Time, space, and process in Anne Conway

The Vitalism of Anne Conway: Its Impact on Leibniz's Concept of the Monad

Continuous-time and continuous-space process algebras

Quantitative methods seek to explore how a system evolves in the dimensions of space and time. The usual notion of space is a discrete one such as the reachable states of a high-level model, but others are possible, such as fluid models. The usual notion of time is a continuous one such as the average duration of activities, as used in stochastic processes governed by the exponential distributi...

Space and space-time modeling using process convolutions

A continuous spatial model can be constructed by convolving a very simple, perhaps independent, process with a kernel or point spread function. This approach for constructing a spatial process offers a number of advantages over specification through a spatial covariogram. In particular, this process convolution specification leads to compuational simplifications and easily extends beyond simple...

Intermittency in Turbulence: Multiplicative random process in space and time

We present a simple stochastic algorithm for generating multiplicative processes with multiscaling both in space and in time. With this algorithm we are able to reproduce a synthetic signal with the same space and time correlation as the one coming from shell models for turbulence and the one coming from a turbulent velocity field in a quasi-Lagrangian reference frame. Corresponding author: Dr....

Modelling Land Allocation Process in Time and Space

Modeling land allocation for different land uses at regional level is a multi-dimensional problem, as it is influenced by spatial, temporal and dynamics of environmental and socio-economic factors in the complex process of land use change. It is therefore a challenge to develop a proper model that can handle these complexities. In this context, a new model has been conceptualized and developed....