This project is based on the mapspamc R
package and builds a spatial distribution dataset of multiple crops at a resolution of 1km for China.
- Validation at province scale for wheat:
- Validation at prefecture scale for wheat:
Dijk, Michiel van, Ulrike Wood-Sichra, Yating Ru, Amanda Palazzo, Petr Havlik, and Liangzhi You. 2022. “Generating multi-period crop distribution maps for Southern Africa using a data fusion approach.”
You, Liangzhi, and Stanley Wood. 2006. “An entropy approach to spatial disaggregation of agricultural production.” Agricultural Systems 90 (1): 329–47. https://doi.org/10.1016/j.agsy.2006.01.008.
You, Liangzhi, Stanley Wood, and Ulrike Wood-Sichra. 2009. “Generating plausible crop distribution maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach.” Agricultural Systems 99 (2): 126–40. https://doi.org/10.1016/j.agsy.2008.11.003.
You, Liangzhi, Stanley Wood, Ulrike Wood-Sichra, and Wenbin Wu. 2014. “Generating global crop distribution maps: From census to grid.” Agricultural Systems 127: 53–60. https://doi.org/10.1016/j.agsy.2014.01.002.
Yu, Qiangyi, Liangzhi You, Ulrike Wood-Sichra, Yating Ru, Alison K. B. Joglekar, Steffen Fritz, Wei Xiong, Miao Lu, Wenbin Wu, and Peng Yang. 2020. “A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps.” Earth System Science Data 12 (4): 3545–72. https://doi.org/10.5194/essd-12-3545-2020.