Pyramids and roses: Alternative images for the governance of fisheries systems

Governors always have some image of what they are governing and why, and of what their role is. These images are often implicit. They are not reflected upon or discussed in the governance process, yet they have real consequences because they are acted upon. Interactive governance theory argues that image formation is an integral part of governance and that images are made as explicit as possible to avoid self-fulfilment. Such a process needs to be interactive and flexible to allow exploration of alternatives to existing governing images for the purpose of enhancing the governability of fisheries systems. In this paper, we contrast the classical image of the governing system (top down decision-making pyramid) and of the human-in-nature system (top down trophic pyramid) with alternative images (roses and inverted pyramid, respectively) and discuss the implication that these different images have on fisheries governance.     

Database design for a multi-scale spatial information system

Abstract

Growth in the available quantities of digital geographical data has led to major problems in maintaining and integrating data from multiple sources, required by users at differing levels of generalization. Existing GIS and associated database management systems provide few facilities specifically intended for handling spatial data at multiple scales and require time consuming manual intervention to control update and retain consistency between representations. In this paper the GEODYSSEY conceptual design for a multi-scale, multiple representation spatial database is presented and the results of experimental implementation of several aspects of the design are described. Object-oriented, deductive and procedural programming techniques have been applied in several contexts: automated update software, using probabilistic reasoning; deductive query processing using explicit stored semantic and spatial relations combined with geometric data; multiresolution spatial data access methods combining poini, line, area and surface geometry; and triangulation-based generalization software that detects and resolves topological inconsistency.