A Shape-Based Buffering Method

Mu, Lan

doi:10.1068/b33046

Cited by 9 publications

(3 citation statements)

References 37 publications

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“…Buffering can be used for raster and vector layers in geographical information system (GIS) applications for proximity analysis ( 36 ). A buffer creates a polygonal zone with a given distance by the user surrounding a spatial data feature, which is the trajectory data of the vehicle.…”

Section: Methodsmentioning

confidence: 99%

Extraction of Road Lane Markings from Mobile LiDAR Data

Zeybek

2021

Transportation Research Record: Journal of the Transportation R

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This study presents a method for automatic extraction of road lane markings from mobile light detection and ranging (LiDAR) data. Road lanes and traffic signs on the road surface provide safe driving for drivers and aid traffic flow movement along the highway and street. Mobile LiDAR systems acquire massive datasets very quickly in a short time. To simplify the data structure and feature extraction, it is essential for traffic management personnel to apply the right methods. Road lanes must be visible and are a major factor in road safety for drivers. In this study, a methodology is devised and implemented for the extraction of features such as dashed lines, continuous lanes, and direction arrows on the pavement from point clouds. Point cloud data was collected from the Riegl VMX-450 mobile LiDAR system. The alpha shape algorithm is implemented on a point cloud and compared with the widespread use of edge detection techniques applied for intensity-based raster images. The proposed methodology directly extracts three-dimensional and two-dimensional road features to control the quality of road markings and spatial positions with the obtained marking boundaries. State-of-the-art results are obtained and compared with manually digitized reference markings. The standard deviations were evaluated and acquired for intensity image-based and direct point cloud-based extractions, at 1.2 cm and 1.7 cm, respectively.

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Section: Methodsmentioning

confidence: 99%

Extraction of Road Lane Markings from Mobile LiDAR Data

Zeybek

2021

Transportation Research Record: Journal of the Transportation R

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“…In addition, cultivated areas were subtracted, but with data from another map base. The map of potential forest regeneration areas was then combined with the 180 random tourist locations that were buffered (function: buffer) by a 2 km radius, following the recommendations for GIS-buffering by Mu (2008). The overlay (function: intersect) between the buffered tourist locations and DMK were performed with high resolution data (Table 1), to enable statistics of the area categories within the buffered area.…”

Section: Methodological Overviewmentioning

confidence: 99%

GIS-based Prognosis of Potential Forest Regeneration Affecting Tourism Locations and Cultural Landscapes in South Norway

Bryn

Debella-Gilo

2011

Scandinavian Journal of Hospitality and Tourism

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The Norwegian landscape is changing as a result of forest regeneration within the cultural landscape, and forest expansion has impacts on accessibility, visibility, and landscape aesthetics, thereby affecting the country's tourism industry. This study aimed at identifying the potential areas of forest regeneration and anticipated subsequent landscape effects on different categories of tourist locations in southern Norway. Deforested areas with a potential for forest regeneration were identified from several map sources by GISanalyses, and 180 tourist locations were randomly selected from the Norwegian national tourism database (Reiselivsbasen), and then buffered by 2 km radius for land cover classes. The findings revealed that approximately 15% of southern Norway has the climatic potential for future forest regeneration, in addition to 5% of cultivated land. Future forest regeneration will affect the landscapes surrounding the tourist locations of rural south Norway, and while the potential is nationwide, it is not uniformly distributed. Two important tourist landscape regions seem especially exposed to forest regeneration: the coastal heath region and the mountain landscapes. Large parts of these areas do not have sufficient numbers of domestic grazing animals necessary to maintain the present character of the landscape.

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“…Furthermore, there are endeavors to extend normal spatial buffering to its anisotropic version. One example is Mu (), which introduced an anisotropic buffering process by allowing the distance to be relative in different directions, with the aim of making sure the buffering process in all directions simultaneously reaches the boundary of Voronoi polygons built from a geometry set. For instance, if a geometry's Voronoi polygon had a shape that was elongated in the west–east direction, then the generated buffer for this geometry would have greater length in the west–east direction.…”

Section: Where Direction Has Been Consideredmentioning

confidence: 99%

Making direction a first‐class citizen of Tobler's first law of geography

Zhu

Janowicz

Mai

2019

Transactions in GIS

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Waldo Tobler frequently reminded us that the law named after him was nothing more than calling for exceptions. This article discusses one of these exceptions. Spatial relations between points are frequently modeled as vectors in which both distance and direction are of equal prominence. However, in Tobler's first law of geography, such a relation is described only from the perspective of distance by relating the decreasing similarity of observations in some attribute space to their increasing distance in geographic space. Although anisotropic versions of many geographic analysis techniques, such as directional semivariograms, anisotropy clustering, and anisotropic point pattern analysis, have been developed over the years, direction remains on the level of an afterthought. We argue that, compared to distance, directional information is still under‐explored and anisotropic techniques are substantially less frequently applied in everyday GIS analysis. Commonly, when classical spatial autocorrelation indicators, such as Moran's I, are used to understand a spatial pattern, the weight matrix is only built from distance, without direction being considered. Similarly, GIS operations, such as buffering, do not take direction into account either, with distance in all directions being treated equally. In reality, meanwhile, particularly in urban structures and when processes are driven by the underlying physical geography, direction plays an essential role. In this article we ask whether the development of early GIS, data (sample) sparsity, and Tobler's law lead to a theory‐induced blindness for the role of direction. If so, is it possible to envision direction becoming a first‐class citizen of equal importance to distance instead of being an afterthought only considered when the deviation from a perfect circle becomes too obvious to be ignored?

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A Shape-Based Buffering Method

Cited by 9 publications

References 37 publications

Extraction of Road Lane Markings from Mobile LiDAR Data

Extraction of Road Lane Markings from Mobile LiDAR Data

GIS-based Prognosis of Potential Forest Regeneration Affecting Tourism Locations and Cultural Landscapes in South Norway

Making direction a first‐class citizen of Tobler's first law of geography

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