heavy metals, e.g. cd and pb emit and release into the environment during cement production and are deposited into soils. this research was carried out to determine the concentration and spatial distribution of trace elements in top soils around the kurdistan cement factory, west of iran in order to evaluate the effect of cement factory on the environment. twenty-four soil samples were collecte...

a yield–soil–topography analysis. Spectral analysis was utilized by Timlin et al. (1998) to study the influence of Quantifying the spatial variability of crop yields and yield-affecting topographic location and surface curvature on corn factors are important issues in precision agriculture. Topography is frequently one of the most important factors affecting yields, and grain yield based on dat...

"> The present study described the diversity of wheat and barley varieties andlandraces available in farmer’s fields in Syria using different indicators. Analysisof spatial and temporal diversity and coefficient of parentage along withmeasurements of agronomic and morphological traits were employed to explain thediversity of wheat and barley varieties or landraces grown by farmers in Syria.Farm...

background: more than 20% of deaths from traffic crashes are related to pedestrians. this figure in tehran, the capital of iran, reaches to 40%. this study aimed to determine the high-risk areas and spatially analyze the traffic crashes, causing death to pedestrians in tehran.   methods: mapping was used to display the distribution of the crashes. determining the distribution pattern of crashes...

Recent advances in precision agriculture technologies and spatial statistics allow realistic, site-specific estimation of nematode damage to field crops and provide a platform for the site-specific delivery of nematicides within individual fields. This paper reviews the spatial statistical techniques that model correlations among neighboring observations and develop a spatial economic analysis ...

A data simulator that can facilitate the development of improved sampling and analysis procedures for spatial analysis is proposed. The simulator, implemented in MATLAB, provides a graphical user interface and allows users to generate data layers satisfying given spatial properties and a response variable dependent upon user specified functions. It has a modular structure and is capable of mode...

To evaluate the quality of the ecosystem and for making resources and land management decisions landscapes have to be assessed quantitatively. For a better understanding of landscape processes and their characterization, the analysis of the inherent variability is a major factor. Four case studies in which problems associated with landscape analysis are discussed. Spatial processes remain a mai...

Agricultural producers and researchers have been aware of spatial and temporal yield variability for a long time (Mercer and Hall 1911, Lark and Stafford 1997, Lowenberg-DeBoer et al. 1997). Most farmers recognize that spatial variability in yield exists when they harvest. However, this knowledge is generally of an informal, anecdotal nature, which must be made more precise if it is to be used ...

Through a geographically weighted panel regression analysis, we demonstrate the spatially varying relationship between weather and corn yields. A balanced panel data of 958 U.S. corn production counties for the period 2002-2006 is used. The results indicate that the relationship between weather and corn yield has large spatial variability. In specific, temperature tends to have negative margina...