Applied sciences

Geodesy and Cartography


Geodesy and Cartography | 2010 | vol. 59 | No 2 |


In monitoring vertical displacements in elongated structures (e.g. bridges, dams) by means of precise geometric levelling a reference base usually consists of two subgroups located on both ends of a monitored structure. The bigger the separation of the subgroups, the greater is the magnitude of undetectable displacement of one subgroup with respect to the other. With a focus on a method of observation differences the question arises which of the two basic types of computation datum, i.e. the elastic and the fixed, both applicable in this method, is more suitable in such a specific base configuration. To support the analysis of this problem, general relationships between displacements computed in elastic datum and in fixed datum are provided. They are followed by auxiliary relationships derived on the basis of transformation formulae for different computational bases in elastic datum. Furthermore, indices of base separation are proposed which can be helpful in the design of monitoring networks. A test network with simulated mutual displacements of the base subgroups, is used to investigate behaviour of the network with the fixed and the elastic datum being applied. Also, practical guidelines are given concerning data processing procedures for such specific monitoring networks. For big separation of base subgroups a non-routine procedure is recommended, aimed at facilitating specialist interpretation of monitoring results.
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The aim of the paper is the comparison of the least squares prediction presented by Heiskanen and Moritz (1967) in the classical handbook “Physical Geodesy” with the geostatistical method of simple kriging as well as in case of Gaussian random fields their equivalence to conditional expectation. The paper contains also short notes on the extension of simple kriging to ordinary kriging by dropping the assumption of known mean value of a random field as well as some necessary information on random fields, covariance function and semivariogram function. The semivariogram is emphasized in the paper, for two reasons. Firstly, the semivariogram describes broader class of phenomena, and for the second order stationary processes it is equivalent to the covariance function. Secondly, the analysis of different kinds of phenomena in terms of covariance is more common. Thus, it is worth introducing another function describing spatial continuity and variability. For the ease of presentation all the considerations were limited to the Euclidean space (thus, for limited areas) although with some extra effort they can be extended to manifolds like sphere, ellipsoid, etc.
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The paper presents the least admissible dimensions of black lines of spatial object images, according to Saliszczew, adjusted to the needs of database generalization. It is pointed out, that the adjusted dimensions are in agreement with the cartographic norm included in the National Map Accuracy Standards , and their application to the generalization 1 will allow, for any map scale, the determination of the: • value of the scale-dependent parameter of the generalization process, without user action; • measure of recognizability of the shortest black line section on the map, what helps to obtain unique results of line generalization; • measure of recognizability of black lines in the image – using a standard (elementary triangle) – helpful in obtaining unique result of line simplification, and an assessment of the process; • recognizability distance between lines of close buildings, securing unique aggregation of them; • verification of spatial object image lines visualization. The new solutions were tested with the Douglas-Peucker (1973) generalization algorithm, modified by the author, which treats the minimal dimensions as geometric attributes, while object classes and their data hierarchy as descriptive attributes. This approach secures uniqueness of results on any level of generalization process, in which data of spatial objects in the DLM model are transformed to conform with the requirements for the DCM model data.
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In the paper a frequency method of filtering airborne laser data is presented. A number of algorithms developed to remove objects above a terrain (buildings, vegetation etc.) in order to obtain the terrain surface were presented in literature. Those all methods published are based on geometrical criteria, i.e. on a specific threshold of elevation differences between two neighbouring points or groups of points. In other words, topographical surface is described in a spatial domain. The proposed algorithm operates on topographical surface described in a frequency domain. Two major tools, i.e. Fast Fourier Transform (FFT) and digital filters are used. The principal assumption is based on the idea that low frequencies are responsible for a terrain surface, while high frequencies are connected to objects above the terrain. The general guidelines of this method were for the first time presented at (Marmol and Jachimski, 2004). Due to the fact that the preliminary results showed some limitations, two-stage filtering algorithm has been introduced. The frequency filter was modified in such a manner that different filter parameters are used to detect buildings than those to recognize vegetation. In the first stage of data processing the filtering concerning elimination of points connected with urban areas was applied. The low-pass filter with parameters determined for urban area was used for the whole tested terrain in that stage. The purpose of the second stage was to eliminate vegetation by using the filter for forest areas. The presented method was tested by using data sets obtained in the ISPRS test on extracting DTM from point clouds. The results of using the two-stage algorithm were com- pared with both reference data and with filtering results of eight method reported to ISPRS test. A numerical comparison of the filter output with a reference data set shows that the filter generates DTM of a satisfactory quality. The accuracy of DTM produced by the frequency algorithm fits the average accuracy of eight methods reported in the ISPRS test.
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Editorial office

Elżbieta Bielecka, Military University of Technology, Faculty of Civil Engineering and Geodesy (WAT WIG), Poland

Editorial Advisory Board
Aleksandra Bujakiewicz, Warsaw University of Technology, Poland
Beata Medynska-Gulij, Adam Mickiewicz University (UAM), Poland
Edward Osada, University of Lower Silesia, Poland
Jan Krynski, Institute of Geodesy and Cartography (IGiK), Poland
Jerzy Rogowski, Warsaw University of Technology, Poland
Zbigniew Wisniewski, University of Warmia and Mazury in Olsztyn (UWM), Poland
Josef Adam, University of Technology and Economics, Hungary
Adam Chrzanowski, University of New Brunswick, Canada
Dorota Grejner-Brzezińska, The Ohio State University, USA
Jaakko Makinen, Finnish Geodetic Institute, Finland
Helmut Moritz, Graz University of Technology, Austria
Heinz Ruther, University of Cape Town, RSA
Michael Sideris, University of Calgary, Canada
Gabriel Strykowski, Technical University of Denmark, Denmark
Jaroslaw S. Yatskiv, Main Astronomical Observatory, Ukraine

Pawel Kamiński, Military University of Technology, Faculty of Civil Engineering and Geodesy (WAT WIG), Poland

Technical Editors
Karolina Krawczyk, Military University of Technology, Faculty of Civil Engineering and Geodesy (WAT WIG), Poland
Krzysztof Bielecki, Military University of Technology, Faculty of Civil Engineering and Geodesy (WAT WIG), Poland



Elżbieta Bielecka

Instructions for authors

GEODESY AND CARTOGRAPHY is a semiannually journal publishing peer-reviewed articles with original solutions of theoretical, experimental or applicable problems in the field of geodesy, surveying engineering, cartography, photogrammetry and related disciplines. Besides original research papers, the journal includes commissioned review papers on topical subjects and special issues arising from chosen scientific symposia or workshops.
Legal requirements
The author(s) guarantee(s) that the manuscript will not be published elsewhere in any language without the consent of the copyright owners, that the rights of the third parties will not be violated, and that the publisher will not held legally responsible should there be any claims for compensation.
Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.
Manuscript submission
Submission of the manuscript implies: that the work has not been published before (except in form of an abstract or as a part of a published lecture, review or thesis); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities at the institution where the work was carried out.
Articles should be submitted on line
In case the manuscript has more than one author its submission should include the list specifying contribution of each author to the manuscript with indicating who is the author of the concept, assumptions, research methodology, data processing. Major responsibility is of the author submitting the manuscript.
The Editor will counteract in GEODESY AND CARTOGRAPHY against Ghostwriting, i.e. when someone substantially contributed to the preparation of the manuscript but has neither been included to the list of authors nor his role is mentioned in the acknowledgements as well as Ghost authorship, i.e. when the author/co-author did not contribute to the manuscript or his contribution is negligible. Any detected case of Ghostwriting and Ghost authorship will be exposed and the appropriate subjects, i.e. employers, scientific organisations, associations of editors etc, will be informed.
Electronic submission of a manuscript
Use the template to format your paper.

Layout guidelines:- use a normal, plain Times Roman font for text, italics for textual emphasis, bold for mathematical vectors,
- use the table functions of your word processing program, not spreadsheets, to make tables,
- use the equation editor of your word processing program for equations,
- place all figures with figure legends and tables with table legends in the manuscript,
- submit also all figures as separate files.
Data format:
Save your manuscript in RTF or DOC Microsoft Word for Windows format.
Figures should be provided in the vector graphics or JPG or TIF (specifically for halftone illustrations) formats will be accepted. The filename should include the figure number. Figure legends should be included in the text and not in the figure file. Scanned line drawings should be digitised with a minimum resolution of 800 dpi relative to the final figure size. For digital halftones, 300 dpi is usually sufficient. Non-standard fonts used in the vector graphics must be included. Please do not draw with hairlines. The minimum line width is 0.2 mm (0.567 pt) relative to the final size.
Manuscript preparation
Manuscripts should be typed in single-line spacing throughout on the A4 sheet with 2.5 cm margins .
1. Title page:
- a concise and informative title
- the name(s) of the author(s)
- the name(s) and address(es) of the affiliation(s) of the author(s)
- the e-mail address, telephone and fax numbers of the communicating author
2. Abstract: the paper must be preceded by a sufficiently informative abstract presenting the most important results and conclusions.
3. Keywords: three to five keywords should be supplied.
4. Introduction: should state the purpose of the investigation and give a short review of the pertinent literature.
5. Main text: including method and input data (working details must be given concisely; well-known operations should not be described in detail); results presented in tabular or graph form, with appropriate statistical evaluation, discussion of results - statement of conclusions drawn from the work, conclusions.
6. Acknowledgements: should be brief and consist of grant or individuals that require acknowledgement.
The names of funding organizations or institutions providing data should be given in full.
7. References: the list of references should be in alphabetical order and should only include works that are cited in the text and that have been published or accepted for publication. Personal communications could only be mentioned in the text. References should consist of the complete list of authors and should be given in the following form:
In the text, references should be cited by author(s) last name and year: e.g. (Beutler, 2003a), (Featherstone and Kirby, 2000), (Schwarz et al., 1990), (Sjöberg et al., 2000; Strykowski, 2001b; 2002).
8. Formulae and symbols: must be written legibly and will be typeset in italics. One-layer indexing is preferable. Numbering of formulae, if necessary should be given in brackets fitted to the right margin.
9. Footnotes: to the text should be numbered consecutively and placed on the bottom of the page to which they refer. Footnotes to the tables should be indicated by superscript lowercase letters.
10. Illustrations and tables: all figures (photographs, graphs or diagrams) and tables should be cited in the text and each numbered consecutively throughout. Lowercase roman letters should identify figure parts. Figure legends must be brief and must contain self-sufficient explanations of the illustrations. Each table should have a title and a legend explaining any abbreviation used in that table.
11. Units: SI units must be used.
12. Running head: consisting of at most 60 characters a concise banner representing the title of the article must be submitted by the author(s).
Proofreading is the responsibility of the author. Corrections should be clear; standard correction marks should be used. Corrections that lead to a change in the page layout should be avoided. The author is entitled to formal corrections only. Substantial changes in content, e.g. new results, corrected values, title and authorship are not allowed without the approval of the editor. In such case please contact the Editor-in-chief before returning the proofs.
References formatting
a. Journal Article (one author)
Nikora, V. (2006). Hydrodynamics of aquatic ecosystems: spatial-averaging perspective. Acta Geophysica, 55(1), 3-10. DOI: 10.2478/s11600-006-0043-6.
b. Journal Article (two or more authors)
Cudak, M. and Karcz J. (2006). Momentum transfer in an agitated vessel with off-centred impellers. Chem. Pap. 60(5), 375-380. DOI: 10.2478/s11696-006-0068-y.
c. Journal article from an online database
Czajgucki Z., Zimecki M. & Andruszkiewicz R. (2006, December). The immunoregulatory effects of edeine analogues in mice [Abstract]. Cell. Mol. Biol. Lett. 12(3), 149-161. Retrieved December 6.
d. Book (one author)
Baxter, R. (1982). Exactly Solvable Models in Statistical Mechanics. New York: Academic Press.
e. Book (two or more authors)
Kleiner, F.S., Mamiya C.J. and Tansey R.G. (2001). Gardner’s art through the ages (11th ed.). Fort Worth, USA: Harcourt College Publishers.
f. Book chapter or article in an edited book
Roll, W.P. (1976). ESP and memory. In J.M.O. Wheatley and H.L. Edge (Eds.), Philosophical dimensions of parapsychology (pp. 154-184). Springfield, IL: American Psychiatric Press.
g. Proceedings from a conference
Field, G. (2001). Rethinking reference rethought. In Revelling in Reference: Reference and Information Services Section Symposium, 12-14 October 2001 (pp. 59-64). Melbourne, Victoria, Australia: Australian Library and Information Association.
h. ebook
Johnson, A. (2000). Abstract Computing Machines. Springer Berlin Heidelberg. Retrieved March 30, 2006, from SpringerLink DOI: 10.1007/b138965.
i. Report
Osgood, D. W., and Wilson, J. K. (1990). Covariation of adolescent health problems. Lincoln: University of Nebraska. (NTIS No. PB 91-154 377/AS).
j. Government publication
Ministerial Council on Drug Strategy. (1997). The national drug strategy: Mapping the future. Canberra: Australian Government Publishing Service.

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