Which strategy is best to predict soil properties of a local site from a national Vis–NIR database?

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Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library (2019, methodology): “Using local regression, previous studies have found typically better prediction compared with global PLSR [24,25], although this is not always the case [26].”
Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis–NIR spectral library (2015, methodology): “…local predictions (Brown, 2007; Guerrero et al., 2010) as well as the direct use of local statistical modelling, such as locally weighted regression (LWR) (Igne et al., 2010), LOCAL algorithm (Gogé et al., 2012) and fast Fourier transform local weighted regression (FFT-LW) (Gogé et al., 2014).”