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=Metadata=
=Metadata=
===Data Source===
===Data Source===
[https://maps.helcom.fi/website/mapservice/ HELCOM]
This layer is originated by our dynamic model SEL.
===Original Title===
===Original Title===
2016 Tanker AIS Shipping Density
Not applicable


===Description===
===Description===
"This dataset represents the density of all IMO Tanker ships operating in the Baltic Sea. Density is defined as the number of ships crossing a 1 x 1km grid cell.
Not applicable
 
It is based on HELCOM AIS (Automatic Identification System) data. The HELCOM AIS network hosts all the AIS signals received by the Baltic Sea States since 2005.
 
The AIS Explorer allows to compare density maps of different ship types per month: <nowiki>http://maps.helcom.fi/website/AISexplorer/</nowiki>
 
The data was processed to produce density maps and traffic statistics. All scripts are available in GitHub: <nowiki>https://github.com/helcomsecretariat</nowiki>. The production of these maps have been carried out 2016-2017 through the HELCOM project on the assessment of maritime activities in the Baltic Sea. The underlying AIS data processing work has been co-financed by EU projects Baltic Scope (2015-2017 EASME/EMFF/2014/1.2.1.5) and Baltic Lines (2016-2019, Interreg Baltic Sea Region). In addition, the Ministry of the Environment of Finland supported the work with a special contribution in view of the use of the results in the HOLAS II process."
 
Description retrieved from HELCOM's metadata page for this resource (19-07-2021)


===Creation Date===
===Creation Date===
25-02-2018
Not applicable
===Methodology===
===Methodology===
Reclassified for MSP Challenge usage.
The core shipping simulation is generic (meaning it doesn't depend on a specific region) and was developed by Breda University of Applied Sciences' Phil de Groot, based on collaboration with several colleagues (notably Carlos Santos and Wilco Boode). As a separate application, it takes input data from the MSP Challenge server on the different shipping routes and port within each edition to calculate the (future) impact of MSP decisions on shipping routes. This is dynamically shown in key performance indicators (e.g. route efficiencies) and visualised in heat maps of ship traffic.
 
Read more about SEL's design and implementation [https://pure.buas.nl/en/publications/a-shipping-simulation-through-pathfinding-sel-within-the-msp-chal in this paper] written for and presented at the Game-On 2019 conference in Breda, the Netherlands.
<headertabs />
<headertabs />

Revision as of 14:05, 19 July 2021

Tanker Intensity
Layer Tanker Intensity.png
Layer Info
Category Activities
Subcategory Shipping activity
Editable No
Data type Raster
Types or Values
Extremely Low
Low
Medium
High
Extra High
Extreme

Description

Intensity of tanker vessels (Liquidbulk)

MSP Challenge

This is a static layer for information purpose only. This layer is not always available.

This layer is not always available.

ON THIS TAB VISUAL CONTENT IS PLACED

Data Source

This layer is originated by our dynamic model SEL.

Original Title

Not applicable

Description

Not applicable

Creation Date

Not applicable

Methodology

The core shipping simulation is generic (meaning it doesn't depend on a specific region) and was developed by Breda University of Applied Sciences' Phil de Groot, based on collaboration with several colleagues (notably Carlos Santos and Wilco Boode). As a separate application, it takes input data from the MSP Challenge server on the different shipping routes and port within each edition to calculate the (future) impact of MSP decisions on shipping routes. This is dynamically shown in key performance indicators (e.g. route efficiencies) and visualised in heat maps of ship traffic.

Read more about SEL's design and implementation in this paper written for and presented at the Game-On 2019 conference in Breda, the Netherlands.

This page was last edited on 19 July 2021, at 14:05. Content is available under GPLv3 unless otherwise noted.