Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


Preferences help
enabled [disable] Abstract
Number of results
2025 | 60 | 437-454

Article title

Topographical Information Systems: A Tool for Sustainable Development and Effective Decision-Making

Content

Title variants

Languages of publication

EN

Abstracts

EN
The project titled Topographical Information System (TIS) for Alaafin High School, Agunpopo, Atiba Local Government Area, Oyo State" aims to develop a comprehensive digital system to manage and utilize topographic data for decision-making and infrastructure planning. The project involves the use of modern surveying techniques and equipment, such as Differential GPS, to gather spatial and non-spatial data. The objectives include data acquisition, processing, database design, and presentation of composite maps for the study area. The methodology focuses on field reconnaissance, data collection using geometric measurements, and subsequent processing through GIS software (ArcGIS 10.2). The data is stored and managed in a spatial database, which facilitates queries and analyses for effective decision-making related to utilities management, infrastructure development, and environmental monitoring. The project also identifies challenges in the existing analogue systems, such as difficulty in updating maps and retrieving information, and proposes a digital approach to address these issues. The TIS generated in this project has various applications, including 3D map displays, slope and aspect analysis, and volume estimation, all of which are valuable for urban planning, environmental management, and infrastructure development. The project contributes for better planning and management of resources in the study area.

Year

Volume

60

Pages

437-454

Physical description

Contributors

author
  • Department of Surveying & Geoinformatics, Federal School of Surveying, Oyo, Oyo State, Nigeria
author
  • Department of Surveying & Geoinformatics, Federal School of Surveying, Oyo, Oyo State, Nigeria
author
  • Department of Surveying & Geoinformatics, Federal School of Surveying, Oyo, Oyo State, Nigeria
author
  • Department of Surveying & Geoinformatics, Federal School of Surveying, Oyo, Oyo State, Nigeria

References

  • [1] E. Lynn Usery, Dalia E. Varanka & Larry R. Davis (2018). Topographic Mapping Evolution: From Field and Photographically Collected Data to GIS Production and Linked Open Data. The Cartographic Journal, 55: 4, 378-390, DOI: 10.1080/00087041.2018.1539555
  • [2] Irish, J.L., W.J. Lillycrop (1999). Scanning Laser Mapping of the Coastal Zone: The SHOALS System. ISPRS Journal of Photogrammetry & Remote Sensing, 54(2-3), 123-129
  • [3] Jennifer L. Irish, W. Jeff Lillycrop (1999). Scanning laser mapping of the coastal zone: the SHOALS system. ISPRS Journal of Photogrammetry and Remote Sensing, 54(2-3), 123-129, https://doi.org/10.1016/S0924-2716(99)00003-9
  • [4] Zhang, X.; Li, P (2018). A temperature and vegetation adjusted NTL urban index for urban area mapping and analysis. ISPRS J. Photogrammetry &. Remote Sensing, 135, 93-111, https://doi.org/10.1016/j.isprsjprs.2017.11.016
  • [5] Lehmann, D. Past, present and future of topographic mapping. Brain Topogr 3, 191-202 (1990). https://doi.org/10.1007/BF01128876
  • [6] Christopher M. Bishop, Markus Svensén, Christopher K.I. Williams. Developments of the generative topographic mapping. Neurocomputing, Volume 21, Issues 1-3, 1998, Pages 203-224, https://doi.org/10.1016/S0925-2312(98)00043-5
  • [7] C. M. Bishop, M. Svensén and C. K. I. Williams. GTM: The Generative Topographic Mapping. Neural Computation, vol. 10, no. 1, pp. 215-234, 1 Jan. 1998, doi: 10.1162/089976698300017953
  • [8] Feifei Pan, Christa D. Peters-Lidard, Michael J. Sale, Anthony W. King. A comparison of geographical information systems–based algorithms for computing the TOPMODEL topographic index. Water Resources Research Volume 40, Issue 6, June 2004, https://doi.org/10.1029/2004WR003069
  • [9] Band, L. E. (1986), Topographic partition of watersheds with digital elevation models, Water Resour. Res. 22(1), 15-24
  • [10] Beven, K. J., and M. J. Kirkby (1979). A physical based, variable contributing area model of basin hydrology, Hydol. Sci. Bull. 24(1), 43-69
  • [11] Beven, K., and E. F. Wood (1983), Catchment geomorphology and the dynamics of runoff contributing areas, J. Hydrol. 65, 139-158
  • [12] Dai, Y., et al. (2003). The Common Land Model (CLM). Bull. Am. Meteorol. Soc. 84, 1013-1023
  • [13] Famiglietti, J. S., and E. F. Wood (1994). Multiscale modeling of spatial variable water and energy balance processes, J. Geophys. Res. 30(D11), 3061-3078
  • [14] Ford, R., S. Running, and R. Nemani (1994). A modular system for scalable ecological modeling, IEEE Comput. Sci. Eng. 1(3), 32-44
  • [15] Jenson, S. K., and J. O. Domingue (1988). Extracting topographic structure from digital elevation data for geographic information system analysis, Photogramm. Eng. Remote Sens. 54, 1593-1600
  • [16] Montgomery, D. R., and W. E. Dietrich (1992). Channel initiation and the problem of landscape scale, Science, 255, 826-830
  • [17] O'Callaghan, J. F., and D. M. Mark (1984). The extraction of drainage networks from digital elevation data, Comput. Vision Graphics Image Processes, 28, 323–344
  • [18] Peters-Lidard, C. D., M. S. Zion, and E. F. Wood (1997), A soil-vegetation-atmosphere transfer scheme for modeling spatially variable water and energy balance process, J. Geophys. Res., 102(D4), 4303-4324
  • [19] Tarboton, D. G. (1997). A new method for the determination of flow directions and upslope areas in grid digital elevation models, Water Resour. Res., 33(2), 309-319
  • [20] Wolock, D. M., and G. J. McCabe (1995). Comparison of single and multiple flow direction algorithms for computing topographic parameters, Water Resour. Res. 31(5), 1315-1324
  • [21] Bilgi, S., Ipbuker, C., Ucar, D., & Şahin, M. (2008). Map Entropy Analysis of Topographic Data Used in Disaster Information Systems. Journal of Earthquake Engineering, 12(sup2), 23-36. https://doi.org/10.1080/13632460802013438
  • [22] A. C. Aydinoglu & M. S. Bilgin. (2015). Developing an open geographic data model and analysis tools for disaster management: landslide case. Natural Hazards and Earth System Sciences 15:2, pages 335-347
  • [23] Hesse, W., & Williamson, Ian. P. (1993). The authoritative topographic-cartographic information system. Australian Surveyor, 38(3), 190-196. https://doi.org/10.1080/00050326.1993.10438862
  • [24] I Racetin & M Baučić. (2013). Minimum mapping units in topographic information systems: a case study from Croatia. Survey Review 45:332, pages 325-331
  • [25] Walter Hesse, N.W.J. Hazelton & IanP. Williamson. (1993). Object-oriented concepts for software development in GIS and surveying. Australian Surveyor 38:4, pages 281-293
  • [26] Lee, J. (1991). Analyses of visibility sites on topographic surfaces. International Journal of Geographical Information Systems, 5(4), 413-429. https://doi.org/10.1080/02693799108927866
  • [27] Yiwen Wang & Wanfeng Dou. (2020). A fast candidate viewpoints filtering algorithm for multiple viewshed site planning. International Journal of Geographical Information Science 34:3, pages 448-463
  • [28] Yanli Zhao, Anand Padmanabhan & Shaowen Wang. (2013). A parallel computing approach to viewshed analysis of large terrain data using graphics processing units. International Journal of Geographical Information Science 27:2, pages 363-384
  • [29] Daniel Joly, Thierry Brossard, Jean Cavailhès, Mohamed Hilal, François-Pierre Tourneux, Céline Tritz & Pierre Wavresky. (2009). A Quantitative Approach to the Visual Evaluation of Landscape. Annals of the Association of American Geographers 99:2, pages 292-308
  • [30] Leila De Floriani & Paola Magillo. (1994). Visibility algorithms on triangulated digital terrain models. International Journal of Geographical Information Systems 8:1, pages 13-41
  • [31] Peuquet, D. J., & Bacastow, T. (1991). Organizational issues in the development of geographical information systems: a case study of UJS. Army topographic information automation. International Journal of Geographical Information Systems, 5(3), 303-319. https://doi.org/10.1080/02693799108927857
  • [32] Heather Campbell. (1996). A Social Interactionist Perspective on Computer Implementation. Journal of the American Planning Association 62:1, pages 99-107

Document Type

article

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.psjd-48e44dee-3faa-4200-a984-f40ffd8e1662
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.