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Structural mapping
Published in John Loui Porathur, Pijush Pal Roy, Baotang Shen, Shivakumar Karekal, Highwall Mining, 2017
John Loui Porathur, Pijush Pal Roy, Baotang Shen, Shivakumar Karekal
The large, quasi-planar exposures associated with highwall mining provide an ideal environment for structural mapping, particularly when performed via remote, digital means. Digital photogrammetry allows the rapid acquisition of georeferenced data with high spatial resolution and colour representation to be acquired from a safe working distance. Digital mapping allows the practitioner to map much larger areas of exposure than were typically possible via manual methods. Combined, the two technologies allow for the creation and collation of voluminous data sets of rock mass structures within a practical time. This in turn provides a way of quantifying uncertainties associated with structural properties. The availability of data from larger sampling areas than those traditionally used can reveal larger uncertainties than are sometimes assumed if only small sample sizes are used.
Speaking of location: a review of spatial language research
Published in Spatial Cognition & Computation, 2022
Kristin Stock, Christopher B. Jones, Thora Tenbrink
The spatial world is represented by various types of digital models, one of which is digital mapping. In digital maps the locations on the earth of physical and social phenomena are commonly represented quantitatively in vector map models in which discrete entities such as buildings, roads, rivers and socio-economic regions are modeled with geometry objects, primarily of either points, lines or areas that are defined by geographical (latitude and longitude or map grid) coordinates. The geometry objects are associated with semantic categories and statistics of the phenomena they represent. Digital mapping plays a key role in digital studies of spatial language, since spatial language references objects in the spatial world. For example, methods for automated georeferencing of spatial language rely on digital representations, including coordinated location, of places and feature types referenced in spatial language descriptions and their surroundings. Thus to georeference the accident on the Auckland Harbor Bridge, we need to know the location of the bridge, and to make useful recommendations to emergency services, we need to know about the surrounding area, including access routes etc. At more localized scales a digital map might also be used or created to represent the environment of a robot that was controlled by or generated spatial language.