Comparing Discriminant Analysis, Ecological Niche Factor Analysis and Logistic Regression Methods for Geographic Distribution Modelling of Eurotia ceratoides (L.) C. A. Mey
نویسندگان
چکیده مقاله:
Eurotia ceratoides (L.) C. A. Mey is an important plant species in semi-arid landsin Iran. New approaches are required to determine the distribution of this plant species. Forthis reason, geographical distributions of Eurotia ceratoides were assessed using threedifferent models including: Multiple Discriminant Analysis (MDA), Ecological Niche FactorAnalysis (ENFA) and Logistic Regression (LR). The study area was located in northeastrangelands of Semnan, Iran. Sampling was performed in each vegetation type usingrandomized-systematic method. Vegetation data in addition to environmental factors' datasuch as topography and soil were prepared. The MDA and LR methods were performed withSPSS software as predictive modelling methods based on presence and absence data. TheENFA model was performed by the means of necessary statistical analysis in Biomapper(Version 4.0) software only by presence data. The plant predictive mapping needs the maps ofall effective factors based on model parameters. Mapping of soil characteristics was done bygeo-statistical method. The accuracy of the predicted map was tested with the actualvegetation map. Predictive maps of E. ceratoides (based on the LR and MDA methods) withKappa coefficients as 0.56 and 0.64 had a good accordance with actual vegetation mapprepared for the study area. Kappa coefficient of potential habitat map (based on ENFAmethod) of E. ceratoides was 0.85; hence, it had a very good accordance. The results obtainedby all methods showed that this species is distributed in the rangeland with pH as 7.8-8, EC as0.17-0.26 dc/m and silty-sandy texture in 1600-2200 m elevation. Organic matter in the depthof 20-80 cm and pH in the depth of 0-20 cm did not significantly influence the differences.Minimum sampling is needed using these methods which provide worth while data about thepresence of the plant species in the other places.
منابع مشابه
comparing discriminant analysis, ecological niche factor analysis and logistic regression methods for geographic distribution modelling of eurotia ceratoides (l.) c. a. mey
eurotia ceratoides (l.) c. a. mey is an important plant species in semi-arid landsin iran. new approaches are required to determine the distribution of this plant species. forthis reason, geographical distributions of eurotia ceratoides were assessed using threedifferent models including: multiple discriminant analysis (mda), ecological niche factoranalysis (enfa) and logistic regression (lr). ...
متن کاملPrediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis
Background: Unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. In the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. Methods : In this cross-sectional study, 887 pregnant mothers referring to health centers in Khorramabad, Iran, in 2012 were ...
متن کاملa phonological contrastive analysis of kurdish and english
deposite the different criticisms on contrastive analysis it has been proved that the results of it(when processed)can be usuful in a tefl environment,specially at the level of phonology.this study is an attempt to compare and contrast the sound systems of kurdish and english for pedagogical aims. the consonants,vowels,stress and intonation of the twolanguages are described by the same model-ta...
15 صفحه اولComparing Neural Network, Logistic Regression, and Discriminant Analysis for Knowledge Representation and Classification Explanation
Many research studies have proved neural networks as a viable alternative to statistical models for classification tasks. However, compared with statistical models, neural networks have had the drawback of being unable to explain its classification logic until the development of rule extraction algorithms from trained neural networks. This research attempts to compare the results of the rule ex...
متن کاملprediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis
background: unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. in the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. methods : in this cross-sectional study, 887 pregnant mothers referring to health centers in khorramabad, iran, in 2012 were selec...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 3 شماره 1
صفحات 45- 57
تاریخ انتشار 2013-06-17
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023