Skip to main content

The Study on Spatial Distribution of Floor Area Ratio Based-on Kriging——The Case of Wuhan City

  • Conference paper
Book cover Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 482))

  • 2751 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hou, J., et al.: Practical geostatistics: spatial information statistically. Geological Publishing House (1998)

    Google Scholar 

  2. Wang, Z.: The geostatistics in ecology. Science Press (1999)

    Google Scholar 

  3. 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)

    Google Scholar 

  4. 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)

    Google Scholar 

  5. Yang, Z., Cai, J.: Progress of Spatial Statistics and Its Application in Economic Geography. Progress in Geography 29(6), 757–768 (2010)

    Google Scholar 

  6. Calderón, G.F.-A.: Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation. International Advances in Economic Research 15, 44–58 (2009)

    Article  Google Scholar 

  7. Xie, H.: Regional eco-risk analysis of based on landscape structure and spatial statistics. Acta Ecologica Sinica 28(10), 5020–5026 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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)

Publish with us

Policies and ethics