Abstract
There exist different reasons for infrastructure providers to think about upcoming changes and necessary adaptations. This paper covers the experiences made during a three-year research project (called SinOptiKom) during the development of a geographic information system supported tool for analyzing time-dependent infrastructure optimization results. Beside the data preparation and requirements for the successful implementation of such a tool, the resulting design decisions are presented. Examples for the use and combination of common techniques (such as semantic zooming or highlighting) as well as important usability aspects are explained and will greatly support future research in the domain of infrastructure optimization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Baron, S., Kaufmann Alves, I., Schmitt, T.G., Thielen, C.: Optimization of transformation processes of drainage systems in rural areas. In: 13th International Conference on Urban Drainage (2014)
Baron, S., Hoek, J., Kaufmann Alves, I., Herz, S.: Comprehensive scenario management of sustainable spatial planning and urban water services. Water Sci. Technol. 73(5), 1041–1051 (2016)
Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings of 1996 IEEE Symposium on Visual Languages, pp. 336–343 (1996)
Baron, S., Kaufmann Alves I., Schmitt, T.G., Schöffel, S., Schwank, J.: Cross-sectoral optimization and visualization of transformation processes in urban water infrastructures in rural areas. In: Proceedings IWA World Water Congress 2015. IWA Publishing (2015)
Roberts, J.C.: State of the art: coordinated and multiple views in exploratory visualization. In: Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization, Zurich, pp. 61–71 (2007)
Jern, M., Franzen, J.: “GeoAnalytics’’ - exploring spatio-temporal and multivariate data. In: Conference on Information Visualisation, IV 2006, London, pp. 25–31 (2006)
Chambers, J., Cleveland, W., Kleiner, B., Tukey, P.: Graphical Methods for Data Analysis, pp. 158–162. Wadsworth, Pacific Grove (1983)
Saary, M.: Radar plots: a useful way for presenting multivariate health care data. J. Clin. Epidemiol. 61(4), 311–317 (2008)
Perlin, K., Fox, D.: Pad: an alternative approach to the computer interface. In: Proceedings of SIGGRAPH 1993, pp. 57–64. ACM, New York (1993)
NASA World Wind. https://worldwind.arc.nasa.gov/
National Geographic Society: Geographic Information System (GIS). http://www.nationalgeographic.org/encyclopedia/geographic-information-system-gis/. Accessed 9 Mar 2017
Thapa, R.B., Murayama, Y.: Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: a case study of Hanoi. Land Use Pol. 25(2), 225–239 (2008)
Weng, Q.: Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J. Environ. Manag. 64(3), 273–284 (2002)
McKee, K.T., Shields, T.M., Jenkins, P.R., Zenilman, J.M., Glass, G.E.: Application of a geographic information system to the tracking and control of an outbreak of Shigellosis. Clin. Infect. Dis. 31(3), 728–733 (2000)
Aloquili, O., Elbanna, A., Al-Azizi, A.: Automatic vehicle location tracking system based on GIS environment. IET Softw. 3(4), 255–263 (2009)
Truong, L.T., Somenahalli, S.V.: Using GIS to identify pedestrian-vehicle crash hot spots and unsafe bus stops. J. Public Transp. 14(1), 6 (2011)
Li, L., Zhu, L., Sui, D.Z.: A GIS-based Bayesian approach for analyzing spatial–temporal patterns of intra-city motor vehicle crashes. J. Transp. Geogr. 15(4), 274–285 (2007)
Tran, P., Shaw, R., Chantry, G., Norton, J.: GIS and local knowledge in disaster management: a case study of flood risk mapping in Viet Nam. Disasters 33(1), 152–169 (2009)
Zerger, A., Smith, D.I.: Impediments to using GIS for real-time disaster decision support. Comput. Environ. Urban Syst. 27(2), 123–141 (2003)
Cova, T.J.: GIS in emergency management. Geogr. Inf. Syst. 2, 845–858 (1999)
Broesamle, H., Mannstein, H., Schillings, C., Trieb, F.: Assessment of solar electricity potentials in North Africa based on satellite data and a geographic information system. Sol. Energy 70(1), 1–12 (2001)
Smith, T.M., Lakshmanan, V.: Utilizing Google Earth as a GIS platform for weather applications. In: 22nd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology (2006)
Schmitt, T.G., Worreschk, S., Kaufmann Alves, I., Herold, F., Thielen, C.: An optimization and decision support tool for long-term strategies in the transformation of urban water infrastructure. In: Conference on Hydro informatics, NYC, USA (2014)
Google Maps. https://www.google.de/maps/
Google Earth. https://www.google.de/intl/de/earth/
Esri ArcGIS. https://www.arcgis.com/
Caliper Maptitude. http://www.caliper.com/Maptitude/
Hitachi Solutions GIS. http://www.hitachi-solutions.com/gis/
QuantumGIS. http://www.qgis.org/
GRASS – Geographic Resources Analysis Support System. https://grass.osgeo.org/
GeoServer – Open Source Server for sharing geospatial data. http://geoserver.org/
Acknowledgments
The work in this paper has been funded by the German Federal Ministry of Education and Research (BMBF, project “SinOptiKom”, 033W009A).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Schöffel, S., Schwank, J. (2018). Analyzing Time-Dependent Infrastructure Optimization Based on Geographic Information System Technologies. In: Charytonowicz, J. (eds) Advances in Human Factors, Sustainable Urban Planning and Infrastructure. AHFE 2017. Advances in Intelligent Systems and Computing, vol 600. Springer, Cham. https://doi.org/10.1007/978-3-319-60450-3_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-60450-3_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60449-7
Online ISBN: 978-3-319-60450-3
eBook Packages: EngineeringEngineering (R0)