Dataset of global geospatial cross-validation errors
收藏DataCite Commons2023-09-25 更新2024-08-26 收录
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https://springernature.figshare.com/articles/dataset/Dataset_of_global_geospatial_cross-validation_errors/22763666/1
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This dataset provides the results of the third validation process in addition to the validation previously discussed. The error between the agent parametrisation values and the aggregated parameter at the regional level is provided in this dataset. Errors have been estimated for GDP, GDPpp, TE, SH, WH, Pop and HDI. Overall, the agent parametrisation approach suggests a global measure of error that is satisfactory, as the error is minimum in most agents and regions.
提供机构：
figshare
创建时间：
2023-09-25
