«spatial yield analysis»
۶۱۸۰ نتیجهIntegrating Spatial and Attribute Characteristics of Extended Voronoi Diagrams in Spatial Patterning Research: A Case Study of Wuhan City in China
Rapid urbanization has caused numerous problems, and the urban spatial structure has been a hot topic in sustainable development management. Urban spatial structure is affected by a series of factors. Thus, the research model should synthetically consider the spatial and non-spat
Spatially Resolved Laser Induced Breakdown Spectroscopy in Orthogonal Double Pulse Configuration and Laser Ablation Inductively Coupled Plasma Mass Spectrometry of Archaeological Findings
Local analysis of dental calcified tissues plays important role in medicine, toxicology, environmental science, paleontology and anthropology. In these fields of action a bulk analysis of a mineralized material from a defined and welllocalized volume belongs to a marginal stream.
Object-based spatial classification of forest vegetation with IKONOS imagery
Object-based image analysis (OBIA) is employed to classify forest types, including deciduous, evergreen and mixed forests, in a U.S. National Park unit using very high spatial resolution (VHR) IKONOS satellite imagery. This research investigates the effect of scale on segmentatio
Relative Efficiency of Spatial Analyses for Non-replicated Early-stage Sugarcane Field Experiments
In the early stages of sugarcane (Saccharum spp.) selection programs, large numbers of clones are tested in non-replicated plots. Field trends are likely to affect the performance of these non-replicated experimental genotypes and mask their true genetic potential. The purpose of
Spatial autocorrelation in biology 2. Some biological implications and four applications of evolutionary and ecological interest
Spatial autocorrelation analysis tests whether the observed value of a variable at one locality is significantly dependent on values of the variable at neighbouring localities. The method was extended by us in an earlier paper to include the computation of correlograms for spatia
Monitoring Natural Resources in Conflict Using an Object-based Multiscale Image Analysis Approach
Natural resources are sometimes exploited beyond a sustainable level, spoiling natural habitats, displacing local communities, affecting people’s livelihoods and even fuelling armed conflicts. The lack of precise geographic information is a critical limit in the design of appropr
Hybrid Spatial Modeling of Non-Stationary Process Variations
Accurate characterization of spatial variation is essential for statistical performance analysis and modeling, post-silicon tuning, and yield analysis. Existing approaches for spatial modeling either assume that: (i) non-stationarities exist due to a smoothly varying trend compon
Spatial patterns of lightning - caused forest fires in Ontario , 1976 – 1998
The spatial pattern of forest fire locations is of interest for fire occurrence prediction and for understanding the role of fire in landscape processes. A spatial statistical analysis of lightning-caused fires in the province of Ontario, between 1976 and 1998, was carried out to
Mutual information spectrum for selection of event-related spatial components. Application to eloquent motor cortex mapping
Spatial component analysis is often used to explore multidimensional time series data whose sources cannot be measured directly. Several methods may be used to decompose the data into a set of spatial components with temporal loadings. Component selection is of crucial importance
Application of Spatial Data Mining for Agriculture
The research of spatial data is in its infancy stage and there is a need for an accurate method for rule mining. Association rule mining searches for interesting relationships among items in a given data set. This paper enables us to extract pattern from spatial database using k-