2020
DOI: 10.3390/ijgi9030148
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GIScience Theory Based Assessment of Spatial Disparity of Geodetic Control Points Location

Abstract: Geodetic networks provide a spatial reference framework for the positioning of any geographical feature in a common and consistent way. An even spatial distribution of geodetic control points assures good quality for subordinate surveys in mapping, cadaster, engineering activities, and many other land administration-oriented applications. We investigate the spatial pattern of geodetic control points based on GIScience theory, especially Tobler's Laws in Geography. The study makes contributions in both the rese… Show more

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Cited by 8 publications
(3 citation statements)
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“…Generally speaking, the higher the concentration of points of interest, the more intensive the production and living activities in the region and vice versa (Wang et al, 2018). Compared with methods such as the quadrant density and Voronoi diagram density, the kernel density method has more advantages in the expression of spatial features of points of interest (Bielecka et al, 2020). Therefore, this study uses the kernel density analysis method to simulate the heat map of the point of interest.…”
Section: Kernel Density Estimationmentioning
confidence: 99%
“…Generally speaking, the higher the concentration of points of interest, the more intensive the production and living activities in the region and vice versa (Wang et al, 2018). Compared with methods such as the quadrant density and Voronoi diagram density, the kernel density method has more advantages in the expression of spatial features of points of interest (Bielecka et al, 2020). Therefore, this study uses the kernel density analysis method to simulate the heat map of the point of interest.…”
Section: Kernel Density Estimationmentioning
confidence: 99%
“…The spatial distribution of the point ground objects will change with the spatial scale, and the Ripley's K function can analyze the spatial distribution of the point elements on any scale [39,40]. This tool can be used to analyze the characteristics of clustering or random distribution of elements within a certain distance range, and the spatial scale is the distance (Euclidean distance).…”
Section: Analysis Of the Spatial Clustering Characteristics Of Pointsmentioning
confidence: 99%
“…Geographical data can only be combined with data from other sources if the reference frames are either identical or a transformation between the reference frames is possible. Bielecka et al [14] address a problem connected to the realization of the reference frame with control points. Differences in the spatial distribution can serve as reference for network maintenance.…”
Section: Land Administration Basicsmentioning
confidence: 99%