Land suitability classification is important in planning and managing sustainable land use. Most approaches to land suitability analysis combine a large number of land and soil parameters, and are time-consuming and costly. In this study, a potentially useful technique (combined feature selection and fuzzy-AHP method) to increase the efficiency of land suitability analysis was presented. To thi...

the current research was carried out to find out the most effective environmental factors in plant species occurrence by classification and ordination methods. for this purpose, the study was conducted in nir rangelands of yazd province and topography, climate, soil and grazing intensity data of the region were determined. sampling method was randomized–systematic and within each sampling unit ...

the aim of this study was to investigate relationships between soil properties and plant species to determine the most effective factors separating vegetation communities in rineh rangeland. three stratifying variables were selected including slop, aspect and elevation. the study area was partitioned by combining these classes to generate homogenous units. 1m2 quadrates were located at sampling...

The vegetation of Eshtehard salt marshes in Karaj was studied, using the Braun-Blanquet method. Sixty five relevés recorded in different salt habitats were analyzed by Analyse Factorielle des Correspondances (AFC) and Classification Ascendant Hierarchique (CAH) methods, using the Anaphyto software. In general, 11 plant associations determined in the area: Aeluropodetum littoralis, Artemisietum ...

Here we assess the ability of random whole metagenomic sequencing approaches to discriminate between similar soils from two geographically distinct urban sites for application in forensic science. Repeat samples from two parklands in residential areas separated by approximately 3 km were collected and the DNA was extracted. Shotgun, whole genome amplification (WGA) and single arbitrarily primed...

EFFECTS Effect representing class of specific effects named abstract effect (AE). All kinds of specific effects (SE) can be collected into classes of AE. It is true not only for effects but for different kinds of information from literature in general. Any types of documents from different fields can be classified by extracting of different kinds of AE from them. Let’s analyze effect of change ...

The purpose of this article is to demonstrate the application of probabilistic neural networks (PNNs) as a classification tool in the slope stability estimation. PNNs are applied to estimate slope stability according to the slope geometric shapes and soil mechanical parameters. Unlike other neural network training paradigms, PNNs are characterized by high training speed and their ability to pro...