1. Hands-On given by Gabriel Wurzer and Wolfgang E. Lorenz

2. Previously: hospital-1 example with interaction
hospital-1.zip on lecture site

3. Demographics The World Patches other Turtles Turtle initial population
development
The World
consisting of
Patches
holding
population
hosting
other Turtles
of breed
hospital
Turtle
of breed
hospital
with constant capacity
(in units of population)
with constant radius
(in patches)
with constant radius
and capacity
compute radius
compute capacity
check adequacy

4. Characterization
Uses statistics (import as (list ..) or (list (list …) …) to generate population
May also use absolute number of people per year (preferred)
May calculate in excel, then transfer just the needed column to Netlogo (preferred)
Maps to be used have to be tweaked (e.g. import three kinds of patches [RED, GREEN, BLUE] into NetLogo, clean the patch errors in NetLogo, export again)

5. hospital-2 example (also on lecture site)
Zone 2
Zone 1
plots (new!)
Zone 0

6. Creating Plots created in the user interface using
give a descriptive name
set x and y labels and min/max
set „show legend“
one plot pen default is already created
can create new ones with „Create“
can set pen mode to Line, Bar, Point

7. Using Plots choose plot with set-current-plot „plot-name“
choose pen with set-current-plot-pen „plot-pen-name“
draw using plotxy x-value y-value

8. Movement The World Patches other Turtles Turtle tools for interacting
initial population
demographic
development
The World
consisting of
Patches
holding
population
hosting
other Turtles
of breed
hospital
Turtle
of breed
hospital
tools for
interacting
with constant capacity
(in units of population)
with constant radius
(in patches)
with constant radius
and capacity
compute radius
compute capacity
check adequacy

9. Movement Moving through world, i.e. agents = patients or hospitals
Prediction of „interesting“ parameters, here: expected treatments per hospital over time, and visualization of these
Technically:
setup
setup hospitals
setup population go
demographics
generate n patients requiring treatment:
choose a hospital for each patient
move patients to hospital (using a loop)

10. Loop? while there are still patients that need treatment (condition)
ask these patients
if distance to hospital > 1 then
move closer towards hospital
else
hospital was reached: increase treatments
remove patient from simulation
loops are similar to a „go“ button, but not the same. why do we
need them (guess?)

11. So far… The button repeats code until it is depressed unpressed again.
There is no „go within go“, however. Repeating things inside go therefore has to take a while loop:
to go
create-patients […]
while treatment is needed
move patients to hospitals ]
end
Usage:
while [ condition ] [
run these commands ]

12. hospital-3 (on lecture site)
Try these

13. Hands-On: Outcome from work in lecture
AgentsFindingHospital on lecture site

14. Thank you !