Abstract
Compared with static spatial data, spatiotemporal data can better represent dynamic real-world phenomena. Many models and temporal GIS applications have been proposed to process, manage and analyze spatiotemporal data. However, most of these works mainly focus on static representation and storage in database and lack enough support for dynamic visualization. Furthermore, most spatiotemporal data models are usually specially designed for specific problems, making it difficult for interdisciplinary data integration. In this paper, we propose a model-driven approach for dynamically visualizing spatiotemporal data in animation, with a property-pluggable model and a modular web-based GIS. Demonstration on 2 real-world datasets shows that our method can integrate multi-source heterogeneous data, while keeping simple, pluggable structure for future customization and extension.
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References
Li, X., et al.: WebVRGIS based traffic analysis and visualization system. Adv. Eng. Softw. 93, 1–8 (2016)
Ali, T.A.T., Saeed, R.A., Fageeri, S.O.: Web-based GIS business hotels tourism sites in Khartoum, Sudan. In: 2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), pp. 1–5 (2017)
Lyu, H.-M., Sun, W.-J., Shen, S.-L., Arulrajah, A.: Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach. Sci. Total Environ. 626, 1012–1025 (2018)
Varatharajan, R., Manogaran, G., Priyan, M.K., Balaş, V.E., Barna, C.: Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis. Multimedia Tools Appl. 77, 17573–17593 (2018)
Zheng, J., Zhang, D., Zhang, Z., Lu, X.: An integrated system of video surveillance and GIS (2018)
Que, X., Wu, C., Chen, R., Liu, J., Lu, C.: Spatiotemporal data model for geographical process analysis with case study. In: 2016 15th International Symposium on Parallel and Distributed Computing (ISPDC), pp. 390–394 (2016)
Siabato, W., Claramunt, C., Ilarri, S., Manso-Callejo, M.A.: A survey of modelling trends in temporal GIS. ACM Comput. Surv. 51, 1–41 (2018)
Yuan, M.: Temporal GIS and spatio-temporal modeling. In: Proceedings of Third International Conference Workshop on Integrating GIS and Environment Modeling, Santa Fe, NM (1996)
Gebbert, S., Pebesma, E.: A temporal GIS for field based environmental modeling. Environ. Model Softw. 53, 1–12 (2014)
Wood, G., Whyatt, D., Hackett, D., Stevens, C.: Spatio-temporal challenges in representing wildlife disturbance within a GIS. Environ. Technol. Innov. 7, 44–53 (2017)
Liu, C., Qian, J., Guo, D., Liu, Y.: A spatio-temporal scenario model for emergency decision. GeoInformatica 22, 411–433 (2018)
Yang, Z., Chen, M., Bchen, D.: A study on representation and application of temporal coordinate reference systems in GIS. In: 2018 26th International Conference on Geoinformatics, pp. 1–5 (2018)
Barrile, V., Postorino, M.N.: GPS and GIS methods to reproduce vehicle trajectories in urban areas. Procedia – Soc. Behav. Sci. 223, 890–895 (2016)
Li, M., Choudhury, F., Bao, Z., Samet, H., Sellis, T.: ConcaveCubes: supporting cluster-based geographical visualization in large data scale. Comput. Graph. Forum 37, 217–228 (2018)
Langat, P.K., Kumar, L., Koech, R.: Monitoring river channel dynamics using remote sensing and GIS techniques. Geomorphology 325, 92–102 (2019)
Jeppesen, J.H., Ebeid, E., Jacobsen, R.H., Toftegaard, T.S.: Open geospatial infrastructure for data management and analytics in interdisciplinary research. Comput. Electron. Agric. 145, 130–141 (2018)
Mollalo, A., Alimohammadi, A., Shirzadi, M.R., Malek, M.R.: Geographic information system-based analysis of the spatial and spatio-temporal distribution of Zoonotic Cutaneous Leishmaniasis in Golestan Province, North-East of Iran. Zoonoses Public Health 62, 18–28 (2015)
Qiu, X., Zhang, F., Zhou, H., Du, L., Wang, X., Liang, G.: Multimodal visual analysis of vector-borne infectious diseases. In: Wang, Y., Jiang, Z., Peng, Y. (eds.) IGTA 2018. CCIS, vol. 875, pp. 135–145. Springer, Singapore (2018). https://doi.org/10.1007/978-981-13-1702-6_14
Zavala-Romero, O., Chassignet, E.P., Zavala-Hidalgo, J., Velissariou, P., Pandav, H., Meyer-Baese, A.: OWGIS 2.0: open source Java application that builds web GIS interfaces for desktop and mobile devices. In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 311–320. ACM, Dallas (2014)
Zhang, J., et al.: Visual analysis of public utility service problems in a metropolis. IEEE Trans. Vis. Comput. Graph. 20, 1843–1852 (2014)
OpenLayers. https://openlayers.org/
Kimball, R., Caserta, J.: The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming and Delivering Data (2004)
Sarabadani Tafreshi, A.E., Marbach, K., Norrie, M.C.: Proximity-based adaptation of web content on public displays. In: Cabot, J., De Virgilio, R., Torlone, R. (eds.) ICWE 2017. LNCS, vol. 10360, pp. 282–301. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60131-1_16
USGS Earthquake Hazards Program. https://earthquake.usgs.gov/
OpenStreetMap. https://www.openstreetmap.org/
Acknowledgments
This work was supported by the Strategy Priority Research Program of Chinese Academy of Sciences (No. XDA20080200), the National Key Research and Development Program of China (No. 2018YFB1005002), the National Natural Science Foundation of China (No. 61572479), the National Natural Science Foundation of China together with the National Research Foundation of Singapore (No. 61661146002).
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Kong, W., Yang, L., Ren, J., Zuo, C., Zhang, F. (2019). Model-Driven Dynamic Visualization of Spatiotemporal Data in GIS. In: Wang, Y., Huang, Q., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-13-9917-6_20
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DOI: https://doi.org/10.1007/978-981-13-9917-6_20
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