GEOMATIC Techniques to Study the Ecological Processes of Field Data

Imteaz Husain

GEOMATIC Techniques to Study the Ecological Processes of Field Data

Imteaz Husain * §

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University of Karachi

GEOMATIC Techniques to Study the Ecological Processes of Field Data

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Abstract

Geometic techniques are widely applied in landscape ecology to quantify the spatial patterns exhibited within species and its associated root fungi. Several analyses have been developed and modified to improve the ability to detect and characterize the patterns by the growth of species and population in various scale. Analysis of spatial pattern for disease and pathogen are of interest for the understanding and management plan to control the increase or spread within plant populations due to the numerous shared channels. Mathematical approaches encounter and give quantitative information of infections caused by many soilborne plant pathogens which are generally found in clusters of patches. Reliable approach for the use of spatial data can be established either by the research objective or by the measurement types and sampling designs procedures. We applied several mathematical tools to quantify the quantitative nature of Meloidogyne javanica and its associated soil fungi and soil characteristics in the development of nematode populations in the tomato grown field.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Imteaz Husain. 2014. "GEOMATIC Techniques to Study the Ecological Processes of Field Data". Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 14 (GJSFR Volume 14 Issue F4).

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GJSFR Volume 14 Issue F4

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

canonical correspondence analysis geometic techniques spatial pattern analysis

Classification

GJSFR-F Classification MSC 2010: 92D40

Submission ReceivedMay 28, 2014
Peer Review Double Blind
Handling Editor
Accepted June 18, 2014
Published July 2, 2014

Version of record

v1.2

Issue date

September 4, 2014

Language

English

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Article Matrices

Total Score: 147

Country: Pakistan

Subject: Global Journal of Science Frontier Research

Authors: Imteaz Husain, Nasiruddin Khan, Syed Shahid Shaukat (PhD/Dr. count: 0)

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Publish Date: 2014 07, Wed

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Total Downloads: 68

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