This chapter focuses on non-Gaussian random fields that admit two different values (levels). Such fields can be used to classify objects or variables in two different groups (categories). Binary-valued random fields are also known in geostatistics as indicator random fields. Indicator random fields generated by “cutting” Gaussian random fields at some specified threshold level are commonly used. The mathematical properties and the simulation of binary random fields are discussed below.
CITATION STYLE
Hristopulos, D. T. (2020). Binary random fields. In Advances in Geographic Information Science (pp. 645–688). Springer. https://doi.org/10.1007/978-94-024-1918-4_15
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