Markov chains in time, such as simple random walks, are at the heart of probability. In space, due to the absence of an obvious definition of past and future, a range of definitions of Markovianity have been proposed. In this paper, after a brief review, we introduce a new concept of Markovianity that aims to combine spatial and temporal conditional independence

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van Lieshout, M.-C. (2005). Markovianity in space and time : [dedicated to Professor Mike Keane on the occasion of his 65th birthday]. CWI. Probability, Networks and Algorithms [PNA]. CWI.