本数据集为黄河流域 2000-2022年年度县级地区第一、二、三产业增加值空间分布栅格数据，数据以 2000—2022 年《中国县域统计年鉴》的县级第一、二、三产业增加值统计数据为基础，结合人口分布栅格数据作为空间参考，通过分区密度制图模型完成县级矢量数据的栅格化处理，将第一、二、三产业增加值按人口分布权重分配至1km像元，最终生成连续的空间分布栅格，并统一投影至 CGCS2000 Albers投影坐标系。数据包含 23 年的第一、二、三产业增加值栅格数据，时空范围覆盖整个黄河流域，时间跨度为 2000-2022 年，空间分辨率为 1km。", "ds_source": "
2000-2022年《中国县域统计年鉴》。", "ds_process_way": "
从 2000—2022年《中国县域统计年鉴》提取黄河流域各县域 2000-2022 年的年度第一、二、三产业增加值数据，以1km分辨率人口分布栅格数据为空间参考，采用分区密度制图模型，将县级矢量数据进行栅格化处理，把第一、二、三产业增加值按人口分布权重分配至1km×1km 像元，生成连续的空间分布栅格；最后，将所有年度栅格数据统一转换至CGCS2000 Albers投影坐标系，形成最终的黄河流域县级第一、二、三产业增加值空间分布数据集。", "ds_quality": "
本数据源自2000-2022年《中国县域统计年鉴》，反映当时县域尺度地区第一、二、三产业增加值信息。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "黄河流域", "ds_acq_lon_east": 121.23694444444445, "ds_acq_lat_south": 31.310000000000002, "ds_acq_lon_west": 94.55, "ds_acq_lat_north": 42.59388888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": 6009.0, "ds_share_type": "login-access", "ds_total_size": 279004371, "ds_files_count": 70, "ds_format": "GeoTIFF", "ds_space_res": "1000", "ds_time_res": "1年", "ds_coordinate": "CGCS2000", "ds_projection": "Albers", "ds_thumbnail": "269a211d-2305-4abe-9371-cb3b6ca537ee.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "76330c66-832b-46b3-b501-f5f6edb08dc2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4520" ], "quality_level": 3, "publish_time": "2026-02-02 16:07:34", "last_updated": "2026-02-05 17:13:52", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7092.2026", "i18n": { "en": { "title": "Annual Spatial Distribution Data of Added Value in Primary, Secondary, and Tertiary Industries at the County Level from 2000 to 2022", "ds_format": "GeoTIFF", "ds_source": "
The China County Statistical Yearbook from 2000 to 2022", "ds_quality": "
The data presented in this study originate from the China County Statistical Yearbook (2000–2022), reflecting information on added values of primary, secondary, and tertiary industries at the county-level scale during that period.", "ds_ref_way": "", "ds_abstract": "
This dataset provides raster data of the spatial distribution of annual county-level primary, secondary, and tertiary industry value-added in the Yellow River Basin from 2000 to 2022. The data were generated based on statistical records of county-level primary, secondary, and tertiary industry value-added from the China County Statistical Yearbook (2000–2022), combined with population distribution raster data as spatial reference. Through a dasymetric mapping model, the vector data at the county level were converted into raster format, with primary, secondary, and tertiary industry value-added redistributed to 1 km pixels according to population distribution weights. This process produced continuous spatial distribution rasters, which were uniformly projected onto the CGCS2000 Albers projection coordinate system. The dataset includes 23 years of raster data for primary, secondary, and tertiary industry value-added, covering the entire Yellow River Basin with a temporal span of 2000–2022 and a spatial resolution of 1 km.", "ds_time_res": "1年", "ds_acq_place": "Yellow River Basin", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "
The annual primary, secondary, and tertiary industry value-added data for counties within the Yellow River Basin from 2000 to 2022 were extracted from the China County Statistical Yearbook (2000–2022). Using 1 km resolution population distribution raster data as spatial reference, a zonal density mapping model was employed to convert county-level vector data into raster format. The primary, secondary, and tertiary industry value-added data were allocated to 1 km × 1 km cells according to population distribution weights, generating continuous spatial distribution rasters. Finally, all annual raster datasets were uniformly transformed into the CGCS2000 Albers projection coordinate system to establish the final spatial distribution dataset of county-level primary, secondary, and tertiary industry value-added data across the Yellow River Basin.", "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": [ "黄河流域", "地区第一、二、三产业增加值", "栅格数据" ], "ds_subject_tags": [ "人文地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河流域" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "张举涛", "email": "jutzhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "李雪娇", "email": "lixuejiao@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "苏迎庆", "email": "yingqingsu@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "刘蔚", "email": "weiliu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "朱猛", "email": "zhumeng@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "廖芮", "email": "liaorui@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张举涛", "email": "jutzhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "李雪娇", "email": "lixuejiao@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "苏迎庆", "email": "yingqingsu@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "刘蔚", "email": "weiliu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "朱猛", "email": "zhumeng@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "廖芮", "email": "liaorui@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "张举涛", "email": "jutzhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "社会经济文化" }