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JournalISSN: 2029-7009

Geodesy and Cartography 

Vilnius Gediminas Technical University
About: Geodesy and Cartography is an academic journal. The journal publishes majorly in the area(s): Geodetic datum & Photogrammetry. It has an ISSN identifier of 2029-7009. It is also open access. Over the lifetime, 928 publications have been published receiving 2321 citations.


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Journal ArticleDOI
TL;DR: An overview of the current and near future positioning capabilities for indoor and outdoor environments is given and focus is given on various novel position systems that achieve cm‐level accuracy or better which is a requirement for most geodetic applications.
Abstract: Precise positioning in indoor environments faces different challenges than the outdoor ones. While indoor environments are limited in size to rooms and buildings, outdoor positioning capabilities require regional or even global coverage. Secondly, the difficulty of receipting satellite signals indoors has triggered the development of high sensitive and AGNSS receivers – with many issues remaining unsolved. Thirdly, the accuracy requirements are dissimilar between indoor and outdoor environments – typically there is a higher demand for relative accuracy indoors. This paper should be regarded as an overview of the current and near future positioning capabilities for indoor and outdoor environments. However, it does not lay claim to completeness. Focus is given on various novel position systems that achieve cm‐level accuracy or better which is a requirement for most geodetic applications.

202 citations

Journal ArticleDOI
TL;DR: In this paper, an application of R programming language for geostatistical data processing with a case study of the Mariana Trench, Pacific Ocean has been introduced, where vector thematic data were processed in QGIS: tectonics, bathymetry, geo- morphology and geology.
Abstract: This paper introduces an application of R programming language for geostatistical data processing with a case study of the Mariana Trench, Pacific Ocean. The formation of the Mariana Trench, the deepest among all hadal oceanic depth trenches, is caused by complex and diverse geomorphic factors affecting its development. Mariana Trench crosses four tectonic plates: Mariana, Caroline, Pacific and Philippine. The impact of the geographic location and geological fac- tors on its geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. The methodology includes following steps. Firstly, vector thematic data were processed in QGIS: tectonics, bathymetry, geo- morphology and geology. Secondly, 25 cross-section profiles were drawn across the trench. The length of each profile is 1000-km. The attribute information has been derived from each profile and stored in a table containing coordinates, depths and thematic information. Finally, this table was processed by methods of the statistical analysis on R. The programming codes and graphical results are presented. The results include geospatial comparative analysis and estimated effects of the data distribution by tectonic plates: slope angle, igneous volcanic areas and depths. The innovativeness of this paper consists in a cross-disciplinary approach combining GIS, statistical analysis and R programming.

52 citations

Journal ArticleDOI
TL;DR: The objective of the present deliberations was to systematise knowledge of static visual variables used to create cartographic symbols, and to analyse the possibility of their utilisation in the Augmented Reality (AR) applications on smartphone-type mobile devices.
Abstract: The objective of the present deliberations was to systematise our knowledge of static visual variables used to create cartographic symbols, and also to analyse the possibility of their utilisation in the Augmented Reality (AR) applications on smartphone-type mobile devices. This was accomplished by combining the visual variables listed over the years by different researchers. Research approach was to determine the level of usefulness of particular characteristics of visual variables such as selective, associative, quantitative and order. An attempt was made to provide an overview of static visual variables and to describe the AR system which is a new paradigm of the user interface. Changing the approach to the presentation of point objects is caused by applying different perspective in the observation of objects (egocentric view) than it is done on traditional analogue maps (geocentric view). Presented topics will refer to the fast-developing field of cartography, namely mobile cartography. Particular emphasis will be put on smartphone-type mobile devices and their applicability in the process of designing cartographic symbols.

39 citations

Journal ArticleDOI
TL;DR: In this article, the accuracy of generated terrain model depends on the interpolation mechanism adopted and hence it is needed to investigate the comparative performance of different approaches in this context, including Inverse Distance Weighted, Kriging, Topo to Raster, Natural Neighbor, and Spline approaches have been compared.
Abstract: Visualization of geospatial entities generally entails Digital Elevation models (DEMs) that are interpolated to establish three dimensional co-ordinates for entire terrain. The accuracy of generated terrain model depends on the interpolation mechanism adopted and hence it is needed to investigate the comparative performance of different approaches in this context. General interpolation techniques namely Inverse Distance Weighted, Kriging, Topo to Raster, Natural Neighbor, and Spline approaches have been compared. Differential ground field survey has been conducted to generate reference DEM as well as specific set of test points for comparative evaluation. We have also investigated the suitability SRTM DEM for Indian terrain by comparing it with the SOI DEM. Contours were generated at different intervals for comparative analysis and found SRTM as more suitable. The terrain sensitivity of various methods has also been analyzed with reference to the study area.

39 citations

Journal ArticleDOI
TL;DR: In this article, the horizontal positional accuracy of Google Earth is assessed in the city of Montreal, Canada, using the precise coordinates of ten GPS points spatially distributed all over the city.
Abstract: The horizontal positional accuracy of Google Earth is assessed in the city of Montreal, Canada, using the precise coordinates of ten GPS points spatially distributed all over the city. The results show that the positional accuracy varies in the study area between ∼0.1 m in the south to ∼2.7 m in the north. Furthermore, two methods are developed for correcting the observed positional errors: (a) using a set of transformation parameters between true coordinates of the geodetic points and their coordinates in Google Earth, and by (b) interpolating the misfit vectors at the geodetic points. The former method reduces the overall accuracy to ∼67 cm RMSE, whereas the latter one practically removes all the distortion (RMSE = 1 cm). Both methods can be developed for other places in the world subject to availability of appropriate control points. In addition, a displacement problem caused by the topography of the area and the viewing angle of the imaging satellite is discussed, and it is shown that the true positions can be shifted even up to several meters, as a consequence.

34 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202179
202094
2019107
201881
2017105
201684