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Toward open science at the European scale: geospatial semantic array programming for integrated environmental modelling

Author

Listed:
  • de Rigo, Daniele
  • Corti, Paolo
  • Caudullo, Giovanni
  • McInerney, Daniel
  • Di Leo, Margherita
  • San-Miguel-Ayanz, Jesús

Abstract

Excerpt: Interfacing science and policy raises challenging issues when large spatial-scale (regional, continental, global) environmental problems need transdisciplinary integration within a context of modelling complexity and multiple sources of uncertainty. This is characteristic of science-based support for environmental policy at European scale, and key aspects have also long been investigated by European Commission transnational research. Approaches (either of computational science or of policy-making) suitable at a given domain-specific scale may not be appropriate for wide-scale transdisciplinary modelling for environment (WSTMe) and corresponding policy-making. In WSTMe, the characteristic heterogeneity of available spatial information and complexity of the required data-transformation modelling (D-TM) appeal for a paradigm shift in how computational science supports such peculiarly extensive integration processes. In particular, emerging wide-scale integration requirements of typical currently available domain-specific modelling strategies may include increased robustness and scalability along with enhanced transparency and reproducibility. This challenging shift toward open data and reproducible research (open science) is also strongly suggested by the potential - sometimes neglected - huge impact of cascading effects of errors within the impressively growing interconnection among domain-specific computational models and frameworks. Concise array-based mathematical formulation and implementation (with array programming tools) have proved helpful in supporting and mitigating the complexity of WSTMe when complemented with generalized modularization and terse array-oriented semantic constraints. This defines the paradigm of Semantic Array Programming (SemAP) where semantic transparency also implies free software use (although black-boxes - e.g. legacy code - might easily be semantically interfaced). A new approach for WSTMe has emerged by formalizing unorganized best practices and experience-driven informal patterns. The approach introduces a lightweight (non-intrusive) integration of SemAP and geospatial tools - called Geospatial Semantic Array Programming (GeoSemAP). GeoSemAP exploits the joint semantics provided by SemAP and geospatial tools to split a complex D-TM into logical blocks which are easier to check by means of mathematical array-based and geospatial constraints. Those constraints take the form of precondition, invariant and postcondition semantic checks. This way, even complex WSTMe may be described as the composition of simpler GeoSemAP blocks. GeoSemAP allows intermediate data and information layers to be more easily and formally semantically described so as to increase fault-tolerance, transparency and reproducibility of WSTMe. This might also help to better communicate part of the policy-relevant knowledge, often diffcult to transfer from technical WSTMe to the science-policy interface. [...]

Suggested Citation

  • de Rigo, Daniele & Corti, Paolo & Caudullo, Giovanni & McInerney, Daniel & Di Leo, Margherita & San-Miguel-Ayanz, Jesús, 2013. "Toward open science at the European scale: geospatial semantic array programming for integrated environmental modelling," MPRA Paper 44194, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:44194
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    References listed on IDEAS

    as
    1. de Rigo, Daniele, 2013. "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper 44201, University Library of Munich, Germany.
    2. Rodriguez Aseretto, Dario & Di Leo, Margherita & de Rigo, Daniele & Corti, Paolo & McInerney, Daniel & Camia, Andrea & San-Miguel-Ayanz, Jesús, 2013. "Free and open source software underpinning the european forest data centre," MPRA Paper 44121, University Library of Munich, Germany.
    3. Funtowicz, Silvio O. & Ravetz, Jerome R., 1994. "The worth of a songbird: ecological economics as a post-normal science," Ecological Economics, Elsevier, vol. 10(3), pages 197-207, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Paunić, Alida, 2016. "Brazil, Preservation of Forest and Biodiversity," MPRA Paper 71462, University Library of Munich, Germany.
    2. de Rigo, Daniele, 2013. "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper 44201, University Library of Munich, Germany.
    3. CISCAR MARTINEZ Juan Carlos & FEYEN Luc & SORIA RAMIREZ Antonio & LAVALLE Carlo & PERRY Miles & RAES Frank & NEMRY Francoise & DEMIREL Hande & RÓZSAI Máté & DOSIO Alessandro & DONATELLI Marcello & SRI, 2014. "Climate Impacts in Europe. The JRC PESETA II Project," JRC Working Papers JRC87011, Joint Research Centre (Seville site).
      • Ciscar, Juan-Carlos & Feyen, Luc & Soria, Antonio & Lavalle, Carlo & Raes, Frank & Perry, Miles & Nemry, Françoise & Demirel, Hande & Rozsai, Máté & Dosio, Alessandro & Donatelli, Marcello & Srivastav, 2014. "Climate Impacts in Europe - The JRC PESETA II Project," MPRA Paper 55725, University Library of Munich, Germany.
    4. Rodriguez Aseretto, Dario & Di Leo, Margherita & de Rigo, Daniele & Corti, Paolo & McInerney, Daniel & Camia, Andrea & San-Miguel-Ayanz, Jesús, 2013. "Free and open source software underpinning the european forest data centre," MPRA Paper 44121, University Library of Munich, Germany.
    5. C. Jacobs-Crisioni & C. C. Koopmans, 2016. "Transport link scanner: simulating geographic transport network expansion through individual investments," Journal of Geographical Systems, Springer, vol. 18(3), pages 265-301, July.

    More about this item

    Keywords

    Open Science; Europe; European Forest Data Centre; EFDAC; free software; free scientific software; forest information system; geospatial; geospatial tools; semantic array programming; geospatial semantic array programming; data-transformation modelling; reproducible research; environmental modelling;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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