What makes a neighborhood space vital? This article explores the possibility that the presence of trees and grass may be one of the key components of vital neighborhood spaces. We report on 758 observations of individuals in 59 outdoor common spaces in a residential development. Twenty-seven of the neighborhood common spaces were relatively green, whereas 32 were relatively barren. Results indi...

This paper explores the role of public institutions in reducing or fostering neighborhood violence and crime. Understanding institutional density as a neighborhood effect, this paper examines how ten public institutions and structures influence crime rates in Chicago. Using multivariate regression analysis and geo-coded spatial models, the relationship between the institutions and four differen...

When joined to a stipulated neighborhood digraph, an objective function deÞned on the solution space of a real combinatorial optimization problem forms a landscape. Grover shows that landscapes satisfying a certain difference equation have properties favorable to local search. Studying only symmetric and regular neighborhood digraphs, Stadler deÞnes elementary landscapes as those which can be r...

We present a data mining approach for reducing the search space of local search algorithms in a class of binary integer programs including the set covering and partitioning problems. The quality of locally optimal solutions typically improves if a larger neighborhood is used, while the computation time of searching the neighborhood increases exponentially. To overcome this, we extract variable ...

Many statistical models over a discrete sample space often face the computational difficulty of the normalization constant. Because of that, the maximum likelihood estimator does not work. In order to circumvent the computation difficulty, alternative estimators such as pseudo-likelihood and composite likelihood that require only a local computation over the sample space have been proposed. In ...

Manifold learning aims to find a low dimensional parameterization for data sets which lie on nonlinear manifolds in a high-dimensional space. Applications of manifold learning include face recognition, image retrieval, machine learning, classification, visualization, and so on. By studying the existing manifold learning algorithms and geometric properties of local tangent space of a manifold, w...

We have created a gradient-based face navigation interface that allows users to explore a large face space based on an eigenface technique. This approach to synthesizing faces contrasts with more typical techniques for forming composite faces based on the blending of facial features. We compare three ways of moving through the face space, using two types of sliders and a face-wheel. These are a...

isovist and visibility graph analysis tools are used to quantify and measure the quality of space, and despite their lack of maturity and evolution, they are considered to be the future of space analysis tools by researchers. this study was undertaken with the purpose of introducing the aforementioned tools for analyzing sanandaj’s urban areas. in this study, four different urban areas in sanan...

sustainable transportation with the aim of urban sustainable development aims to improve the environmental quality and the socio-economic condition. one of the most important strategies for achieving sustainable transportation is planning and designing for walking, or in other words increasing urban walkability. therefore, increased walkability has become a key issue in urban planning. understa...