Open AccessA brief survey of ecological data analysis techniques
Author(s) -
Neelam Singh,
Shailendra Kumar
Publication year - 2020
Publication title -
international research journal of agricultural economics and statistics
Language(s) - English
Resource type - Journals
eISSN - 2231-6434
pISSN - 2229-7278
DOI - 10.15740/has/irjaes/11.2/311-317
Subject(s) - species evenness , sampling (signal processing) , imperfect , sampling frame , dominance (genetics) , ecology , similarity (geometry) , frame (networking) , population , geography , computer science , species diversity , sociology , biology , artificial intelligence , telecommunications , filter (signal processing) , gene , linguistics , philosophy , biochemistry , demography , image (mathematics) , computer vision
It is emphasize in the paper, that because of qualitative change of ecological data and its complexity the analysis and estimation of population parameter is a complex process. Therefore, for ecological data collection, the sampling frame clearly defined distinct and identifiable. More often, sampling frames are imperfect, further different techniques measure of species diversity, evenness, community similarity, dominance indices has been given which can be useful for research scholars.