--- title: ChinaAgroEco canonical_url: "https://www.modelscope.cn/datasets/Donald123456/ChinaAgroEco" md_url: "https://www.modelscope.cn/datasets/Donald123456/ChinaAgroEco.md" repository: Donald123456/ChinaAgroEco last_updated: 2026-07-28 license: "MIT License" storage_size: "51 GB" downloads: 3337 stars: 1 --- # ChinaAgroEco > ChinaAgroEco - Donald123456 在 ModelScope 开源的数据集。A multi-source agro-ecological dataset for China, integrating climate, terrain, administrative boundaries and crop distributions to support crop niche modeling, suitability analysis, agro-climatic zoning and… Donald123456/ChinaAgroEco 是 ModelScope 魔搭社区上的数据集，存储大小 51 GB，采用 MIT License 许可。 - **Repository**: Donald123456/ChinaAgroEco - **License**: MIT License - **Storage size**: 51 GB - **Downloads**: 3337 - **Stars**: 1 - **Last updated**: 2026-07-28 Source: https://www.modelscope.cn/datasets/Donald123456/ChinaAgroEco --- # ChinaAgroEco A multi-source agro-ecological dataset for China, integrating climate, terrain, administrative boundaries and crop distributions to support crop niche modeling, suitability analysis, agro-climatic zoning and food security assessment.
[![Code](https://img.shields.io/badge/Code-000000?logo=github&logoColor=white)](https://github.com/DonaldTrump-coder/china-crop-climatic-suitability)  [![Page](https://img.shields.io/badge/Project%20Page-0A66C2?logo=homepage&logoColor=white)](https://github.com/DonaldTrump-coder/china-crop-climatic-suitability)  [![Data](https://img.shields.io/badge/Data-9B00FF?logo=modelscope&logoColor=white)](https://www.modelscope.cn/datasets/Donald123456/ChinaAgroEco) 
[Central South University](https://www.csu.edu.cn/)
**Contributors:** [Haojun Tang](https://donaldtrump-coder.github.io/)
## Data Structures ``` ChinaAgroEco/ ├── boundaries/ │ ├── cropping_regions.shp │ ├── livestock_region.shp │ ├── national_border.shp │ └── provincial_border.shp ├── climate/ │ ├── Annual mean temperature/ │ ├── Annual mean precipitation/ │ ├── Annual GDD/ │ └── Total mean/ │ ├── mean_temperature.tif │ ├── mean_precipitation.tif │ ├── mean_GDD.tif │ ├── mean_temperature_contours_5.shp │ └── mean_precipitation_contours_200.shp ├── terrain/ │ ├── dem.tif │ ├── rivers.shp │ ├── rivers_dir.tif │ ├── rough.tif │ ├── slope.tif │ └── TWI.tif ├── crop/ │ ├── Cotton.tif │ ├── Peanut.tif │ ├── Rapeseed.tif │ ├── Rice.tif │ ├── Sugar beet.tif │ ├── Sugarcane.tif │ └── Wheat.tif └── informations/ ``` ## Data Contents > **Coordinate Reference System:** All vector and raster data are in **WGS 1984 (EPSG:4326)**. ### 1. Boundaries | File | Demo | Description | Geometry Type | Format | Size | |------|---|-------------|-------|---------------|---| | `cropping_regions.shp` | ![](./images/data_display/cropping_regions.png) | Cropping regionalization by province | Polygon | Shapefile | 806 KB | | `livestock_region.shp` | ![](./images/data_display/livestock_region.png) | Livestock pastoral regionalization by province (including Inner Mongolia, Xinjiang, Qinghai, and Xizang) | Polygon | Shapefile | 378 KB | | `national_border.shp` | ![](./images/data_display/national_border.png) | China national boundary | Polygon | Shapefile | 650 KB | | `provincial_border.shp` | ![](./images/data_display/provincial_border.png) | Provincial administrative divisions (incl. provincial boundaries) | Polygon | Shapefile | 1.14 MB | ### 2. Climate | File | Demo | Description | Geometry Type | Format | Size | |------|---|-------------|-------|---------------|---| | `mean_temperature.tif` | ![](./images/data_display/mean_temperature.png) | Multi-year mean annual temperature calculated from data in `Annual mean temperature` | Raster | GeoTiFF | 184 MB | | `mean_precipitation.tif` | ![](./images/data_display/mean_precipitation.png) | Multi-year mean annual precipitation calculated from data in `Annual mean precipitation` | Raster | GeoTIFF | 184 MB | | `mean_GDD.tif` | ![](./images/data_display/mean_GDD.png) | Multi-year mean annual GDD calculated from data in `Annual GDD` | Raster | GeoTIFF | 1.25 MB | | `mean_temperature_contours_5.shp` | ![](./images/data_display/mean_temperature_contours_5.png) | Temperature contours (5°C interval) calculated from `mean_temperature.tif` with Gaussian smoothing applied | Polyline | Shapefile | 20.3 KB | | `mean_precipitation_contours_200.shp` | ![](./images/data_display/mean_precipitation_contours_200.png) | Precipitation contours (200 mm interval) calculated from `mean_precipitation.tif` with Gaussian smoothing applied | Polyline | Shapefile | 27.8 KB | ### 3. Terrain | File | Demo | Description | Geometry Type | Format | Size | |------|------|-------------|---------------|--------|------| | `dem.tif` | ![](./images/data_display/dem.png) | Digital elevation model of China with 30m interval | Raster | GeoTIFF | 3.15 GB | | `slope.tif` | ![](./images/data_display/slope.png) | Slope gradient calculated from `dem.tif` | Raster | GeoTIFF | 3.05 GB | | `rough.tif` | ![](./images/data_display/rough.png) | Terrain ruggedness index | Raster | GeoTIFF | 3.07 GB | | `TWI.tif` | ![](./images/data_display/TWI.png) | Topographic wetness index | Raster | GeoTIFF | 1.25 MB | | `rivers.shp` | ![](./images/data_display/rivers.png) | River network of China, categorized into five levels and canals | Polyline | Shapefile | 21.2 MB | | `rivers_dir.tif` | ![](./images/data_display/rivers_dir.png) | Distance to the nearest river calculated from `rivers.shp` | Raster | GeoTIFF | 127 MB | ### 4. Crop | File | Demo | Description | Geometry Type | Format | Note | Size | |------|------|-------------|---------------|--------|------|------| | `*.tif` | ![](./images/data_display/crop.png) | Normalized distributions of 7 major crops (Wheat, Rice, Cotton, Peanut, Rapeseed, Sugar beet, Sugarcane), digitally derived and statistically aggregated from concentrated and dispersed production area data. | Raster | GeoTIFF | Higher pixel values indicate more concentrated crop distribution. | 66.5 MB | ### 5. Informations | File | Description | |------|-------------| | `*.jpg/png` | Chinese reference maps and imagery used as digitization sources | ## Data Sources & References | Data | Source | |---|--------| | national_border & provincial_border | [MAP WORLD: National Platform for Common GeoSpatial Information Services](https://www.tianditu.gov.cn "www.tianditu.gov.cn") | | Annual mean temperature & Annual mean precipitation | [The National Tibetan Plateau Data Center (TPDC)](http://data.tpdc.ac.cn "http://data.tpdc.ac.cn") | | Annual GDD | [ERA5-Land](https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land "https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land") — Generated using Copernicus Climate Change Service information (2019). Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. | | Other data | Publicly accessible network | ## Citation If you find ChinaAgroEco helpful in your research, please cite: ```bibtex @misc{tang2026chinaagroeco, author = {Tang, Haojun}, title = {{ChinaAgroEco}: A Multi-Source Agro-Ecological Dataset for China}, year = {2026}, publisher = {ModelScope}, howpublished = {\url{https://www.modelscope.cn/datasets/Donald123456/ChinaAgroEco}}, } ``` ## License This project is licensed under the Apache License 2.0. See [LICENSE](./LICENSE) details.