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

Hrishikesh Patel, Sucharita Gopal, Les Kaufman, Matt Carleton, Chris Holden, Valerie Pasquarella, Marta Ribera and Burton Shank

International Regional Science Review, 2011, vol. 34, issue 2, 191-214

Abstract: 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 of governance, ecological and socioeconomic variables. Outcomes resulting from interactions between these variables are then modeled to demonstrate the effectiveness of management in marine managed areas (MMAs) in Belize, Panama, and other areas. MIDAS is written in Java SDK and Runtime Environment (JRE; version 6 update 5) that enables portability across computer platforms. The article describes the utility of MIDAS in three contexts: (I) to assist managers, policy makers, and various stakeholders in understanding the critical determining factors (CDFs) for MMA success, (2) to enhance multi-stakeholder analysis and promote consensus, and (3) to provide a free and intuitive interface with a capability to incorporate user valuations of factors affecting marine management and to generate reports and maps concerning risk. MIDAS has been tested and validated by a variety of users in three workshops.

Keywords: environment; geographic information science; multiobjective and multicriteria analysis; natural resources; spatial decision support systems (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0160017610389329 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:34:y:2011:i:2:p:191-214

DOI: 10.1177/0160017610389329

Access Statistics for this article

More articles in International Regional Science Review
Bibliographic data for series maintained by SAGE Publications ().