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Open AccessArticle

GIScience Theory Based Assessment of Spatial Disparity of Geodetic Control Points Location

Faculty of Civil Engineering and Geodesy, Military University of Technology, 2 gen. Sylwestra Kaliskiego St., 00–908 Warsaw 46, Poland
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ISPRS Int. J. Geo-Inf. 2020, 9(3), 148; https://doi.org/10.3390/ijgi9030148
Received: 3 February 2020 / Revised: 27 February 2020 / Accepted: 1 March 2020 / Published: 3 March 2020
(This article belongs to the Special Issue Applications of GIScience for Land Administration)
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 research and application fields. By utilizing Average Nearest Neighbor, multi-distance spatial cluster analysis, and cluster and outlier analysis, it introduces the comprehensive methodology for ex post analysis of geodetic control points’ spatial patterns as well as the quantification of geodetic networks’ uniformity to regularly dense and regularly thinned. Moreover, it serves as a methodological resource and reference for the Head Office of Geodesy and Cartography, not only the maintenance, but also the further densification or modernization the geodetic network in Poland. Furthermore, the results give surveyors the ability to quickly assess the availability of geodetic points, as well as identify environmental obstacles that may hamper measurements. The results show that the base geodetic control points are evenly dispersed (one point over 50 sq. km), however they tend to cluster slightly in urbanized areas and forests (1.3 and 1.4 points per sq. km, respectively). View Full-Text
Keywords: geodetic control network; Poland; GIScience; point pattern analysis; Ripley’s K-function; kernel density; Moran statistics; LISA; cluster analysis geodetic control network; Poland; GIScience; point pattern analysis; Ripley’s K-function; kernel density; Moran statistics; LISA; cluster analysis
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MDPI and ACS Style

Bielecka, E.; Pokonieczny, K.; Borkowska, S. GIScience Theory Based Assessment of Spatial Disparity of Geodetic Control Points Location. ISPRS Int. J. Geo-Inf. 2020, 9, 148.

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