本数据集为黄河流域 2000-2022 年年度县级地区生产总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GDP统计数据为基础，结合人口分布空间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GDP值分配至1km分辨率像元，最终生成连续的GDP空间分布栅格，并统一投影至 CGCS2000 Albers 坐标系。数据包含23年的GDP空间分布栅格信息，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的年度GDP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GDP值按人口分布权重分配至1km×1km像元，生成连续的GDP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GDP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生产总值信息。", "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": 94.51666666666667, "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": 90470376, "ds_files_count": 24, "ds_format": "GeoTIFF", "ds_space_res": "1000", "ds_time_res": "1年", "ds_coordinate": "CGCS2000", "ds_projection": "Albers", "ds_thumbnail": "e655d54b-3c2d-4afc-82f8-0be1a87c499b.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 16:24:29", "last_updated": "2026-02-05 17:13:57", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7093.2026", "i18n": { "en": { "title": "Annual Spatial Distribution Data of Gross Domestic Product (GDP) at the County Level from 2000 to 2022", "ds_format": "", "ds_source": "
The China County Statistical Yearbook from 2000 to 2022.", "ds_quality": "
The data presented in this study are sourced from the China County Statistical Yearbook (2000-2022), reflecting information on regional gross domestic product 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 Gross Domestic Product (GDP) in the Yellow River Basin from 2000 to 2022. The data were generated based on county-level GDP statistics from the \"China County Statistical Yearbook\" (2000–2022), combined with spatial gridded population distribution data as a spatial reference. Through dasymetric mapping modeling, county-level vector data were converted into raster format, with GDP values allocated to 1 km resolution cells. This process produced continuous GDP spatial distribution rasters, which were uniformly projected onto the CGCS2000 Albers coordinate system. The dataset contains 23 years of GDP spatial distribution raster information, 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": "The Yellow River Basin", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "
Annual GDP data for counties in the Yellow River Basin were extracted from the China County Statistical Yearbook (2000–2022). Using 1-km resolution population distribution raster data as a spatial reference, county-level vector data were rasterized through an area-weighted density mapping model, with GDP values allocated to 1 km × 1 km cells according to population distribution weights, thereby generating continuous GDP spatial distribution rasters. Finally, all annual raster datasets were uniformly converted into the CGCS2000 Albers projection coordinate system to establish the final county-level GDP spatial distribution dataset for the Yellow River Basin.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "黄河流域", "地区生产总值", "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" }