Methods of Regional Analysis: An Introduction to Regional Science.

Applying design thinking methods to ecosystem management tools: Creating the Great Lakes Aquatic Habitat Explorer

https://link.springer.com/content/pdf/10.1186%2Fs40663-016-0062-y.pdf

A decision framework for identifying models to estimate forest ecosystem services gains from restoration

Over the last few years, there has been a revolution in the availability of information and in the development and application of tools for its management. As a consequence, decision-making nowadays underpins on an ever increasing amount of data and there is thus a need to allocate the Decision Makers attention efficiently. This need is real, above all, in the context of sustainability assessments which are based on a multidimensional concept, including socioeconomic, ecologic, technical and ethical perspectives. Within this context, a very important role is played by the so called MulticriteriaSpatial Decision Support Systems (MC-SDSS; Malczewski, 1999), which, being based on Geographic Information Systems (GIS) and Multicriteria Decision Analysis (MCDA) coupling, represent a very efficient tool to implement a multiinter disciplinary, participative and transparent approach. Conventional MCDA techniques have largely been non-spatial, using average or total impacts that are deemed appropriate for the entire area under consideration. This assumption is however rather unrealistic because in many cases evaluation criteria vary across space. Many decision-making problems are thus based on spatial (geographical) information, thus giving rise to the so called location decisions which represent now a major part of operations research and management science. There is now a well established body of literature on GIS-MCDA integration and the techniques and the applications concerning GIS-based multicriteria decision analysis have been recently discussed in a very interesting study developed by J. Malczewski (2006). From 2000 the number of studies has been increasing worldwide and several applications can be found in different fields. Starting from the study developed by Malczewski, the present paper expands the survey and classification of the literature concerning MCDA and GIS integration by considering the period 2007-2011. The paper thus provides a review on recent efforts and developments in the MC-SDSS field, highlighting which methodological approaches are more commonly used with reference to the MCDA components (Multi-objective Decision Analysis versus Multi-attribute Decision Analysis), the GIS components (raster versus vector data models), the aggregation rule used, the decision process approach (value focused thinking versus alternative focused thinking), the extent of the GIS and MCDA integration and the type of application domain and decision problem. The main objective of the present contribution is thus to survey and classify the most recently published GIS-MCDA articles. The search for relevant publications has been performed using the SCOPUS web based scientific database; it was limited to articles published in refereed journals and it was done using a Boolean search based on a combination of keywords. The electronic search indicated that 365 articles appeared in refereed journals between 1990 and 2011, showing a growing trend in GIS based MCDA applications in recent years. The paper thus provides taxonomy of the articles published between 2007 and 2011 by identifying trends and developments in GIS-MCDA. The results of the performed classification highlights that MC-SDSS are commonly applied to land suitability analysis in the context of urban and regional planning and are usually based on a loose coupling approach and on a value focused thinking framework.

/pdf/integrating-multicriteria-analysis-and-geographic-3ryg97h0an.pdf

Integrating Multicriteria Analysis and Geographic Information Systems: a survey and classification of the literature

The livelihood of coastal communities is directly linked to the health of intertidal and marine ecosystems. Coastal zones and marine areas are rapidly changing and highly vulnerable to impacts from climate change, accelerating human development, and over-fishing. Quality of life and the benefits of coastal development can be greatly enhanced, and costs minimized, by projecting and comparing alternative policy outcomes before management decisions are made. This article describes the Marine Integrated Decision Analysis System (MIDAS), an interactive decision support tool designed to assist the users and managers of Belize's system of marine management areas (MMAs) in understanding the interactions among various ecological, socioeconomic, and governance conditions in a spatially explicit manner. MIDAS can simulate and visualize the likely effects of alternative management strategies and therefore provides an important tool for evaluating potential scenarios. We developed two MIDAS modules to address specific...

Modeling Coastal and Marine Environmental Risks in Belize: the Marine Integrated Decision Analysis System (MIDAS)

This article describes the design and implementation of Marine Integrated Decision Analysis System (MIDAS), a spatial decision support system (SDSS). MIDAS allows users to select values for a set o...

MIDAS: A Spatial Decision Support System for Monitoring Marine Management Areas

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MIDAS: A Spatial Decision Support System for Monitoring Marine Management Areas