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Symphony: A tool for ecosystem-based marine spatial planning

Symphony is a method developed by the Swedish Agency for Marine and Water Management (SwAM), to quantitatively weigh ecosystems and environmental pressures. With Symphony, the cumulative environmental impact from different marine spatial planning (MSP) options can be objectively compared. Cumulative environmental impact refers to the combined pressure from different kinds of human activities on the marine ecosystems. This cumulative impact indicates the consequences for the environment. In this way, marine spatial plans can be developed with an ecosystem approach.

This repository contains a specific implementation conceived as an application facilitating building and evaluation of Symphony scenarios, continually developed at the agency since 2019. For more details on the science behind the Symphony method see the project web page at the Swedish Agency for Marine and Water Management.

Features overview

The system is designed to make it as easy and convenient as possible to carry out sophisticated cumulative impact analysis, with special emphasis on the building and comparison of different scenarios. This way, marine planners and managers can get an overview of current environmental impact across geagraphy and also get an estimate on environmental consequences of different planning decisions (scenarios). The main features include:

  • View individual data layers (ecosystem component maps and human pressure maps)
  • Create polygons for further analysis
  • Perform baseline scenario analysis over an arbitrary geographical region (uploaded or drawn polygons, single or grouped)
  • View (and export) graphical and statistical measures of analysis results, including Sankey charts of the impact relationship between components, and cumulative impact of individual components
  • Apply, view, select, and edit sensitivity matrices used for analysis
  • Choose among different result normalization methods, including the ability to specify a user-defined custom normalization value
  • Apply linear transformations over arbitrary regions in a scenario ( $x' = A x + B$, where $x$ is the component intensity at the data point and $x'$ the actual value used in the cumulative impact analysis)
  • Create persistent scenarios consisting of arbitrary numbers of transformed subareas
  • Compare two scenario analyses result side-by-side, including relative differences in graphical and tabular form
  • Ability to make use of user-drawn custom polygons, or upload a polygon definition created in another GIS tool

Architectural overview

The system has been conceived according to SWaM development standards. In concrete terms this implies a web architecture with a Jakarta EE-based backend and a frontend built as an SPA using Angular. Persistent data is managed using JPA and stored in a PostgreSQL database (with spatial extensions) and raster data on a filesystem. Authentication is delegated to the application server and can thus be tailored to organizational needs.

Implementation recommendations

While any Jakarta EE 8.0-compliant application should be OK, during development Wildfly has been used and is thus the recommended choice. At SwAM the frontend is served separately using Apache, although any web server capable of serving static content should do (see Frontend below). The backend has been tested using Wildfly 26.1, PostgreSQL 10 and PostGIS v2.4, but more recent versions should be fine.

The frontend has been built with NodeJS v.16.14.2. More recent versions may cause problems with the specific version of Angular currently employed. The frontend has only been tested on Google Chrome during development, and is thus the recommended choice of user browser client.

Getting the source

There are some test and benchmark code which relies on test resources. For practical reasons these are stored in a separate repository and added as a Git submodule. Therefore, if you would like to run said tests and benchmark code you need to do a recursive clone of this repository, like so:

git clone --recurse-submodules https://github.com/havochvatten/MSP-Symphony.git

Alternatively (if you are cloning through an IDE or such which doesn't allow you to specify the --recurse-submodules flag), you can do

git submodule init
git submodles update 

after doing a regular (non-recursive) clone.

Building

Backend

The backend is located in the symphony-ws directory and is standard single-module Maven project. Building should be a matter of:

cd symphony-ws
mvn package -DskipTests

The build artifacts will end up in the target directory.

There are also tests which can be invoked by Maven, see the section on Tests below.

Frontend

The frontend is managed by Angular CLI, and should thus behave like any other Angular CLI-project. There is more extensive information in frontend/README, but in short a production build should be a matter of:

cd frontend
npm install -g @angular/cli
npm install
ng build

The build artifacts will end up in the frontend/dist directory.

For frontend development there is also the Angular CLI development server, see the frontend README for more details.

Configuration and Deployment

Backend

There are a few steps needed to get the backend up and running:

1. Configure the application server

The system has only been tested in Wildfly and its standalone mode, using the standalone-full.xml configuration. At least two things need be added to the stock Wildfly configuration:

  1. A SymphonyDS data source
  2. A security domain. By default, the security domain is called LDAPAuth in the jboss-web.xml file.

In the case of Wildfly, the data source may be added through the Wildfly CLI, through the web-based management console, or directly in the configuration file as the below XML fragment:

<datasource jndi-name="java:/SymphonyDS" pool-name="SymphonyDS">
    <connection-url>jdbc:postgresql://DATABASE-HOST:5432/symphony</connection-url>
    <driver>postgresql</driver>
    <security>
        <user-name>DATABASE-USER</user-name>
        <password>DATABASE-USER-PASSWORD</password>
    </security>
    <validation>
        <valid-connection-checker class-name="org.jboss.jca.adapters.jdbc.extensions.postgres.PostgreSQLValidConnectionChecker"/>
        <background-validation>true</background-validation>
        <exception-sorter class-name="org.jboss.jca.adapters.jdbc.extensions.postgres.PostgreSQLValidConnectionChecker"/>
    </validation>
</datasource>

As for the security domain, it would depend on the needs of your organisation and installation environment. For an example of a simple setup relying only on a separate filesystem user database see for instance this guide.

2. Populate the database

In order for the system to work the database need to be populated with data. Separate instructions for this procedure is provided in DataImportREADME.

3. (Optional) Override the application runtime configuration properties

The file /app/config/symphony/symphony-global.properties (C:\app\config\symphony\symphony-global.properties on Windows) can be used to override the default application properties bundled in the resource symphony-global.properties. In particular, the api.base_url property may want to be overridden to point to a remote server when running the API tests.

4. Java VM Runtime flags

It is a very good idea to give the system ample heap space to work with, at least a few GBs. Example: -Xmx10G

The system assumes that all strings related to area polygons are in UTF encoding. Current JVMs typically defaults to the default native platform encoding. Notably, on Windows that is not UTF and so if running on Windows specifying -Dfile.encoding=UTF-8 may be necessary (that setting is used also when reading data from the datbase).

Frontend

In the interest of efficiency the frontend is can be served by a separate frontend server. In the case of Apache an example virtual host file is included here. To maintain the same-origin policy and avoid CORS issues the frontend server needs to proxy REST API calls. The above sample Apache configuration file illustrates how to accommodate this.

Another option is to have the application server itself serve the frontend, eliminating the need for a separate frontend server. In the case of Wildfly, see this guide.

Testing

For the backend there are unit tests and tests exercising the REST API. Which one to run is controlled through a pair of Maven profiles.

The skip-apitests is active by default, and so running it is matter of:

mvn test

To run only the API tests activate the only-apitests profile:

mvn test -Pskip-apitests

REST API tests credentials

The API tests need credentials which are acquired from the four properties symphony.username, symphony.password,
symphony.adminusername, and symphony.adminpassword, whose values need to be set appropriately.

They can either be specified in the application properties file (/app/config/symphony/symphony-global.properties) or using a set of -D flags when invoking Maven:

mvn surefire:test ... -Dsymphony.username=XXXX -Dsymphony.password=YYYY ...

Frondend tests

There are also frontend tests, see frontend/README for more details.

Swagger

The package comes bundled with Swagger which can be used for exploring APIs and debugging, but may want to be disabled in a production environment. By default it is available at the /symphony-ws/swagger endpoint.

License

Symphony is licensed under the 2.0 version of the Apache License, see LICENSE.

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