Abstract
FAR (floor area ratio) is an important indicator for urban management. But now in China, FAR is basically determined by the planners with experience, which makes the authority and scientific of the urban planning been widely questioned and criticized. This article attempts to apply quantitative methods to determine the value of FAR. This research utilized the spatial analysis by Geographical Information System (GIS), combined it with geostatistics method to study the spatial distribution of FAR. We used ArcGIS software to carry out the experiment study. The case of Wuhan study shows that the result of Kriging interpolation is superior to other interpolation algorithms and it can produce the minimum forecast error. According to the cross validation table, it is considered that Kriging interpolation is the optimal method for estimation and projection of FAR.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hou, J., et al.: Practical geostatistics: spatial information statistically. Geological Publishing House (1998)
Wang, Z.: The geostatistics in ecology. Science Press (1999)
Du Daosheng, C.F.: Application of the Integration of Spatial Statistical Analysis with GIS to the Analysis of Regional Economy. Geomatics and Information Science of Wuhan University 27(4), 391–395 (2002)
Gong, J., Xia, B., Liu, Y.: Study on spatial-temporal heterogeneities of urban ecological security of Guangzhou based on spatial statistics. Acta Ecologica Sinica 30(20), 5626–5634 (2010)
Yang, Z., Cai, J.: Progress of Spatial Statistics and Its Application in Economic Geography. Progress in Geography 29(6), 757–768 (2010)
Calderón, G.F.-A.: Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation. International Advances in Economic Research 15, 44–58 (2009)
Xie, H.: Regional eco-risk analysis of based on landscape structure and spatial statistics. Acta Ecologica Sinica 28(10), 5020–5026 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, X., Miao, L. (2015). The Study on Spatial Distribution of Floor Area Ratio Based-on Kriging——The Case of Wuhan City. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_53
Download citation
DOI: https://doi.org/10.1007/978-3-662-45737-5_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45736-8
Online ISBN: 978-3-662-45737-5
eBook Packages: Computer ScienceComputer Science (R0)