Skip to content

PredatorPrey_step12

RoiArthurB edited this page Feb 27, 2024 · 2 revisions

12. Image loading

This 12th step illustrates how to load an image file and to use it to initialize a grid.

Formulation

  • Building of the initial environment (food and food_prod of the cells) from an image file.

Model Definition

global variable

We add a new global variable to store the image data:

file map_init <- image_file("../includes/data/raster_map.png");

The image file is here: Image to initialize the Prey Predator tutorial model.

You have to copy it in your project folder: includes/data/.

Model initialization

In order to have a more complex environment, we want to use this image as the initialization of the environment. The food level available in a vegetation_cell will be based on the green level of the corresponding pixel in the image. You will be able to use such a process to represent an existing real environment in your model.

We modify the global init of the model in order to cast the image file in a matrix.

First of all, when the variable map_init is defined from an image file (or a csv file), it can be manipulated directly as a matrix, with the dimensions of the image (here it is a 50x50 image, which matches with the grid size). In the case we need to resize the image, we can use the file as_matrix {nb_cols, nb_lines} operator that allows converting a file (image, csv) to a matrix composed of nb_cols columns and nb_lines lines.

Concerning the manipulation of a matrix, it is possible to obtain the element [i,j] of a matrix by using my_matrix [i,j].

A grid can be view as a spatial matrix: each cell of a grid has two built-in variables grid_x and grid_y that represent the column and line indexes of the cell.

init {
    create prey number: nb_preys_init ;
    create predator number: nb_predators_init ;
    ask vegetation_cell {
	color <- rgb (map_init at {grid_x,grid_y}) ;
	food <- 1 - (((color as list) at 0) / 255) ;
	food_prod <- food / 100 ; 
    }
}

Complete Model

https://github.com/gama-platform/gama.old/blob/GAMA_1.9.2/msi.gama.models/models/Tutorials/Predator%20Prey/models/Model%2012.gaml
  1. What's new (Changelog)
  1. Installation and Launching
    1. Installation
    2. Launching GAMA
    3. Updating GAMA
    4. Installing Plugins
  2. Workspace, Projects and Models
    1. Navigating in the Workspace
    2. Changing Workspace
    3. Importing Models
  3. Editing Models
    1. GAML Editor (Generalities)
    2. GAML Editor Tools
    3. Validation of Models
  4. Running Experiments
    1. Launching Experiments
    2. Experiments User interface
    3. Controls of experiments
    4. Parameters view
    5. Inspectors and monitors
    6. Displays
    7. Batch Specific UI
    8. Errors View
  5. Running Headless
    1. Headless Batch
    2. Headless Server
    3. Headless Legacy
  6. Preferences
  7. Troubleshooting
  1. Introduction
    1. Start with GAML
    2. Organization of a Model
    3. Basic programming concepts in GAML
  2. Manipulate basic Species
  3. Global Species
    1. Regular Species
    2. Defining Actions and Behaviors
    3. Interaction between Agents
    4. Attaching Skills
    5. Inheritance
  4. Defining Advanced Species
    1. Grid Species
    2. Graph Species
    3. Mirror Species
    4. Multi-Level Architecture
  5. Defining GUI Experiment
    1. Defining Parameters
    2. Defining Displays Generalities
    3. Defining 3D Displays
    4. Defining Charts
    5. Defining Monitors and Inspectors
    6. Defining Export files
    7. Defining User Interaction
  6. Exploring Models
    1. Run Several Simulations
    2. Batch Experiments
    3. Exploration Methods
  7. Optimizing Models
    1. Runtime Concepts
    2. Analyzing code performance
    3. Optimizing Models
  8. Multi-Paradigm Modeling
    1. Control Architecture
    2. Defining Differential Equations
  1. Manipulate OSM Data
  2. Cleaning OSM Data
  3. Diffusion
  4. Using Database
  5. Using FIPA ACL
  6. Using BDI with BEN
  7. Using Driving Skill
  8. Manipulate dates
  9. Manipulate lights
  10. Using comodel
  11. Save and restore Simulations
  12. Using network
  13. Headless mode
  14. Using Headless
  15. Writing Unit Tests
  16. Ensure model's reproducibility
  17. Going further with extensions
    1. Calling R
    2. Using Graphical Editor
    3. Using Git from GAMA
  1. Built-in Species
  2. Built-in Skills
  3. Built-in Architecture
  4. Statements
  5. Data Type
  6. File Type
  7. Expressions
    1. Literals
    2. Units and Constants
    3. Pseudo Variables
    4. Variables And Attributes
    5. Operators [A-A]
    6. Operators [B-C]
    7. Operators [D-H]
    8. Operators [I-M]
    9. Operators [N-R]
    10. Operators [S-Z]
  8. Exhaustive list of GAMA Keywords
  1. Installing the GIT version
  2. Developing Extensions
    1. Developing Plugins
    2. Developing Skills
    3. Developing Statements
    4. Developing Operators
    5. Developing Types
    6. Developing Species
    7. Developing Control Architectures
    8. Index of annotations
  3. Introduction to GAMA Java API
    1. Architecture of GAMA
    2. IScope
  4. Using GAMA flags
  5. Creating a release of GAMA
  6. Documentation generation

  1. Predator Prey
  2. Road Traffic
  3. 3D Tutorial
  4. Incremental Model
  5. Luneray's flu
  6. BDI Agents

  1. Team
  2. Projects using GAMA
  3. Scientific References
  4. Training Sessions

Resources

  1. Videos
  2. Conferences
  3. Code Examples
  4. Pedagogical materials
Clone this wiki locally