The DISPLACE project develops and provides a platform primarily for research to transform the fishers’ detailed knowledge into models, evaluation tools, and methods to deliver the fisheries with analysis and advice. The model intends to serve as a basis for decision support tools for (fishery) managers.

Download an installer for the DISPLACE software for Windows or installation packages for MacOSX-64bit or Ubuntu-18.04LTS and Debian11

Install on Windows

Launch the installer application (the .exe installer), and follow the guide. There are no prerequisites on Windows, and the application should work out of the box.

Install on MacOS

Open the Displace DMG file, then drop the program in the Application folder. There are no prerequisites on MacOS, and the application should work out of the box.

Install on Ubuntu Linux

Ubuntu 18.04LTS has a few prerequisites that must be installed before installing the displace package itself.

Run the following command to install the prerequisites:

$ sudo apt install libgdal20 libgdal-dev libcgal13 libcgal-dev libboost1.65-all-dev libgeographic17 libqt5gui5 libqt5widgets5 libqt5xml5

Then install the msqlitecpp packages provided in the download section:

$ sudo dpkg -i msqlitecpp0_0.9.4_amd64.deb msqlitecpp-dev_0.9.4_amd64.deb

Finally, install the displace package:

$ sudo dpkg -i displace_0.9.22_amd64.deb

If you have any difficulty, try fixing the package dependencies by running:

$ sudo apt --fix-broken install

Any missing package should be automatically installed.

then launch the software with:

$ displacegui

Illustrative datasets are stored on public repositories:

A minimal test dataset is stored on a public repository from here.

A slightly more extensive dataset is stored on a public repository from here. This dataset can actually be replicated just by using the DISPLACE Objects Editor with the default settings. It is precisely given to demonstrate the usefulness of the Objects Editor.

other more extensive datasets for academic work are (among others):

  1. Eastern-Western Baltic cod fisheries
  2. Italian & Croatian demersal fleets in the Adriatic Sea

Once DISPLACE installed the user can load any dataset within DISPLACE. You should first untar or unzip the downloaded dataset, rename the dataset to remove the contingent info (e.g., you should trim DISPLACE_input_myfish_0.9.9-master to DISPLACE_input_myfish) and then go to File>Load to load a scenario .dat file from the simusspe folder, typically baseline.dat.  Have a look here for a quick overview of the model architecture and the folder hierarchy.

Video tutorials are also available on YouTube from here

screenshot_displace_078_2 Source: Bastardie, F., Nielsen, J. R., Eigaard, O. R., Fock, H. O., Jonsson, P., and Bartolino, V. Competition for marine space: modelling the Baltic Sea fisheries and effort displacement under spatial restrictions. – ICES Journal of Marine Science, doi: 10.1093/icesjms/fsu215. (here or here)


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