نتایج جستجو برای: spatial variations modeling
تعداد نتایج: 891204 فیلتر نتایج به سال:
An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even immeasurable. Spatial correlation of censored survival data is one of these sources that are rarely considered in the literatures. In this paper,...
The objective of this study is to develop a multiple linear regression model that measures the relationship between the church services supply and the attendance to the services in the Uppsala diocese, Church of Sweden. By reviewing previous models and examining the nature of data available, two research questions were introduced, namely, the problem of omitted variables and the problem of spat...
This study was conducted in a sugar beet field at Collage of Agriculture Experimental Station, Ferdowsi University of Mashhad, Iran. In order to describe the pattern of spatial variations and density of Chenopodium album, Solanum nigrum, Amaranthus sp., Portulaca oleracea, Echinochla crus-galli, and Convulvulus arvense as the main prevalent annual and perennial weeds of sugar beet fields, geost...
the soil erodibility factor varies spatially according to variations of some soil properties on the surface. this study was carried out to compare spatial variability of the soil erodibility factor as estimated and measured using the usle. the study was conducted in an agricultural zone with an area of in 900 km2 in hashtrood, northwestern iran. in the study area, 36 square grids with a dimensi...
This study was conducted in a sugar beet field at Collage of Agriculture Experimental Station, Ferdowsi University of Mashhad, Iran. In order to describe the pattern of spatial variations and density of Chenopodium album, Solanum nigrum, Amaranthus sp., Portulaca oleracea, Echinochla crus-galli, and Convulvulus arvense as the main prevalent annual and perennial weeds of sugar beet fields, geost...
The atmospheric effects, especially the ionosphere, are the key limiting factors for real-time high accuracy positioning using the network RTK technique with a medium-to-long-range baseline separation. To investigate suitable approaches to improve ionospheric modeling towards a real-time CMlevel positioning using the Victorian continuously operating reference stations network (i.e. GPSnet) syst...
During the CINDY/DYNAMO field campaign (fall/winter 2011), intensive measurements of the upper ocean, including an array of several surface moorings and ship observations for the area around 75°E–80°E, Equator-10°S, were conducted. In this study, large-scale upper ocean variations surrounding the intensive array during the field campaign are described based on the analysis of satellite-derived ...
Modeling and predicting ocean flow are great challenges in physical oceanography. To answer such challenges, mobile sensing platforms have been an effective tool for providing Lagrangian flow information. Such information is typically incorporated into ocean models using Lagrangian data assimilation which requires significant amount of computing power and time. Motion tomography (MT) constructs...
The purpose of this paper is to estimate the water balance in a semi-arid environment with limited in situ data using a remote sensing approach. We focus on the Lake Manyara catchment, located within the East African Rift of northern Tanzania. We use a distributed conceptual hydrological model driven by remote sensing data to study the spatial and temporal variability of water balance parameter...
We used field observations, laboratory measurements and a reactive transport model (RTM) to investigate temporal spatial variations in benthic nitrogen (N) cycling the eutrophic temperate macro-tidal Vilaine Bay (VB), France. A time series of flux pore-water profiles dissolved inorganic N (DIN: ammonium, nitrate, nitrite) organic (DON) was conducted at single station between April September 201...
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