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4.2 Intersecting Soil Point Observations with 97 Environmental Covariates............................................ 101 4.2.1 Using Rasters from File .................................... 105 4.3 Some Exploratory Data Analysis .................................... 106 References .................................................................... 116 5 Continuous Soil Attribute Modeling and Mapping ..................... 117 5.1 Model Validation ..................................................... 117 5.1.1 Model Goodness of Fit ..................................... 118 5.1.2 Model Validation ........................................... 119
The scorpan factors or environmental covariates come in the form of spatially populated digitally available data, for instance from digital elevation models and the indices derived from them-slope, aspect, MRVBF etc.
As can be seen from Fig. 1.1, once you have defined an area of interest, and assembled a suite of environmental covariates for that area, then determined the availability of the soil data there, you follow the respective pathway. scorpan kriging is performed exclusively when there is only point data, but can be used also when there is both point and map data available, e.g.
This will be followed by a section that will examine the important DSM step of linking observed soil information with available environmental covariates and the subsequent preparation of covariates for spatial modelling.
4.2 Intersecting Soil Point Observations with Environmental Covariates 101
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