Modeling Earth Systems and Environment

, Volume 4, Issue 1, pp 281–294 | Cite as

Multivariate statistical techniques for prediction of tree and shrub species plantation using soil parameters

  • Govind Eknath Kulkarni
  • Aniket Avinash Muley
  • Nilesh Kailasrao Deshmukh
  • Parag Upendra Bhalchandra
Original Article

Abstract

In this paper, an attempt has been made to find out the conceptual framework of urban greenery planning and resolve multifaceted environmental problems. The decision making for greenery space planning may be supported by applying geographical information system (GIS) and statistical data mining techniques. The major objective of this study is to identify the appropriate combination of tree for plantation purpose based on soil parameters. A total of 25 soil samples have been collected from in the Nanded Municipal Corporation. The result obtained from this study reveals that, correlation matrix, cluster and principle component analysis shows the significant soil parameters viz. pH, EC, magnesium, calcium and moisture. The spatial distribution maps of soil parameters provides the useful and prominent illustration tool in decision making process. For Green City/Green India programs spatial variation of soil parameters will be effective with GIS and statistical modelling approach and it may be helpful for green infrastructure development by using standard policies.

Keywords

GIS Clustering Principle component analysis Soil interpolation Nanded 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Govind Eknath Kulkarni
    • 1
  • Aniket Avinash Muley
    • 2
  • Nilesh Kailasrao Deshmukh
    • 1
  • Parag Upendra Bhalchandra
    • 1
  1. 1.School of Computational SciencesSwami Ramanand Teerth Marathwada UniversityNandedIndia
  2. 2.School of Mathematical SciencesSwami Ramanand Teerth Marathwada UniversityNandedIndia

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