1. Tutorial for PopModel1.5
2016 Sep

2. In the folder of PopModel 1.5 Program
*.DIE is for Data file
*.PMB is for STAGE MODEL File
*.PMC is for POPULATION MODEL File

3. 1. Instruction of PopModel 1.5
1) Window Structure

8. <Practice 1 : Managing files in FILE TREE>
1) Load Files and see the content in working window
2) Delete File and Reload
3) Copy & Paste
4) Save and Save As

9. 2) DATA Window
Each Data set is composed of Data name and values

10. ◯ Data View Option dialogue box

11. ◯ Import or Export data via Clip board
- USER can copy the DATA and paste it in other program and vice versa

12. <Practice 2 : Managing Data>
1) Change the display mode : text mode <-> graph mode
2) exercise the view option
- check or uncheck the Data set
- convert digit into exponential form
- round up under digit
3) Copy & Paste via clip board
4) Save (as) , load, Reload, Delete, Remove,

13. ◯ Loading data set for model simulation
- X or R Data : STAGE MODEL, POPULATION MODEL
- Initial Value for S0 var. : POPULATION MODEL

14. ◯ Select a Data dialogue box

15. <Practice 3 : management of Data set in X or R Data>
1) Load a data set X, R variable and Delete them
2) Check the data set in X or R Data by clicking
3) Edit the loaded data
- change Name, Range, one of value in specific position
- clear the data
4) make a new data set
- 10 in 150 pos., 25 in 200 pos. 40 in 250 pos

16. 2. STAGE MODLE

17. <Necessary Item>
1. Name
2. Cal. Range
4. Cal. Method
6. Main Function

20. ‘Y=‘ is not necessary

25. <Practice 4 : Calculator>
* Removed loaded Data set in X or R if it is.
1) try a formula below one by one
- Y= 1+2
- Y= e^2
- Y= IF (1>2, SQRT(4), lOG(3)) ……
2) try a multi main function
F1= SQRT(4)
F2 = Log (5)
F3 = F1+ F2
Y= IF ( F1 > F2 , F1, 0)
Y1 = IF ( F1 < F2, F2 , 1)
Y2 = F1*F2+F3
Y3 = Y0 +Y1 +Y2

26. * Load data set on X0 variable
3) Input a multi main function below
F1= SQRT(x)
F2 = Log (x)
F3 = F1+ F2
Y= IF ( F1 > F2 , F1, 0)
Y1 = IF ( F1 < F2, F2 , 1)
Y2 = F1*F2+F3
Y3 = Y0 +Y1 +Y2
and change the value of “Now =“
eg Now =100

27. 4) Exercise Array variable and Functions
Y= X
Y1= X(N)
Y2= X(N-1)
Y3= X(N+1)
Y= X
Y1= X(I)
Y2= X(I-1)
Y3= X(I+1)
Y= X
Y1= X(T)
Y2= X(T-1)
Y3= X(T+1)
< Array function>
Y= SUM(X, I:N)
Y1= MEAN(X, I:N)
Y2= COUNT(X, I:N)
Y3= MAX(X, I:N)
Y4= MIN(X, I:N)
Y= SUM(X, I+1:N-1)
Y1= SUM(X, I:N, X>10)
Y2= COUNT(X, I:N, X>10)
Y3= MEAN(X, I:N, X>10)

28. <Practice 5 : ARRAY >
* Change the Cal. Method into Array and check result
1) try a formula below in various Cal. Range (eg. 5~100)
- Y= 1+2
- Y= e^2
- Y= IF (1>2, SQRT(4), lOG(3)) ……
2) try a multi main function in various Cal. Range
F1= SQRT(4)
F2 = Log (5)
F3 = F1+ F2
Y= IF ( F1 > F2 , F1, 0)
Y1 = IF ( F1 < F2, F2 , 1)
Y2 = F1*F2+F3
Y3 = Y0 +Y1 +Y2

29. 3) Check the result of a multi main function
in various Cal. Range 1~100
after loading a data set on X0
F1= SQRT(x)
F2 = Log (x)
F3 = F1+ F2
Y= IF ( F1 > F2 , F1, 0)
Y1 = IF ( F1 < F2, F2 , 1)
Y2 = F1*F2+F3
Y3 = Y0 +Y1 +Y2

30. 4) Exercise Array variable and Functions
Y= X
Y1= X(N)
Y2= X(N-1)
Y3= X(N+1)
Y= X
Y1= X(I)
Y2= X(I-1)
Y3= X(I+1)
Y= X
Y1= X(T)
Y2= X(T-1)
Y3= X(T+1)
< Array function>
Y= SUM(X, I:N)
Y1= MEAN(X, I:N)
Y2= COUNT(X, I:N)
Y3= MAX(X, I:N)
Y4= MIN(X, I:N)
Y= SUM(X, I+1:N-1)
Y1= SUM(X, I:N, X>10)
Y2= COUNT(X, I:N, X>10)
Y3= MEAN(X, I:N, X>10)

31. <Practice 5 : ARRAY with Start condition >

32. 1) Make a R0 data by editing
- Pos 10 value 10
- Pos 20 value 15
- Pos 30 value 20
- Pos 40 value 15
- Pos 50 value 10
2) Input a condition formula in Start if =
R0 > 0
* All the condition formula used in Start if or End if
has no ‘Y=‘
* The result should be 0 or 1, So USER had better
use comparative operator

33. 3) Check the results with the Main Function below
< Array variable>
Y= X
Y1= X(N)
Y2= X(N-1)
Y3= X(N+1)
Y= X
Y1= X(I)
Y2= X(I-1)
Y3= X(I+1)
Y= X
Y1= X(T)
Y2= X(T-1)
Y3= X(T+1)
< Array function>
Y= SUM(X, I:N)
Y1= MEAN(X, I:N)
Y2= COUNT(X, I:N)
Y3= MAX(X, I:N)
Y4= MIN(X, I:N)
Y= SUM(X, I+1:N-1)
Y1= SUM(X, I:N, X>10)
Y2= COUNT(X, I:N, X>10)
Y3= MEAN(X, I:N, X>10)

34. <Practice 6 : TRANSITION >

35. Result

36. 3) Check the results with the Main Function below
< Array variable>
Y= X
Y1= X(N)
Y2= X(N-1)
Y3= X(N+1)
Y= X
Y1= X(I)
Y2= X(I-1)
Y3= X(I+1)
Y= X
Y1= X(T)
Y2= X(T-1)
Y3= X(T+1)
< Array function>
Y= SUM(X, I:N)
Y1= MEAN(X, I:N)
Y2= COUNT(X, I:N)
Y3= MAX(X, I:N)
Y4= MIN(X, I:N)
Y= SUM(X, I+1:N-1)
Y1= SUM(X, I:N, X>10)
Y2= COUNT(X, I:N, X>10)
Y3= MEAN(X, I:N, X>10)

37. <Practice 7 : Component function >
1) Load the functions onto Component function
C0 : Y= X^2
C1 : Y=log(X)
2) Set the method as ARRAY (without Start if)
and check the result of the Main function
F1=X^2
F2 =LOG(X)
Y=SUM( F1, I:N)
Y1= SUM (C0, I:N)
Y2=SUM( F2, I:N)
Y3= SUM (C1, I:N)
Y=X^2
Y1=C0
Y2=LOG(X)
Y3=C1

38. <Practice 8 : Substitution in C variable >
1) Check the result of Main function
Y= C0( X= 2)
Y1=C1 ( X= C0)
Y2= C0( X=SUM(X, I:N) )
Y3=C1 (X=SUM(C0, I:N))
2) Load more different data on X1, X2
Check the result below
C0 : Y= X^2+ X1+X2
Main Function :
Y= C0(X2=2)
Y1= C0(X=X1, X1=X2)

39. Insect Model Application : Degree-Day
Question 1. if the eggs are laid in 100th day,
when the larva can be hatched?
- Dev. Zero : 10.4
- Thermal constant : 88.7
Cal. Range : START =100
Main Function :
F1= IF (X > P0, X-P0, 0) P0= 10.4
Y= SUM (F1, I: N) P1 = 88.7
Y1= if(Y>P1, 1, 0)

40. Question 2. How many time does this species occur?
(No. Generation per year)
- Dev. Zero : 12.1
- Thermal constant : 533.8
Cal. Range : START =0
Main Function :
F1= IF (X > P0, X-P0, 0) P0= 12.1
Y= SUM (F1, I: N) P1 = 533.8
Y1= INT (Y/P1)

41. Insect Model Application : Non-linear model
Eggs
day 1 2 3 4 5 6 7 8 9
Dev. Rate nodel
Dev. distribution

42. - Occurrence of the hatched larva
No. hatched larva
100 eggs
Today ( N)
data 1 2 3 4 5 6 7 8 9
N-1 of Px
N of Px
- Main function
Y=100*(F1-F2)
F1=C1(X=SUM(C0,I:N))
F2=C1(X=SUM(C0,I:N-1))
- Component functions

43. - Main function Y=100*(F1-F2) Y1=100*(1-F1) F1=C1(X=SUM(C0,I:N))
- The remained egg populaiton
Remained eggs
Hatched larva
100 eggs
Today ( N)
date 1 2 3 4 5 6 7 8 9
- Main function
Y=100*(F1-F2)
Y1=100*(1-F1)
F1=C1(X=SUM(C0,I:N))
F2=C1(X=SUM(C0,I:N-1))

44. Learn from the example file
Eg. egg.PMB
- R0 data is the egg laid date and density
- “ Start if = R0 >0” and role of R0(I) in Main Function
If you add addition model like mortality,
then Y1 formula should be wholly modified
according to your logic.

45. <Practice 9 : G var >
Eg. 1. Make new data for density
- Y= R0* <= adult desity * sex ratio
- Y= INT(R0*0.51) <= No. Female
Y1= R0-Y <= No. male
- Y=S0+S1 <= In Population model,
Initial density + output of previous stage
Eg. 2. make a Data in advance
G var. : Y =if(X> 10.2, X-10.2, 0)
Main Function : Y=Sum(G0, I:N)
Y1= if(Y> 88.5, 1, 0)

46. <Practice 10 : Vertically or horizontally
The case when horizontally method can be used is that
USER need the result of main function (Y) over N position
* Compare the result between them
- Y=X
- Y1=Y(N-1)
- Y2= Y(N+1)

47. 2. POPULATION MODEL - A Group of STAGE MODELs with linkage
Step1. make a linkage
Step2. Fill the content

48. 1) Viewer
This is the place loading Data for S0

49. Y=S0+S1 is a basic formula in G Var.

50. 2) Builder

52. <Practice 1 : Build and selection >
Open PRE/POST RUN and Remove it
Build a various Stage linkage in MAIN
Delete a Stage
Initiate Population model
Load PMB File in a Stage
Copy & Paste
Use New to clean the model info, in a Stage

53. <Practice 2 : Start, Link, and S var Reference>
Change Start Stage
Link to a Stage Main and unlink it
3) Add a Target Stage into S var. reference
4) Remove a Target Stage from S var. reference
5) Initiate S var. reference

55. <Practice 3 : Simulation with S var >
- Make a Stage linkage (See right)
and make 3 stage refer 1 stage with S2 variable
- Cal. Method : ARRAY
- 1 : Main function
Y=X
Y1=X+1
- 2: Main function
Y=S1
Y1=S1Y1
- 3: Main function
Y=S1+S2
Y1=S1Y1+S2Y1

56. <Practice 4 : Simulate example files and analyze it>
1) Load PMC file in Example
2) Load X0 Data
3) Load Initial Data in START Stage
4) change Start Stage and simulate it
5) Multi-Stage simulation
- at 100th day, egg, 20 large, 50 pupae, 4 adult