024-01-26 11:30:20",
    "last_updated": "2026-05-13 09:19:34",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11-6035.ncdc.2023.0013.zh",
    "i18n": {
        "en": {
            "title": "2022 Yellow River Basin Tourism Resource Spatial Distribution Dataset",
            "ds_format": ".csv、.tiff",
            "ds_source": "<p>&emsp;This dataset mainly comes from the cultural and tourism resource catalogs, statistical yearbooks, and basic geographic information, surface coverage, remote sensing images of the Yellow River Basin provided by the cultural and tourism bureaus, statistical bureaus, and other departments in various counties and districts of the Yellow River Basin, as well as the National Science and Technology Resource Sharing Service Platform. </p>",
            "ds_quality": "<p>&emsp;To ensure the accuracy and reliability of the data, this study conducted on-site investigations and interviews on the development and utilization of natural, cultural, and red tourism resources, as well as the current status of scenic spot construction in the Yellow River Basin. A large amount of first-hand relevant information was obtained, including geographical, surface coverage, DEM elevation, administrative zoning, satellite remote sensing, climate, natural disasters, and other thematic data of the Yellow River Basin. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;The Yellow River is the mother river of the Chinese nation, and the tourism resources in the Yellow River Basin are one of the most abundant and distinctive cultural tourism belts in China. This dataset is based on natural river basins, with county (district) administrative boundaries as units, and tourism resource directory data of each county (district) as the basis. Referring to the national tourism resource classification standards, it uses basic geographic information data such as high-resolution satellite images and vector electronic maps from the Yellow River region in 2022 to extract spatial distribution information of tourism resources in the entire basin by type and level. Including two primary categories of natural landscapes and cultural landscapes along the Yellow River in 9 provinces, as well as 10 secondary categories of A-level or above tourism resources in the entire basin, covering a watershed area of approximately 800000 km2 in the Yellow River Basin. The spatial distribution dataset of tourism resources in the Yellow River Basin can provide scientific decision-making basis for cultural tourism planning, development, utilization and protection in the Yellow River Basin. </p>",
            "ds_time_res": "",
            "ds_acq_place": "The Yellow River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Based on high-resolution satellite images and vector electronic maps of the Yellow River region, overlay relevant tourist attractions, and complete spatial distribution mapping of various levels of tourist attractions in accordance with the requirements of thematic maps; Finally, use the basic geographic information data of the Yellow River Basin (basin boundaries, administrative divisions, river systems, transportation networks, residential areas) to create a thematic data base map. </p>",
            "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_outside",
    "cstr_reg_from": "reg_outside",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "belong_to_nieer": false,
    "ds_topic_tags": [
        "旅游资源",
        "文化旅游",
        "空间统计"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黄河流域"
    ],
    "ds_time_tags": [
        2022
    ],
    "ds_contributors": [
        {
            "true_name": "卢晓彤",
            "email": "lxtd163123456@163.com",
            "work_for": "河南师范大学旅游学院",
            "country": "中国"
        },
        {
            "true_name": "刘慧聪",
            "email": "lhc1579196613@163.com",
            "work_for": "河南师范大学旅游学院",
            "country": "中国"
        },
        {
            "true_name": "史青山",
            "email": "13409420480@163.com",
            "work_for": "河南师范大学旅游学院",
            "country": "中国"
        },
        {
            "true_name": "李欣瑶",
            "email": "17525935270@163.com",
            "work_for": "河南师范大学旅游学院",
            "country": "中国"
        },
        {
            "true_name": "韩立钦",
            "email": "hanliqin@lzb.ac.cn",
            "work_for": "河南师范大学",
            "country": "中国"
        },
        {
            "true_name": "陈婷",
            "email": "chenting@lzre.edu.cn",
            "work_for": "兰州资源环境职业技术大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "韩立钦",
            "email": "hanliqin@lzb.ac.cn",
            "work_for": "河南师范大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "卢晓彤",
            "email": "lxtd163123456@163.com",
            "work_for": "河南师范大学旅游学院",
            "country": "中国"
        }
    ],
    "category": "生态"
}