Abstract
Classifying and abstracting the temporal information of land environment in this paper, from the aspects of air, earth and life, analysising temporal logic and description in geographic entities of land environment, abstract lot to spatial objects, exploring that the definition of space object, temporal evolution and organization and storage methods of dynamic spatio-temporal data; combining closely the object-oriented with the SOA, constructing a model that SOA-based spatio-temporal data frame of "air-earth-life" in land environment. Studies have shown that, it’s the internal demand and the inevitable choice for platform development of integrated information management in land environment to construct by using SOA.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
von Glasow, R., Jickells, T.D., Baklanov, A.: Megacities and Large Urban Agglomerations in the Coastal Zone: Interactions Between Atmosphere, Land, and Marine Ecosystems. AMBIO 42(1), 13–28 (2013)
Callejas, I.J.A., de Oliveira, A.S., Santos, F.M.D.: Relationship between land use/cover and surface temperatures in the urban agglomeration of Cuiaba-Varzea Grande, Central Brazil. Journal of Applied Remote Sensing (5) (2011)
Kumar, A., Pandey, A.C., Hoda, N.: Evaluating the Long-term Urban Expansion of Ranchi Urban Agglomeration, India Using Geospatial Technology. Journal of the Indian Society of Remote Sensing 39(2), 213–224 (2011)
Zhang, S., Zhang, B., Zhang, L., et al.: Spatiotemporal evolution of urban land uses in modern urbanization of China. Chinese Geographical Science 20(2), 132–138 (2010)
Xiaoli, X., Yong, Y., Sanzhou, W.: Environmental impact assessment index system of land use planning and case study. Environment Science & Technology 35(3), 173–177 (2012)
Chen, B., Zhang, F.: Theory and methodology for sustainable land use indicator system in china. Journal of Natural Resources 16(3), 197–203 (2001)
Pan, A., Quan, B., Wang, Z.: Research on Response of Land Use and Urbanlization in Changsha-Zhuzhou-Xiangtan. Research of Soil and Water Conservation 17(5), 167–171 (2010)
Zhang, Q., Ou, M., Pang, Y., et al.: Lang Environment: new perspective. China Land Science 18(5), 48–54 (2004)
Arce, L.F.: Urban competitiveness in the Latin American context, The case of Santiago, Chile. Revista DE Geografia Norte Grande 48, 81–106 (2011)
Ye, Y.Y., Zhang, H.G., Liu, K., et al.: Research on the influence of site factors on the expansion of construction land in the Pearl River Delta, China: By using GIS and remote sensing. International Journal of Applied Earth Observation and Geoinformation 21, 366–373 (2013)
Li, J.-W., Zou, W.-J., Yin, M., Tian, L.-Y.: Organization Method of City Cadastral Comprehensive Information Using Process-Based Object-Oriented Spatial Data Model. Geography and Geo-Information Science 28(3), 37–45 (2012)
Zou, W.-J., Li, J.-W., Wang, F.: Application of a Temporal Data Model Based on Events-Process-State. Urban Geotechical Investigation & Surveying 3, 59–64 (2012)
Wang, L., Wan, Z.-K.: Research on Service-oriented Architecture Cloud Computing and its Implementation. Computer and Digital Engineering 37(7), 56–64 (2009)
Qin, H.-B., Liang, B., Guo, L.: Corps Spatial Information System IntegrationBased on SOA Model. Control & Automation 1 8, 11–12 (2009)
Ding, L.: Estimation of sand Liquefaction Based on Approved Grey Relational. Yellow Riter 34(11), 126–128 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Li, J., Lu, Y., Wan, J., Ye, L. (2014). Spatio-temporal Data Organization Method of “Air-Earth-Life” the Multidimensional Elements Based on SOA in Land Environment. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-09265-2_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09264-5
Online ISBN: 978-3-319-09265-2
eBook Packages: Computer ScienceComputer Science (R0)