the purpose of this study is to determine spatial dependency pattern of systematic risk of dry land wheat production in iran, using spatial autoregressive models. to this end, spatial weighted contiguity matrix was constructed based on the delaunay triangularization method, and correlation coefficient among these neighbors were estimated using spatial autoregressive models. in addition, the rol...

In the current study, the effects of interactions of the moving loads and the attached mass-spring-damper systems of the composite plates on the resulting dynamic responses are investigated comprehensively, for the first time, using the classical plate theory. The solution of the coupled governing system of equations is accomplished through tracing the spatial variations using a Navier-type sol...

This paper uses spatial data of cases of intimate partner violence against women (IPVAW) to examine neighborhood-level influences on small-area variations in IPVAW risk in a police district of the city of Valencia (Spain). To analyze area variations in IPVAW risk and its association with neighborhood-level explanatory variables we use a Bayesian spatial random-effects modeling approach, as well...

The influence of spatial and temporal variations in wind forcing on the circulation in lakes is investigated using field data and the three-dimensional Estuary and Lake Computer Model (ELCOM) applied to Lake Kinneret. Lake Kinneret field data from six thermistor chains and eight wind anemometers deployed during July 2001 are presented. Internal wave motions are well reproduced by the numerical ...

Rapidly growing urban areas tend to reveal distinctive spatial and temporal variations of land use/land cover in a locally urbanized environment. In this article, the author analyzes urban growth phenomena at a local scale by employing Geographic Information Systems, remotely sensed image data from 1984, 1994, and 2004, and landscape shape index. Since spatial patterns of land use/land cover ch...

This lecture describes how to learn models for detecting objects. These models explicitly represent objects parts and allow the spatial relations between these parts to vary. This differs from the methods we used to model faces and text which did not represent parts and instead relied on features that were invariant to these spatial variations. But many objects have large spatial variations and...

bacteria play a major role in environmental processes. however, the spatial and seasonal variations and environmental impact factors on different bacterial groups have been poorly studied. in the present study, we compared the spatial and seasonal variations of two bacterial groups (acidobacteria, actinobacteria) from early snow melt and late snow melt locations in alpine tundra. the results re...