Multivariate split moving window (MSMW) is a tool to automate soil mapping and to assess uncertainty in soil boundaries. In this paper, we propose a new approach to locate soil boundaries. We investigated the potential of (i) MSMW associated with Mahalanobis D² and (ii) split moving window (SMW) associated with magnetic susceptibility (MS) as tools for validation of soil boundaries. A transect was lined in Guatapará city (Sao Paulo state, Brazil), and 172 soil samples were collected from 86 locations, at a depth of 0–25 and 25–50 cm, for physical and chemical analyses. Additionally, categorical properties – geology, land use, and altitude – were assessed at the same sampling points. All the data were organized into four groups of properties (G1, G2, G3, and G4) and analyzed by principal component analysis, MSMW analysis – to delineate map units using D² –, and SMW analysis using MS. MSMW and SMW were compared regarding their potential to locate soil boundaries along the transect. The MS peaks in SMW presented a correlation with peaks of t-statistics and D² in MSMW: (r = 0.56; p < 0.01 – r = 0.69; p < 0.01) and (r = 0.55; p < 0.01 – r = 0.64; p < 0.01) for both depth intervals (0–25 cm and 25–50 cm), respectively. MSMW was more sensitive than SMW in the detection of soil boundaries in areas with lower clay content. Compared to conventional soil surveys, MSMW considerably improved the prediction of boundaries in mapping units. We concluded that the proposed method is a promising strategy for soil surveyors and can be used to assist pedological cartography.

多元分割移动窗口 (MSMW) 是一种用于自动绘制土壤图和评估土壤边界不确定性的工具。在本文中，我们提出了一种定位土壤边界的新方法。我们研究了 (i) MSMW 与 Mahalanobis D ²相关的潜力(ii) 与磁化率 (MS) 相关的分裂移动窗口 (SMW) 作为验证土壤边界的工具。在瓜塔帕拉市（巴西圣保罗州）划出一条横断面，从 86 个地点收集了 172 个土壤样品，深度为 0-25 和 25-50 厘米，用于物理和化学分析。此外，分类属性——地质、土地利用和海拔高度——在相同的采样点进行了评估。所有数据被组织成四组属性（G1、G2、G3 和 G4），并通过主成分分析、MSMW 分析（使用 D ²描绘地图单元）和使用 MS 的 SMW 分析进行分析。将 MSMW 和 SMW 进行了比较，以确定它们沿横断面定位土壤边界的潜力。SMW 中的 MS 峰与 t 统计量和 D 的峰呈相关性MSMW 中的²：（r = 0.56；p < 0.01 – r = 0.69；p < 0.01）和（r = 0.55；p < 0.01 – r = 0.64；p < 0.01）对于两个深度间隔（0-25 厘米和 25 –50 厘米），分别。在检测粘土含量较低的地区的土壤边界时，MSMW 比 SMW 更敏感。与传统的土壤调查相比，MSMW 大大改进了绘图单元中边界的预测。我们得出的结论是，所提出的方法对于土壤测量员来说是一种很有前途的策略，可用于辅助土壤学制图。