initialise_enzyme_wmicroclim: Constructs the EKM chart with microclimates. Uses data about...

In beeysian/cairnsmozzie: Agent-based model of Wolbachia release in a nice tidy package

Description

Constructs the EKM chart with microclimates. Uses data about the area of the region we're simulating. If you're using this function for a different area, you will need to change all of the data that's read in in the first part of the function. The lookup table is deterministic, and is made of nested lists. The order will be: [stage][land type][day] So when we update the EKS for each agent, we add the value that is at df[[stage]][land type, ][day] Eg: for an egg that is in land type 1 at time step t=2, we add the value at dt[0][1][2] to the agents' EKS To use this list, indexing works like: EKM_chart[[stage]][land_type, ][day] Land types (as of 16/1/19) are:

1. Uncovered greenery

2. Vegetation

3. Roads

4. Water bodies

5. Carpark/uncovered concrete

6. Large buildings

7. Houses (tempdev informed by house type)

Usage

initialise_enzyme_wmicroclim(
  bdary,
  tempData,
  typeTempDevs,
  noDays,
  noLandTypes,
  gridSize,
  const
)

Arguments

bdary	Boundary of simulation region.
tempData	Vector of average temperatures over the simulation period.
typeTempDevs	Temperature deviates for each land type.
noDays	Number of days in the simulation period.
noLandTypes	Number of different land types we consider.
gridSize	Grid size, as per make_grid and bb_to_matchedIDs functions
const	Constants for EKM calculation.

Value

A list of 4 dataframes for each development stage, of the EKS for each day of the simulation per each land type

beeysian/cairnsmozzie documentation built on Feb. 15, 2021, 12:12 a.m.