Skip to main content

SPACEA: A Custom-Made GIS Toolbox for Basic Marine Spatial Planning Analyses

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Abstract

Marine Spatial Planning (MSP) requires the analysis of the spatial distribution of marine uses and environmental conditions. Such analyses can be carried out with GIS, but standard GIS programs do not feature a toolbox that combines the most needed functionalities for such analyses. The SPACEA toolbox presented here was created to bundle and adapt existing functionalities in one toolbox. SPACEA consists of several script tools that have been designed to be user-friendly and applicable to different analyses for MSP. This includes the processing of different input layers with regard to marine uses and environmental conditions. The main functionalities of SPACEA are exemplified in a fictional case study in the Baltic Sea, where the tools are applied to find potentially suitable areas for mussel farming. The tools feature a user-friendly interface and more experienced users may also use the provided sample codes to run it from the python window or as a stand-alone script. As such, the tools can be applied by users with different levels of GIS knowledge and experience.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The Baltic Marine Environment Protection Commission, also known as Helsinki Commission (HELCOM).

References

  1. Ehler, C., Douvere, F.: Marine Spatial Planning. A Step-by-Step Approach toward Ecosystem-based Management. Intergovernmental Oceanographic Commission and Man and the Biosphere Programme. UNESCO, Paris (2009)

    Google Scholar 

  2. Hassan, D., Alam, A.: Marine spatial planing and the Great Barrier Reef Marine Park Act 1975: an evaluation. Ocean Coast. Manag. 167, 188–196 (2019). https://doi.org/10.1016/j.ocecoaman.2018.10.015

    Article  Google Scholar 

  3. EC: Directive 2014/89/EU establishing a framework for maritime spatial planning. Off. J. Eur. Union. L257, 135–145 (2014)

    Google Scholar 

  4. von Thenen, M., Frederiksen, P., Hansen, H.S., Schiele, K.S.: A structured indicator pool to operationalize expert-based ecosystem service assessments for marine spatial planning. Ocean Coast. Manag. 187, 105071 (2020). https://doi.org/10.1016/j.ocecoaman.2019.105071

    Article  Google Scholar 

  5. van den Burg, S.W.K., Aguilar-Manjarrez, J., Jenness, J., Torrie, M.: Assessment of the geographical potential for co-use of marine space, based on operational boundaries for Blue Growth sectors. Mar. Policy 100, 43–57 (2019). https://doi.org/10.1016/j.marpol.2018.10.050

    Article  Google Scholar 

  6. Nath, S.S., Bolte, J.P., Ross, L.G., Aguilar-Manjarrez, J.: Applications of geographical information systems (GIS) for spatial decision support in aquaculture. Aquac. Eng. 23, 233–278 (2000). https://doi.org/10.1016/S0144-8609(00)00051-0

    Article  Google Scholar 

  7. Benassai, G., Mariani, P., Stenberg, C., Christoffersen, M.: A Sustainability Index of potential co-location of offshore wind farms and open water aquaculture. Ocean Coast. Manag. 95, 213–218 (2014). https://doi.org/10.1016/j.ocecoaman.2014.04.007

    Article  Google Scholar 

  8. Longdill, P.C., Healy, T.R., Black, K.P.: An integrated GIS approach for sustainable aquaculture management area site selection. Ocean Coast. Manag. 51, 612–624 (2008). https://doi.org/10.1016/j.ocecoaman.2008.06.010

    Article  Google Scholar 

  9. Gimpel, A., et al.: A GIS modelling framework to evaluate marine spatial planning scenarios: Co-location of offshore wind farms and aquaculture in the German EEZ. Mar. Policy. 55, 102–115 (2015). https://doi.org/10.1016/j.marpol.2015.01.012

    Article  Google Scholar 

  10. Bricker, S.B., Getchis, T.L., Chadwick, C.B., Rose, C.M., Rose, J.M.: Integration of ecosystem-based models into an existing interactive web-based tool for improved aquaculture decision-making. Aquaculture 453, 135–146 (2016). https://doi.org/10.1016/j.aquaculture.2015.11.036

    Article  Google Scholar 

  11. von Thenen, M., Maar, M., Hansen, H.S., Friedland, R., Schiele, K.S.: Applying a combined geospatial and farm scale model to identify suitable locations for mussel farming. Mar. Pollut. Bull. 156, 111254 (2020). https://doi.org/10.1016/j.marpolbul.2020.111254

    Article  Google Scholar 

  12. Wulf, S., Säbel, A.: Marine Vorrang- und Vorbehaltsgebiete für Windenergieanlagen - Risikoanalyse (marine priority and reservation areas for offshore wind energy) (2016)

    Google Scholar 

  13. EC: Guidance document on aquaculture activities in the context of the Natura 2000 Network (2012)

    Google Scholar 

  14. Baltic EcoMussel: Mussel Farming: The New Baltic Sea Aquaculture Industry (2013). https://doi.org/10.13140/2.1.4849.0561

  15. Holzhüter, W., Luhtala, H., Hansen, H.S., Schiele, K.S.: Lost in space and time? A conceptual framework to harmonise data for marine spatial planning. Int. J. Spat. Data Infrastruct. Res. 14, 108–132 (2019). https://doi.org/10.2902/1725-0463.2019.14.art05

    Article  Google Scholar 

  16. Bonnevie, I.M., Hansen, H.S., Schrøder, L.: Assessing use-use interactions at sea: a theoretical framework for spatial decision support tools facilitating co-location in maritime spatial planning. Mar. Policy 106, 103533 (2019). https://doi.org/10.1016/j.marpol.2019.103533

    Article  Google Scholar 

  17. Hansen, H.S.: Cumulative impact of societal activities on marine ecosystems and their services. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11621, pp. 577–590. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24302-9_41

    Chapter  Google Scholar 

  18. Gagatsi, E., Giannopoulos, G., Aifantopoulou, G., Charalampous, G.: Stakeholders-based multi-criteria policy analysis in maritime transport: from theory to practice. Transp. Res. Procedia 22, 655–664 (2017). https://doi.org/10.1016/j.trpro.2017.03.062

    Article  Google Scholar 

Download references

Acknowledgements

The research has been carried out within the BONUS BASMATI project, which has received funding from BONUS (Art. 185), funded jointly by the EU, Innovation Fund Denmark, Swedish Research Council Formas, Academy of Finland, Latvian Ministry of Education and Science, and Forschungszentrum Jülich GmbH, Germany.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miriam von Thenen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

von Thenen, M., Hansen, H.S., Schiele, K.S. (2020). SPACEA: A Custom-Made GIS Toolbox for Basic Marine Spatial Planning Analyses. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12252. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58811-3_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58810-6

  • Online ISBN: 978-3-030-58811-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics