A Survey of Digital Earth

Mahdavi-Amiri, Ali; Alderson, Troy; Samavati, Faramarz

doi:10.1016/j.cag.2015.08.005

Cited by 104 publications

(78 citation statements)

References 132 publications

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“…where ∈ [4,8,12,16,20,24,28,32], and and are the meridional length and zonal length of the component's minimum bounding rectangle (MBR) (see Figure 2). Taking into account what is required to apply the identification code of the city component, we adopted only the 4th, 8th, 12nd, 16th, 20th, 24th, 28th, and 32nd level grids of GeoSOT for location reference.…”

Section: Identification Code Of the City Componentmentioning

confidence: 99%

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An Improved Identification Code for City Components Based on Discrete Global Grid System

Cheng

et al. 2017

IJGI

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City components are important elements of a city, and their identification plays a key role in digital city management. Various identification codes have been proposed by different departments and systems over the years, however, their application has been partly hindered by the lack of a unified coding framework. The use of a code identifying a city component for unified management and geospatial computation across systems is still problematic. In this paper, we put forward an improved identification code for city components based on the discrete global grid system (DGGS). According to their spatial location, city components were identified with one-dimensional integer codes. The results illustrated that this identification code could express the location information of city components explicitly, as well as indicate the spatial distance relationship and the spatial direction relationship between different components. The experiment showed that this code performed better than traditional codes in data query and geospatial computation. Therefore, we concluded that this improved identification code was conducive to the more efficient management of city components, and hence might be used to improve digital city management.

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Section: Identification Code Of the City Componentmentioning

confidence: 99%

“…where n ∈ [4,8,12,16,20,24,28,32], and L MBR and W MBR are the meridional length and zonal length of the component's minimum bounding rectangle (MBR) (see Figure 2). at the optimum grid level is .…”

Section: Identification Code Of the City Componentmentioning

confidence: 99%

An Improved Identification Code for City Components Based on Discrete Global Grid System

Cheng

et al. 2017

IJGI

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“…The closest related approaches for vector map visualizations discussed below can be divided into three categories: (1) texture based, (2) applying geometric subdivision and (3) using shadow volumes. These methods are described in more detail in the survey of interactive visualization of vector data [Kersting and Döllner 2002] and the survey of a digital earth [Mahdavi-Amiri et al 2015]. A possible system description for these methods can be found in [Cozzi and Ring 2011].…”

Section: Vector Map Visualizationmentioning

confidence: 99%

Deferred vector map visualization

Thöny

Billeter

Pajarola

2016

SIGGRAPH ASIA 2016 Symposium on Visualization

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Interactive rendering of large scale vector maps is a key challenge for high-quality geographic visualization software systems. In this paper we present a novel approach for the visualization of large scale vector maps over detailed height-field terrains. Our method uses a deferred line shading approach to render large scale vector maps directly in a screen-space shading stage over a terrain visualization. The fact that there is no traditional geometric polygonal rendering involved allows our algorithm to outperform conventional vector map rendering algorithms for geographic information systems. Our flexible clustered deferred line rendering approach allows a user to interactively customize and apply advanced vector styling methods, as well as the integration into a vector map level-of-detail system. AbstractInteractive rendering of large scale vector maps is a key challenge for high-quality geographic visualization software systems. In this paper we present a novel approach for the visualization of large scale vector maps over detailed height-field terrains. Our method uses a deferred line shading approach to render large scale vector maps directly in a screen-space shading stage over a terrain visualization. The fact that there is no traditional geometric polygonal rendering involved allows our algorithm to outperform conventional vector map rendering algorithms for geographic information systems. Our flexible clustered deferred line rendering approach allows a user to interactively customize and apply advanced vector styling methods, as well as the integration into a vector map levelof-detail system.

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“…Similarly, this hierarchical data structure provided high fidelity in real-time, three-dimensional visual simulation [17]. This solution also exists in SRI's digital earth project [18,19]. Many global datasets also adopt the equal latitude and longitude subdivision for data organization.…”

Section: Equal Latitude and Longitude Global Grid Systemmentioning

confidence: 99%

A Subdivision Method to Unify the Existing Latitude and Longitude Grids

Cheng

Tong

Chen

et al. 2016

IJGI

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Abstract:As research on large regions of earth progresses, many geographical subdivision grids have been established for various spatial applications by different industries and disciplines. However, there is no clear relationship between the different grids and no consistent spatial reference grid that allows for information exchange and comprehensive application. Sharing and exchange of data across departments and applications are still at a bottleneck. It would represent a significant step forward to build a new grid model that is inclusive of or compatible with most of the existing geodesic grids and that could support consolidation and exchange within existing data services. This study designs a new geographical coordinate global subdividing grid with one dimension integer coding on a 2 n tree (GeoSOT) that has 2 n coordinate subdivision characteristics (global longitude and latitude subdivision) and can form integer hierarchies at degree, minute, and second levels. This grid has the multi-dimensional quadtree hierarchical characteristics of a digital earth grid, but also provides good consistency with applied grids, such as those used in mapping, meteorology, oceanography and national geographical, and three-dimensional digital earth grids. No other existing grid codes possess these characteristics.

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A Survey of Digital Earth

Cited by 104 publications

References 132 publications

An Improved Identification Code for City Components Based on Discrete Global Grid System

An Improved Identification Code for City Components Based on Discrete Global Grid System

Deferred vector map visualization

A Subdivision Method to Unify the Existing Latitude and Longitude Grids

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