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Reinventing residual reserves in the sea: are we favouring ease of establishment over need for protection?
As systems of marine protected areas (MPAs) expand globally, there is a risk that new MPAs will be biased toward places that are remote or unpromising for extractive activities, and hence follow theExpand
GIS-Based Multiple-Criteria Decision Analysis
TLDR
This paper provides background for GIS users, analysts and researchers to quickly get up to speed on MCDA, supporting the ultimate goal of making it more accessible to decision makers. Expand
Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data
TLDR
This paper presents the design of such a tool that can manage heterogeneous data quality information and provide functions to support expert users in the assessment of the fitness for use of a given dataset. Expand
Thirty Years of Research on Spatial Data Quality: Achievements, Failures, and Opportunities
TLDR
This article reflects on the past 30 years of academic research in the field of spatial data quality and tries to identify the main achievements, failures, and opportunities for future research. Expand
Fundamentals of Spatial Data Quality
TLDR
This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Expand
Multidimensional Management of Geospatial Data Quality Information for its Dynamic Use Within GIS
Metadata should help users to assess the quality (fitness for use) of geospatial data, thus reducing the risk of data misuse. However, metadata presents limitations and remain largely unused. ThereExpand
Improving Volunteered Geographic Information Quality Using a Tag Recommender System: The Case of OpenStreetMap
TLDR
We propose an approach for both improving the semantic quality and reducing the semantic heterogeneity of VGI datasets by using a tag recommender system, called OSMantic, which automatically suggests relevant tags to contributors during the editing process. Expand
Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic
Windle, M. J. S., Rose, G. A., Devillers, R., and Fortin, M-J. 2010. Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from theExpand
A Roadmap for Using the UN Decade of Ocean Science for Sustainable Development in Support of Science, Policy, and Action
The health of the ocean, central to human well-being, has now reached a critical point. Most fish stocks are overexploited, climate change and increased dissolved carbon dioxide are changing oceanExpand
Spatial scale and geographic context in benthic habitat mapping: review and future directions
Understanding the effects of scale is essential to the understanding of natural eco - systems, particularly in marine environments where sampling is more limited and sporadic than in terrestrialExpand
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