Timeliness, continuity or travel time: results of a choice-based analysis exploring public preferences for access to primary care in Canada. [PDF]
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Deep learning-enabled versatile shape perception for soft robots via single-ended multimode fiber. [PDF]
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Gap Measurement Method for Railway Switch Machines Based on the Fusion of Deep Vision and Geometric Features. [PDF]
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Geospatial Data Analysis for Global Maritime Risk Assessment Using the Discrete Global Grid System [PDF]
The effective management of the safety of navigation by coastguards is challenged by the complexity in quantifying and describing the relative risk of accidents occurrence. The discovery of patterns in observation data is reliant on the collection and analysis of significant volumes of relevant heterogenous spatial datasets.
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A discrete square global grid system based on the parallels plane projection
International Journal of Geographical Information Science, 2009We developed a direct partitioning method to construct a seamless discrete global grid system (DGGS) with any resolution based on a two-dimensional projected plane and the earth ellipsoid. This DGGS is composed of congruent square grids over the projected plane and irregular ellipsoidal quadrilaterals on the ellipsoidal surface.
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Discrete Global Grid Systems with quadrangular cells as reference frameworks for the current generation of Earth observation data cubes [PDF]
Discrete Global Grid Systems are spatial reference frameworks that associate information to multi-resolution grids of uniquely identified cells; they are proposed as mechanisms to facilitate the efficient integration of heterogeneous spatial data.
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Efficient encoding and spatial operation scheme for aperture 4 hexagonal discrete global grid system
Discrete global grid systems (DGGSs) are considered to be promising structures for global geospatial information representation. Square and triangular DGGSs have had the advantage over hexagonal ones in geospatial data processing over the past few ...
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Global discrete grid systems analysis and comparison
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012With the development of Earth observation technology, the traditional local area research methods are facing great challenges. How to effectively manage and use the massive spatial data has become a key issue for academic and applied science community.
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Datacubes: A Discrete Global Grid Systems Perspective
Cartographica, 2019Datacubes are increasingly being implemented to manage big data workflows efficiently, particularly those for processing geospatial data. However, there is confusion in both the definition of the term “datacube” and the choices for how it is implemented.
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