Urban building energy models present a valuable tool for promoting efficiency in design and control, as well managing urban systems. However, the current often overlook importance of site-specific characteristics, spatial attributes variations within specific area city. This methodological paper moves beyond state-of-the-art modeling urban-scale by incorporating an improved place-based approach...

Facies modeling is an essential part of reservoir characterization. The connectivity of facies model is very critical for the dynamic modeling of reservoirs. Carbonate reservoirs are so heterogeneous that variogram-based methods like sequential indicator simulation are not very useful for facies modeling. In this paper, multiple point geostatistics (MPS) is used for facies modeling in one of th...

a watershed management program is usually based on the results of watershed modeling. accurate modeling results are decided by the appropriate parameters and input data. precipitation is the most important input for watershed modeling. precipitation characteristics usually exhibit significant spatial variation, even within small watersheds. therefore, properly describing the spatial variation o...

This article describes and evaluates a class of methods for performing automated analysis of eye-movement protocols. Although eye movements have become increasingly popular as a tool for investigating user behavior, they can be extremely difficult and tedious to analyze. In this article we propose an approach to automating eye-movement protocol analysis by means of tracing—relating observed eye...

The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the healthy state. Pathological states of the liver may involve liver cells affected in a zonated manne...

[1] In the present paper it is shown how profiles consisting of closely spaced ( 10 m) temperature measurements at shallow depth, obtained at several instances during one season, provide a detailed record of lateral variations in vertical groundwater flow. This is illustrated by a field study around the Peel Boundary Fault zone that cuts through the unconsolidated, siliciclastic deposits that o...

Image matching is one of the most important tasks in computer vision. Most existing methods cannot achieve precise pattern matching under spatially varying illumination variations and partial occlusions. In this paper, we explicitly model spatial illumination variations as low-order polynomial functions in an energy minimization framework. Data constraints for the alignment and illumination par...