In a previous post, I used the interactive plot below to visualise & compare population growth curves simulated from three members of a family of models that share the same set of parameters. The user can adjust parameter values and explore the resulting changes in similarities and differences between simulations from the three models in real time. In this post I will discuss where dynamic visualisation of quantitative analysis is most useful and how the calculations underlying this analysis were carried out in JavaScript.
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In this post, I will describe a family of three related mathematical models of population dynamics. Since their development, scientists have used these models to simulate the growth of a wide range of different types of populations including the growth of microbial cells, plant growth and the growth of human populations. Each of these three models are written down in the form of ordinary differential equations (ODEs) and are relatively straightforward to simulate from.
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