Soil information is critical for a wide range of land resource and environmental decisions. These decisions will be compromised when the soil information quality is unsatisfactory. Thus, users of soil information need to understand and consider the uncertainty of the available soil information and be able to judge whether it is fit for purpose. The uncertainty information provided with the SoilGrids2.0 product was examined in a case study. We hypothesised that the soil property predictions for the Netherlands (NL) might be less uncertain than those of New Zealand (NZ) because there were more relevant training data for NL than for NZ. The study objectives were to: 1)understand whether the provided uncertainty information is correct for both countries; 2)explore spatial patterns and relationships in the prediction error and uncertainty information using quantitative tools and new graphical analyses; 3)analyse whether these patterns and relations can be explained; and 4)explore how the uncertainty information and insights derived from graphical analyses might assist an end user to determine whether a map is suitable for their purpose. The study focused on soil texture.

中文翻译：

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解释和评估数字土壤制图预测不确定性：使用 SoilGrids 纹理的案例研究


土壤信息对于广泛的土地资源和环境决策至关重要。当土壤信息质量不令人满意时，这些决定将受到影响。因此，土壤信息的使用者需要理解和考虑可用土壤信息的不确定性，并能够判断它是否适合用途。在案例研究中检查了 SoilGrids2.0 产品提供的不确定性信息。我们假设荷兰 （NL） 的土壤特性预测可能比新西兰 （NZ） 的土壤特性预测更不确定，因为 NL 的相关训练数据比新西兰的相关训练数据更多。研究目标是：1） 了解所提供的不确定性信息是否对两国都是正确的;2） 使用定量工具和新的图形分析探索预测误差和不确定性信息中的空间模式和关系;3） 分析这些模式和关系是否可以解释;4） 探索从图形分析中获得的不确定性信息和见解如何帮助最终用户确定地图是否适合他们的目的。该研究的重点是土壤质地。