Spatial Modeling
Apartment Rent Prediction Using Spatial Modeling
... Real estate practitioners and academics have long sought to explain the variation in apartment rents through the use of regression models. Most of the research has focused on using a global mean function in an attempt to ...
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Spatial Modeling of Electrical Conductivity with Neural Network
... in spatial modeling of EC is concerned, Farifteh et ...for spatial modeling of EC with ANN in salt water intrusion ...of spatial variation, EC values need to be suitably estimated in ...
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Spatial Modeling on Net Enrollment Rate of Junior High in Mataram
... of spatial modeling of NER was started by conducting classical regressive analysis (Ordinary Least Square) on 8 independent ...the spatial dependency test, and the spatial lag test was carried ...
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Spatial Modeling for Capturing the Effects of Point Sources
... In this paper, deterministic ADMs, with their many advantages that originate from subject-matter expertise, form the basis of our approach for capturing uncertain- ties not captured by the deterministic ADM. Our ...
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Spatial Prediction of Forest Soil Carbon: Spatial Modeling and Geostatistical Approaches
... This modeling approach has been referred to as “measure and multiply” (Schimel and Porter, ...this modeling technique measures a soil property and multiplies by the area of a functionally classified land ...
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Spatial Modeling of Flood Risk in Karawang
... TerraSAR-X DSEM (TerraSAR-X DSM was exported to the 16 bit geotiff and then imported into the ILWIS system), (b) data processing for identification of flood hazard areas with TWI (Topographic Wetness Index) method ...
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Achieving uniformity in a semiconductor fabrication process using spatial modeling
... Unlike the first criterion, this one provides an immediate measure of uniformity. Changes in the correlation model and/or parameters is also allowed to influence the criterion and conseq[r] ...
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Spatial Modeling and Mapping of Tuberculosis Using Bayesian Hierarchical Approaches
... the spatial distribution of tuberculo- sis in ...for modeling TB relative risk in ...of modeling and mapping TB RR in ...of spatial methodology for the statistical analysis of risk from TB in ...
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Spatial Modeling of the Effects of Deflation Destruction of the Steppe Soils of Ukraine
... With this purpose, as a result of modelling, the raster models of spatial differentiation of wind erosion factors were created and the deflation soil loss in the steppe area of Ukraine was calculated. The ...
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Temporal-spatial modeling for fMRI data
... processes modeling to account for the event-related ...the spatial variation of the HRF, and the extent to which the linear relationship holds in various regions of interest for Parkinson’s disease ...
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Spatial modeling with R INLA : a review
... These models were originally available in R-INLA through discretely indexed models using a lattice (Illian et al., 2012a). While this is a common approach in the literature, it is not using all of the information in the ...
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Threshold modeling of extreme spatial rainfall
... The spatial modeling of rainfall is a long-standing topic in the environmental sciences, and has grown in importance with the realisation that a warming world is likely to bring more intense precipitation ...
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Spatial-explicit modeling of social vulnerability to malaria in East Africa
... As shown in Figures 4 and 5, vulnerability – and its decomposed domains – varies significantly in space. This is a result of a spatial variation of the underlying vulner- ability indicators. Figure 4 allows the ...
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Estimation of exposure to toxic releases using spatial interaction modeling
... the spatial interaction terms are ...(OLS, spatial lag, or spatial error), the best-per- forming distance decay function is highlighted in ...which spatial interaction models perform well and ...
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Spatial and Spatiotemporal Modeling of Epidemiological Data
... of spatial and spatiotemporal data has increased substantially in the last few decades due to advancement in computational tools, which enables us to collect real- time data coming from GPS, satellite ...with ...
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StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
... ConvNets for action recognition can be generally cate- gorized into 2D ConvNet and 3D ConvNet. 2D convolu- tion architectures (Simonyan and Zisserman 2014; Wang et al. 2016) extract appearance features from sampled RGB ...
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Effect of Spatial Scale on Modeling and Predicting Mean Cavity Tree Density: A Comparison of Modeling Methods
... Small-scale statistical modeling approaches (e.g., based on individual tree, plot, or stand scales) are overwhelmed by the variation inherent in the cavity tree resource. Understanding the magnitude of this ...
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Spatial Distribution of Tuberculosis in Mazandaran Province–Iran: Spatiotemporal Modeling
... spatiotemporal modeling and evaluating the effect of variables like the mean age, location, male to female ratio and registration date on TB incidence, first single variable and then multivariable Nested Poisson ...
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Assessment and Modeling of Geo Spatial Technology and Geo Spatial Intelligence Support for Joint Military Operations
... Numerous digital multispectral, hyper spectral and radar sensor platforms are used on-board both tactical and endurance UAVs for military applications in littoral regions. As the ability to move data quicker and in ...
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Residual spatial autocorrelation in macroecological and biogeographical modeling: a review
... any spatial data because observations from close locations are generally more related than would be expected on a random basis (Kissling and Carl ...of spatial influence result from, for example, contagious ...
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