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Selection: Voinov:A [12 articles] 

Publications by author Voinov:A.

Integrated environmental modeling: a vision and roadmap for the future

Environmental Modelling & Software, Vol. 39 (January 2013), pp. 3-23,


Integrated environmental modeling (IEM) is inspired by modern environmental problems, decisions, and policies and enabled by transdisciplinary science and computer capabilities that allow the environment to be considered in a holistic way. The problems are characterized by the extent of the environmental system involved, dynamic and interdependent nature of stressors and their impacts, diversity of stakeholders, and integration of social, economic, and environmental considerations. IEM provides a science-based structure to develop and organize relevant knowledge and information and apply it to ...


Selecting among five common modelling approaches for integrated environmental assessment and management

Environmental Modelling & Software, Vol. 47 (September 2013), pp. 159-181,


[Highlights] [::] We review five common integrated modelling approaches. [::] Model choice considers purpose, data type, scale and uncertainty treatment. [::] We present a guiding framework for selecting the most appropriate approach. [Abstract] The design and implementation of effective environmental policies need to be informed by a holistic understanding of the system processes (biophysical, social and economic), their complex interactions, and how they respond to various changes. Models, integrating different system processes into a unified framework, are seen as useful tools to help ...


Supporting environmental and energy decisions through an open software structure

In Proceedings of the iEMSs Third Biennial Meeting: "Summit on Environmental Modelling and Software" (July 2006)


Public participation to environmental planning and management decisions, as suggested by local Agenda 21 processes, can be supported by software tools developed with a cyclic interaction with all the stakeholders and simple enough to be quickly operated by a large set of heterogeneous users. This also helps preventing their rapid aging and their excessive dependence on changing technologies. We experimented the development of such software tools using an Office type environment to store data, analyse, and geographically represent the effects of ...


Outstanding reviewers for environmental modelling and software in 2007

Environmental Modelling & Software, Vol. 23, No. 12. (December 2008), 1343,


[Excerpt] In recognition of our reviewers and to encourage high standards of constructive assessment in the journal, the Editors of EMS have instituted ‘Outstanding Reviewer Awards.’ These awards will be made annually through consultation among the Editors. The criteria for awards are based on constructiveness and depths of reviews, with some weight being given also to the number of reviews undertaken, as well as the turnaround time for the reviews. In any 1 year, a minimum of two reviews is required. ...


Outstanding reviewers for environmental modelling and software in 2008

Environmental Modelling & Software, Vol. 24, No. 10. (October 2009), pp. 1137-1138,


[Excerpt] Established in 2007, the ‘Outstanding Reviewer Awards’ are being presented annually to recognize the dedication and efforts of our reviewers and to encourage high standards of constructive assessment in the journal. In 2008, 723 reviewers graciously offered their expertise to provide the editors with their professional advice on the scientific merit of works submitted to the journal. Ten awardees were shortlisted through consultation among the Editors, who considered the constructiveness and depths of reviews, the number of reviewers performed and ...


Outstanding reviewers for Environmental Modelling and Software in 2009

Environmental Modelling & Software, Vol. 25, No. 10. (October 2010), 1063,


[Excerpt] Reviewers are key to the quality of Environmental Modelling and Software. They provide their advice, expertise and professional opinion on papers submitted to the journal to help ensure scientific rigour and validity in the works published. In 2009, 646 reviewers graciously provided their time and effort to the journal, and of these ten have been shortlisted to receive ‘Outstanding Reviewer Awards’. These awards are presented annually to recognize the dedication of those reviewers and to encourage high standards of constructive ...


Outstanding reviewers for Environmental Modelling and Software in 2013

Environmental Modelling & Software, Vol. 57 (July 2014), pp. iii-iv,


[Excerpt] Reviewers play a crucial role in helping the journal maintain its position as a leader in environmental modelling and software methodology by ensuring the high quality of its publications. We are grateful to each and every one of the 1152 reviewers who dedicated their time and expertise to the journal in 2013. In particular, we recognize the exceptional contributions made by our ‘Reviewer of the Year’ Gerry Laniak and the ten ‘Outstanding Reviewer Award’ recipients, listed below. These awardees were ...


Outstanding reviewers for Environmental Modelling and Software in 2010

Environmental Modelling & Software, Vol. 31 (May 2012), pp. 1-2,


[Excerpt] Environmental Modelling and Software’s high reputation would not be possible without the support from our reviewers who dedicate their expertise and time to help ensure the works published meet our high standard of scientific rigour and utility. In 2010, the journal was supported by 804 reviewers whose time and efforts are very much appreciated. While we are very grateful to every single one of our reviewers, we have shortlisted ten to receive Outstanding Reviewer Awards which recognize the considerable commitment ...


Characterising performance of environmental models

Environmental Modelling & Software, Vol. 40 (February 2013), pp. 1-20,


In order to use environmental models effectively for management and decision-making, it is vital to establish an appropriate level of confidence in their performance. This paper reviews techniques available across various fields for characterising the performance of environmental models with focus on numerical, graphical and qualitative methods. General classes of direct value comparison, coupling real and modelled values, preserving data patterns, indirect metrics based on parameter values, and data transformations are discussed. In practice environmental modelling requires the use and implementation ...


Semantic Array Programming for environmental modelling: application of the Mastrave library

In 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 (2012), pp. 1167-1176


Environmental datasets grow in size and specialization while models designed for local scale are often unsuitable at regional/continental scale. At regional scale, data are usually available as georeferenced collections of spatially distributed despite semantically atomic information. Complex data intrinsically impose modellers to manipulate nontrivial information structures. For example, multi-dimensional arrays of time series may be composed by slices of raster spatial matrices for each time step, whilst heterogeneous collections of uneven arrays are common when dealing with data analogous to precipitation ...


‘Integronsters’, integral and integrated modeling

Environmental Modelling & Software, Vol. 39 (January 2013), pp. 149-158,


In many cases model integration treats models as software components only, ignoring the fluid relationship between models and reality, the evolving nature of models and their constant modification and recalibration. As a result, with integrated models we find increased complexity, where changes that used to impact only relatively contained models of subsystems, now propagate throughout the whole integrated system. This makes it harder to keep the overall complexity under control and, in a way, defeats the purpose of modularity, when efficiency ...


Species distribution modelling and open source GIS: why are they still so loosely connected?

In 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 (2012), pp. 1481-1488


Species Distribution Models (SDMs) are correlative models that use environmental and/or geographical information to explain patterns of species occurrences. Those models are being used in various fields including climate change, invasive species research, evolutionary biology and epidemiology. Thanks to the availability of increasing computational resources, new methods continue to be developed. However, software packages that include the SDM algorithms usually focus on one or few methods, and have different degrees of integration with other geographical and statistical software. Specifically, SDM implementations ...

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