| Stochastic geometry is concerned with random geometric structures, ranging from simple points or line segments to arbitrary closed sets. Although it has roots in geometric probability and integral geometry, the modern theory of random sets was developed in the seventies, independently by David Kendall in Cambridge and Georges Matheron in Fontainebleau with important contributions from the German school around Professors Mecke and Stoyan. Stochastic geometry techniques can be applied in a wide range of fields for instance material science, cell biology, image analysis, forestry and environmental research. |
