Chapter 1 Spatial Soil Information Systems and Spatial Soil Inference Systems: Perspectives for Digital Soil Mapping

摘要: Abstract Given the relative dearth of, and huge demand for, quantitative spatial soil information, it is timely to develop implement methodologies for its provision. We suggest that digital mapping, which can be defined as creation, population of information systems (SSINFOS) by use field laboratory observational methods, coupled with non-spatial inference systems, appropriate response. Problems large extents soil-cover complexity coarse resolutions short-range variability representation carry over from conventional survey mapping. Meeting users’ requests demands ability deal spatially variable temporally evolving datasets must key features any new approach. In this chapter, we present a generic framework recognises procedures required. Within quantitatively physiographic regions, SSINFOS populated (SSINFERS) developed. When combined will allow users derive data they require. Further work required on development these requirements, optimal forms products