Pseudocode 1:

1.

Specify the global temporal parameters over a specified time period, T_k, where k is the number of temporal units in T.

2.

Define a specified number of agents, A_Z, in line with the pre-conceived spatial concentration across the landscape,

3.

for an agent A_z:

a) for a temporal bin k_t ⊂ T and allowed number of time steps, s

i) Sample the locations around the agent and determine the next agent’s location, using the inbuilt (ABM) decision-making process (e.g., preferring low resistance to high resistance location)

ii) Draw a new state while transiting to the new location (a_n)_n𝜖N using the in-built stochastic (MSM) function,

iii) Record agent’s current details (i.e., location ID, x, y coordinates, time stamp, state, etc.),

iv) Return to 4a (i) if n < s.

b) Commence the next temporal bin, k_t

4.

Next agent (A_i)i 𝜖 I.