This paper presents an approach for categorizing documents according to their implicit locational relevance. We report a thorough evaluation of several classifiers designed for this task, built by using support vector machines with multiple alternatives for feature vectors. Experimental results show that using feature vectors that combine document terms and URL n-grams, with simple features rel...

High levels of immigration to the United States have caused the size of the foreign-born population to increase dramatically in recent years. Recent immigrants are concentrated in several states, particularly California. This paper examines the determinants of the intended state of residence of new recipients of legal permanent-resident status and new refugees over the 1989–94 period. The prese...

Mutual advancements in wireless communications and geospatial technologies are creating real-time, pervasive tracking environments capable of capturing detailed information about individual activities in space and time. These advances will potentially provide benefits for individuals, researchers and commercial interests. Among the more exciting possibilities are location-based services (LBS). ...

ATLIS (short for “ ATLIS Tags Locations in Strings”) is a tool being developed using a maximum-entropy machine learning model for automatically identifying information relating to spatial and locational information in natural language text. It is being developed in parallel with the ISO-Space standard for annotation of spatial information (Pustejovsky, Moszkowicz & Verhagen 2011). The goal of A...

This study examines how locational (region and locale), community-level (school district poverty and adult educational attainment), and school district-level (district size and ratios of students to key school personnel) variables are related to indicators of hostile school climate for lesbian, gay, bisexual, and transgender (LGBT) youth. Indicators of hostile climate included frequency of homo...

We empirically investigated the influence of site attributes, proximity to labor, specific industries, and labor force characteristics on the location of employment concentrations. The study focuses on two dimensions of labor force including race and gender. We examined racial and gender disparity by studying concentrated Black, White, male, and female employment. While job opportunities are ex...

While most consider the United States the world’s flagship capital market in terms of integration and efficiency, we show this is not necessarily the case. Using industryspecific measures of state segmentation, we reveal significant valuation differences across states. Our analysis attempts to explain these differences using state-specific regulatory data such as banking regulations, minimum wa...