Spatial Data Analysis

  • Dilip KumarEmail author
  • R. B. Singh
  • Ranjeet Kaur
Part of the Sustainable Development Goals Series book series (SDGS)


In the previous chapters, you have learnt and understood about the creation of digital data sets in the GIS environment. Further, digital data sets can be used for mapping and extracting information by spatial analysis for better planning of the Earth’s resources and phenomena as well as identifying the new associations between them to increase our understanding of the real world. After reading this chapter you should be able to understand the following:
  • The need for spatial analysis

  • Methods of spatial analysis in single and multiple layers

  • Query and reasoning in a GIS environment

  • Measurement from the data sets of various features

  • Transformation of data sets by buffering, topological overlay and spatial interpolation

  • Network analysis

  • Data manipulation


Spatial analysis Proximity analysis Overlay analysis Thiessen’s polygon DEM Network analysis Spatial data manipulation 


  1. Aronoff S (1989) Geographical information systems: a management perspective. WDL Publications, Ottawa, CanadaGoogle Scholar
  2. Longley PA, Goodchild MF, Maguire DJ, Rhind DW (2001) Geographic information systems and science. Wiley, LondonGoogle Scholar
  3. Peucker TK, Fowler RJ, Little JJ, Mark DM (1978) The triangulated irregular network. In: Proceedings of the ASP digital terrain model symposium, St. Louis, MO, pp 516–540Google Scholar
  4. Singh RB, Kumar D (2012) Remote sensing and GIS for land use/cover mapping and integrated land management: case from the middle Ganga plain. Front Earth Sci 6(2):167–176. Scholar

Copyright information

© Springer International Publishing AG  2019

Authors and Affiliations

  1. 1.Department of Geography, Shaheed Bhagat Singh Evening CollegeUniversity of DelhiNew DelhiIndia
  2. 2.Delhi School of EconomicsUniversity of DelhiNew DelhiIndia
  3. 3.Department of Geography, Shaheed Bhagat Singh Evening CollegeUniversity of DelhiNew DelhiIndia

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