本数据集来源于甘肃省陇南市两当县文体广电和旅游局牵头组织的系统性旅游资源普查，旨在科学揭示旅游资源的空间集聚格局。生产方法基于普查获取的权威点位数据，利用ArcGIS平台，通过核密度估计方法，生成连续的资源密度栅格表面。数据核心要素为旅游资源的核密度值，空间范围覆盖两当县全域，时间上对应普查时点的资源现状。密度值依据五级区间进行分级命名与可视化，空间分辨率由分析设定的栅格大小决定，并叠加行政边界作为地理参考。
本数据集将离散资源点转化为连续密度场，直观量化了资源分布的热点与空间结构，弥补了传统统计在空间连续性表达上的不足。主要适用于区域旅游规划、资源开发评估、空间格局分析及相关地理学研究。", "ds_source": "
来源于甘肃省陇南市两当县文体广电和旅游局联合多部门及专业技术团队，通过系统性的实地普查、档案整理与空间定位工作获取的旅游资源单体点位数据。", "ds_process_way": "
采用ArcGIS 10.8版本软件：输入原始旅游资源点位矢量数据（点要素图层，包含资源位置坐标）；使用ArcGIS空间分析工具箱中的“核密度估计”（Kernel Density Estimation）工具，将离散点位转换为连续密度栅格表面；密度值结果按五级区间进行分级渲染（自然断裂法）；叠加两当县行政边界矢量图层作为地理参考，最终输出为GeoTIFF格式；所用算法：核密度估计（Kernel Density Estimation）。\n
该数据集为派生数据产品，通过标准空间分析流程将离散资源点转化为连续密度场，用于揭示旅游资源空间集聚格局。", "ds_quality": "
（1）基础数据质量控制：原始点位数据由官方普查团队通过实地调查、档案核实、多源定位获取，遵循统一国家标准，确保资源分类、定位与属性的规范性和权威性；普查过程包括多轮内部审核与专家复核。\n
（2）数据加工质量控制：在ArcGIS10.8平台中，严格按照标准工具参数执行核密度分析；处理前后进行目视检查与统计验证（对比原始点位分布与密度热点一致性）；对异常值（孤立点高密度）进行手动复核。\n
（3）完整产生过程：原始点位数据采集（实地普查+空间定位）→数据清洗与矢量图层构建→ArcGIS核密度估计分析（参数设定+计算）→分级渲染与行政边界叠加→输出数据集。\n
（4）使用方法：全程采用成熟的ArcGIS空间分析模块，无自定义脚本或非标准算法。", "ds_acq_start_time": "2024-01-01 00:00:00", "ds_acq_end_time": "2026-01-01 00:00:00", "ds_acq_place": "甘肃省陇南市两当县", "ds_acq_lon_east": 106.55, "ds_acq_lat_south": 33.5, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 255861, "ds_files_count": 2, "ds_format": "*.tif", "ds_space_res": "200 m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "None", "ds_thumbnail": "f2da4b9e-e74b-4e9d-b83e-804e43c8073e.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "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": 3, "publish_time": "2026-04-03 16:46:09", "last_updated": "2026-04-23 16:52:28", "protected": false, "protected_to": "2026-10-20 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.TOURISM.DB7275.2026", "i18n": { "en": { "title_en": "2024 Liangdang County Tourism Resource Individual Kernel Density Analysis Dataset", "ds_format_en": "*.tif", "ds_source_en": "
Originating from the Cultural, Sports, Radio, Television, and Tourism Bureau of Liangdang County, Longnan City, Gansu Province, in collaboration with multiple departments and professional technical teams, the individual location data of tourism resources was obtained through systematic field surveys, archive organization, and spatial positioning work.", "ds_quality_en": "
(1) Basic data quality control: The original point data is obtained by the official census team through field investigation, archive verification, and multi-source positioning, following unified national standards to ensure the standardization and authority of resource classification, positioning, and attributes; The census process includes multiple rounds of internal audits and expert reviews.\r\n
(2) Data processing quality control: In the ArcGIS 10.8 platform, kernel density analysis is strictly performed according to standard tool parameters; Visual inspection and statistical verification before and after processing (comparing the consistency between the original point distribution and density hotspots); Manually review outliers (high-density isolated points).\r\n
(3) Complete generation process: raw point data collection (field survey+spatial positioning) → data cleaning and vector layer construction → ArcGIS kernel density estimation analysis (parameter setting+calculation) → hierarchical rendering and administrative boundary overlay → output dataset.\r\n
(4) Usage: The mature ArcGIS spatial analysis module is used throughout the process, with no custom scripts or non-standard algorithms.", "ds_ref_way_en": "", "ds_abstract_en": "", "ds_time_res_en": "", "ds_acq_place_en": "Liangdang County, Longnan City, Gansu Province", "ds_space_res_en": "", "ds_projection_en": "", "ds_process_way_en": "
Using ArcGIS 10.8 software: Input the original tourism resource point vector data (point feature layer, including resource location coordinates); Use the Kernel Density Estimation tool in the ArcGIS Spatial Analysis Toolbox to convert discrete points into a continuous density grid surface; The density value results are rendered in a graded manner according to a five level interval (natural fracture method); Overlay the vector layer of the administrative boundaries of two counties as a geographic reference, and finally output it in GeoTIFF format; Algorithm used: Kernel Density Estimation.\r\n
This dataset is a derived data product that converts discrete resource points into continuous density fields through standard spatial analysis processes, used to reveal the spatial agglomeration pattern of tourism resources.", "ds_ref_instruction_en": "" } }, "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, "ds_topic_tags": [ "旅游资源", "空间分布", "核密度" ], "ds_subject_tags": [ "人文地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "陇南市", "两当县" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "梁珍珍", "email": "1147278341@qq.com", "work_for": "甘肃省陇南市两当县文体广电和旅游局", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "高雪琴", "email": "1103264988@qq.com", "work_for": "兰州文理学院", "country": "中国" } ], "ds_managers": [ { "true_name": "高雪琴", "email": "1103264988@qq.com", "work_for": "兰州文理学院", "country": "中国" } ], "category": "社会经济文化" }