Modular Data-Transformation Modelling with Geospatial Semantic Array Programming
de Rigo, D., Modular Data-Transformation Modelling with Geospatial Semantic Array Programming. FigShare Digital Science. DOI: 10.6084/m9.figshare.842695
Modular Data-Transformation Modelling with Geospatial Semantic Array Programming
Daniele de Rigo
Summary. Wide-scale transdisciplinary modelling for environment (WSTMe) is a scientific challenge with an increasingly important role in allowing strategic policy-making to be effectively discussed and programmed with the support of robust science [1]. Natural resources such as forests, water and soil, along with climate and human-driven changes, are subject to a network of interactions, whose large scale effects may be significant.
WSTMe raises challenging issues when the characteristic heterogeneity of available geospatial information, complexity of systems and multiple sources of uncertainty (including those related to scientific software [2]) may affect the robustness, transparency and comprehensibility of hypotheses and results. In this respect, earth observation and computational science [3,4] are intrinsically linked and expected to deal with such a modular array of transdisciplinary aspects while preserving as much as possible conciseness and a terse semantics [5]. This is desirable in order to better communicate key messages and issues, both among different scientific communities and at the science-policy interface.
Geospatial Semantic Array Programming (GeoSemAP) is a new approach [6] for WSTMe that has recently emerged in which a concise integration is introduced among semantics, geospatial tools and the array of data-transformation models (D-TM). WSTMe may often be described as a composition of D‑TMs where the flow of initial and derived/intermediate geo‑data highlights its array-based modular structure and semantics. Transparency (even due to the open science approach) is also a goal, to aid society in clearly understanding and controlling the implications of the technical apparatus on collective environmental decision-making [1–6].
Caption of the image. Wide-scale transdisciplinary modelling for environment (WSTMe) may often be described as a composition of data-transformation models (D‑TM) where the flow of initial and derived/intermediate geo‑data highlights its array-based modular structure and semantics (Geospatial Semantic Array Programming, GeoSemAP). Sources: [2,6].
References
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[2] de Rigo, D., 2013. Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science. Geophysical Research Abstracts 15, 13292+. http://scholar.google.com/scholar?cluster=13790404181931852043
[3] Peng, R. D., 2011. Reproducible Research in Computational Science. Science 334 (6060), 1226-1227. http://scholar.google.com/scholar?cluster=905554772905069177
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[5] de Rigo, D., 2012. Semantic Array Programming for Environmental Modelling: Application of the Mastrave Library. In: Seppelt, R., Voinov, A. A., Lange, S., Bankamp, D. (Eds.), International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software. Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting. pp. 1167-1176. http://scholar.google.com/scholar?cluster=6628751141895151391
[6] de Rigo, D., Corti, P., Caudullo, G., McInerney, D., Di Leo, M., San-Miguel-Ayanz, J., 2013. Toward Open Science at the European Scale: Geospatial Semantic Array Programming for Integrated Environmental Modelling. Geophysical Research Abstracts 15, 13245+. http://scholar.google.com/scholar?cluster=17118262245556811911
