Setup your own GOAT (alternative)
GOAT is a web-application and is designed to feel at home on the Linux operating system. However, with the help of containers (Docker) and/or virtual machines (VM) you can install it on your Windows or Mac for development and testing.
It is recommended to use Git for fetching the project and if you are on Windows Git Bash is also a nice alternative to the windows command prompt. The setup of GOAT is highly automated, though the user still has many customization options.
Git Bash Tutorial: https://www.atlassian.com/git/tutorials/git-bash/
1. Get a copy of GOAT
Clone the GOAT-repo to a folder of your choice. Navigate first to the folder and run:
git clone https://github.com/goat-community/goat.git (run on your host)
2. Use a Virtual Machine to install Docker and the necessary software
In case you don’t manage to install docker on your Windows or MacOS host, it is recommended to use a Virtual Machine that is controlled by Vagrant.
Install Virtualbox (Version 5.2.18)
Make sure that Hyper-V is enabled on your computer, i.e. it allows virtual machines to run.
Install Vagrant (Version 2.2.2)
It was only tested with the version mentioned above. Accordingly if you want to avoid unexpected issues, stick with these versions. Docker will be automatically installed on your VM.
3. Configure GOAT
There is one key configuration file for setting up GOAT. You can find this file at
At the moment not all configuration possibilities are in here but it is targeted to move more and more of the configuration in here.
It is recommended to open the files with a proper editor such as Visual Studio Code.
4. Prepare your data
If you want to apply the tool to your own study area or adjust the input data, follow the description at Data Preparation.
5. Setup GOAT
5.1. Start Vagrant
You will run similiar steps as in Setup your own GOAT (recommended) but run everything within your VM.
Open a command window and go into the project folder. Run the command:
vagrant up (run on your host)
Go into your VM:
vagrant ssh (run on your host)
Install all the software and start services (Note: Docker is installed on your VM):
sudo docker-compose up -d (run on your VM)(This will start all service you need for docker)
In case you receive the following error message: “Can’t find a suitable configuration file in this directory or any parent. Are you in the right directory?”, open your goat folder via the Windows or MacOS file explorer and copy the
docker-compose.yaml file in the subfolder “app”.
Then run the following command on your VM:
mv docker-compose.yaml ~
And run the
sudo docker-compose up -d command again.
Fill and prepare the goat-database:
sudo docker exec -it goat-database python3 /opt/setup_goat.py -t new_setup (run on your VM)
GOAT allows you to use pre-calculated matrices that are used to visualize the dynamic heatmaps. In order to start the pre-calculation you currently have to start the script manually with the following command:
sudo docker exec -it goat-database python3 /opt/scripts/precalculate_heatmap.py (run on your VM)
Depending on the size of your study-area this can take some time. For Munich approx. 20 minutes.
For more Docker commands checkout:
For more Vagrant commands checkout:
6. Connect to your database
You can connect to the PostgreSQL database with the following default credentials:
Change your credentials especially if you want to run GOAT in production
The default password for your Geoserver instance is:
Password : earlmanigault
You can access Geoserver by typing the following into your browser:
8. View GOAT in the browser
If all steps were successful you will be able to use GOAT by typing the following into your browser:
9. How start and stop GOAT
Navigate to your GOAT-folder (in this folder there should be the docker-compose.yml file)
sudo docker-compose down (run on your VM) (This will stop all running containers)
exit (run on your VM)
vagrant halt (run on your host)
vagrant up (run on your host)
10. Backup Database
Per default the database is configured to run every day a backup at 11 PM. In case your database is not running at that time, the backup will be produced once you start GOAT.
In case you want an immediate backup you can simply run:
sudo docker exec -it goat-database-backup /bin/bash backups.sh (run on your VM)
11. Update data
In case you want to update all your data you can simply run the following from your project directory:
sudo docker exec -it goat-database python3 /opt/setup_goat.py (run on your VM)
!!Note this will drop your database and create a new database.!!
Furthermore you need to run the pre-calculation script again in order to be able to use the heatmaps:
sudo docker exec -it goat-database python3 /opt/data_preparation/Python/precalculate_grid_thematic.py (run on your VM)