1995
DOI: 10.1080/15210609509379757
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A spatial data structure integrating GIS and simulation in a marine environment

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Cited by 42 publications
(21 citation statements)
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“…e neighbouring relations between points are also meaningful because they indicate which points are closest in any given direction. As Gold and Condal (1995) show, this property allows us to handle SBES datasets better than raster-based approach; our experiments corroborate this (see below).…”
Section: Delaunay Triangulation and Voronoi Diagramsupporting
confidence: 76%
See 1 more Smart Citation
“…e neighbouring relations between points are also meaningful because they indicate which points are closest in any given direction. As Gold and Condal (1995) show, this property allows us to handle SBES datasets better than raster-based approach; our experiments corroborate this (see below).…”
Section: Delaunay Triangulation and Voronoi Diagramsupporting
confidence: 76%
“…into Voronoi-based operations on the surface. It should also be noticed that, as demonstrated by Gold and Condal (1995), a Voronoi surface deals elegantly with anisotropic sample distributions, which are common in datasets collected with singlebeam echosounders (SBES). We have implemented our approach1, and we report on experiments made with real-world datasets, including one where MBES and SBES data are mixed.…”
Section: Introductionmentioning
confidence: 99%
“…This has been achieved by Roos (1990), and by Gold (1999), and was used in the maritime GIS described here Goralski and Gold (2007). The advantages for a marine GIS were described in Gold (1999) and Gold and Condal (1995). Thus the shoreline points were incorporated within a kinetic Voronoi diagram layer, expressing the neighbourhood relations on the sea surface, and this was used for collision detection by adding the real-time ship locations.…”
Section: Kinetic Data Structure Requirements and Benefitsmentioning
confidence: 99%
“…Marine GIS evaluates important point of spatial data management for marine applications (Lucas et al, 1994) and it also joins timedependent metadata with in-situ data for marine features and estimation of climate change (Wright et al, 1995). In the following years, development of new theoretical data model for sea bathymetry , ocean discarding and monitoring of ecological impacts (Hall et al, 1995), finding of waste charging sites on the seafloor (Chavez Jr. and Karl, 1995), and new spatial data structure were included to marine GIS (Gold and Condal, 1995). Beusen et al (1995) developed a GIS-based model that integrated geohydrological data for the estimation of loads of nitrogen and phosphorus in the coastal seas of Europe.…”
Section: Short Literature Reviewmentioning
confidence: 99%