Synthesis and New Directions
Synthesis and New Directions
复制标题
综合与新方向
DOI:
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发表时间:
2014
期刊:
影响因子:
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通讯作者:
P. Bourgeron
中科院分区:
文献类型:
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作者:
K. Reynolds;P. Hessburg;P. Bourgeron
Spatial decision support systems (SDSS) are (1) customized software applications that (2) apply analytical constructs to (3) spatial data layers, (4) for the purpose of informing specific decisions and decisions makers. What is special about them is how they enable transparent decision-making processes, effectiveness monitoring, adaptive management, and making better future decisions. Custom SDSS applications can be thought of as snapshots of the logic used to make a decision. As such, they are invaluable to grounding management and its edification through learning. An SDSS clearly reveals the logic and data that decision makers use to derive their best decision to solve a specific set of problems. But at best, it represents the hypothesis—‘this is how we thought to solve these problems, given available information’. Subsequent decisions can be informed by the portions of a decision that worked/did not work, with little effort to reconstruct the evaluation, only to adapt it. EMDS is a SDSS development tool. It was conceived for application to the decision-making process of ecosystem management because these decisions are typically complex, multi-layered, and difficult to track, once made. EMDS uses spatial data layers, and there is no real limit to the number of dimensions it can consider in decision making. Here, we summarize how EMDS has been used to date and discuss new directions for expanding its utility. We also discuss how users and applications have influenced, and continue to influence, EMDS development, and new versions will no doubt reflect the evolution of decision making and technology.