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A low-cost spatial tool for transforming feature positions of CAD-based topographic mapping

    Maan Habib Affiliation
    ; A’kif Alfugara Affiliation
    ; Biswajeet Pradhan Affiliation

Abstract

In fact, Computer Aided Design (CAD) offers powerful design tools to produce digital large scale topographic mapping that is considered the backbone for construction projects, urban planning and landscape architecture. Nowadays local agencies in small communities and developing countries are facing some difficulties in map to map transformation and handling discrepancies between the physical reality and represented spatial data due to the need for implementing high cost systems such as GIS and the experienced staff required. Therefore, the require for providing a low-cost tool based on the most common CAD system is very important to guarantee a quality and positional accuracy of features. The main aim of this study is to describe a mathematical relationship to fulfil the coordinate conversion between two different grid references applying two-dimensional conformal polynomial models built on control points and a least squares fitting algorithm. In addition, the automation of this model was performed in the Microsoft Visual Studio environment to calculate polynomial coefficients and convert the positional property of entities in AutoCAD by developing spatial CAD tool. To evaluate the proposed approach the extracted coordinates of check points from the interpolation surface are compared with the known ones.

Keyword : conformal transformation, least squares adjustment, polynomials, AutoCAD automation

How to Cite
Habib, M., Alfugara, A., & Pradhan, B. (2019). A low-cost spatial tool for transforming feature positions of CAD-based topographic mapping. Geodesy and Cartography, 45(4), 161-168. https://doi.org/10.3846/gac.2019.10322
Published in Issue
Dec 23, 2019
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Awange, J. L., & Kiema, J. B. K. (2013). Fundamentals of GIS. In Environmental Geoinformatics (pp. 191-200). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34085-7_13

Bolstad, P. (2016). GIS fundamentals: A first text on geographic information systems. Eider Press.

Burrough, P. A., McDonnell, R., McDonnell, R. A., & Lloyd, C. D. (2015). Principles of geographical information systems. Oxford University Press.

Chrisman, N. (1999). A transformational approach to GIS operations. International Journal of Geographical Information Science, 13(7), 617-637. https://doi.org/10.1080/136588199241030

Deakin, R. E. (2004). A guide to the mathematics of map projections. School of Mathematical and Geospatial Sciences, RMIT University, Melbourne.

Esri, (2011). ArcGIS for AutoCAD 250. Technical Paper.

Greenfeld, J. S. (1997). Least squares weighted coordinate transformation formulas and their applications. Journal of Surveying Engineering, 123(4), 147-161. https://doi.org/10.1061/(ASCE)0733-9453(1997)123:4(147)

Janssen, V. (2009). Understanding coordinate reference systems, datums and transformations. International Journal of Geoinformatics, 5(4).

Herrault, P. A., Sheeren, D., Fauvel, M., Monteil, C., & Paegelow, M. (2013). A comparative study of geometric transformation models for the historical “map of France” registration. Geographia Technica, (1), 34.

Karimi, H. A., & Akinci, B. (2009). CAD and GIS integration. CRC Press. https://doi.org/10.1201/9781420068061

Kutoglu, H. S., & Vaníček, P. (2006). Effect of common point selection on coordinate transformation parameter determination. Studia Geophysica et Geodaetica, 50(4), 525-536. https://doi.org/10.1007/s11200-006-0033-9

Maling, D. H. (1992). Coordinate systems and map projections. Pergamon Press. https://doi.org/10.1016/B978-0-08-037233-4.50020-0

Mikhail, E. M., & Gracie, G. (1981). Analysis and adjustment of survey measurements. New York: Van Nostrand Reinhold.

Moreno, R., & Bazán, A. M. (2017). Automation in the teaching of descriptive geometry and CAD. High-level CAD templates using script languages. In IOP Conference Series: Materials Science and Engineering, 245(6). IOP Publishing. https://doi.org/10.1088/1757-899X/245/6/062039

Pędzich, P. (2005). Conformal projection with minimal distortions. In XXII International Cartographic Conference Proceedings”, La Coruna.

Petrov, M. N. (2017). Research into the methods of software product developing and maintaining. Sibirskij zhurnal nauki i tehnologi, 18(4).

Shi, M., Wang, X., Xin, W., Hui, G., Nan, M., Li, H., & Song, S. (2016). AutoCAD map conversion based on teigha. NET and ArcGIS engine. DEStech Transactions on Engineering and Technology Research, (iect). https://doi.org/10.12783/dtetr/iect2016/3753

Snyder, J. P. (1987). Map projections – A working manual (Vol. 1395). US Government Printing Office. https://doi.org/10.3133/pp1395

Taşçi, L. (2009). The Adjustment of some geodetic networks using Microsoft excel solver. Turkish Journal of Science & Technology, 4(2).

Thomas, P. D. (1952). Conformal projections in geodesy and cartography (Vol. 4). US Government Printing Office. Togores, R. (2019). AutoCAD Expert’s Visual LISP. Createspace Independent Publishing Platform.

Vanicek, P., & Krakiwsky, E. J. (1987). Geodesy: the concepts. Elsevier.

Velsink, H. (2018). Testing methods for adjustment models with constraints. Journal of Surveying Engineering, 144(4), 04018009. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000260

Vincenty, T. (1987). Conformal transformations between dissimilar plane coordinate systems. Surveying and Mapping, 47(4), 271-274.