… are impressive but often contradict with experts’ opinions (eg, … These data are then spatially
matched with predictor variables … We argue that showing predicted values on global maps …

… We do this based on species distribution models for both the … the group that best matched
their habitat needs during each … compared each species and season model to range maps (…

… to couple model prediction with hypothesis generation and explanation of soil processes. …
In some cases, covariates are selected based on expert knowledge. A number of studies …

… [9]; informing spatial species distribution models that can predict and … match DW and Esri
by aggregating four LULC classes, as outlined in Table 1. The three global 10 m LULC maps …

… Here, we use an ensemble of species distribution models for … We match these binned open
ocean records with observation-based … This way, we obtained global maps of monthly mean …

… Fine-grain data on species distributions and associations … , the data were further reduced
to match the timeframe of the land-… overlaid on the map 100 times, giving ranges of expected …

… map is actually a heatmap that is usually superimposed over the input image to emphasize
the pixels of the image that were more important for the prediction… they match the expert KG (…

… On test images, we matched the predictions of the algorithms … model matched the performance
of the specialist model (Fig. … ROI predictions by thresholding the ‘inside’ probability map …

… the two experts’ manual countings with the aid of the model … In our case, the species distribution
map in Figure 13 was … parameters to match the input image bounding box predictions to …

… classifier to predict target labels. It also introduces a moment … community, and many experts
have exerted considerable … Second, the feature learner maps individual domain samples …