Mapping Urban and Rural Foreclosure Indicators

As part of his dissertation research, CURA Graduate Affiliate Michael Webb created a visual representation of the foreclosure rates in different parts of the country. Webb explains that "[w]hile the post-2007 increase in foreclosures has significantly impacted the US housing market and households across the country, rural-urban differences in foreclosure rates have failed to attract significant attention. To add geographic richness to the foreclosure literature, this paper examines place-based differences in mortgage default rates across Ohio.  Counties are classified as urban, suburban, micropolitan, and rural, and their foreclosure rates are regressed against poverty rates and other place-based indicators. The paper adopts an innovative methodology that understands poverty as a continuum, and its conclusions relate differences in rural-urban poverty to households’ ability to cope with housing stress."

Campus Base Map

CURA Graduate Associate Shaun Fontanella used the ESRI campus basemap template to collect and aggregate data on campus into a GIS. The data came from CAD, feature classes, DEMs, and LiDAR. The template is hosted on an ArcGIS server using the Javascript API and a map template built on ArcGIS online.

T-100 Airport Traffic Analysis

The T-100 data set from the Bureau of Transport Statistics provides excellent information on domestic and international flight connections from and to the US. It also provides a highly detailed view of both passenger and freight flows.

This application, created by former CURA Graduate Affiliate Kejing Peng, visualizes data using a worldwide basemap. It is written in Microsoft Silverlight and connects to an ESRI ArcGIS for Server map service.

You can view the data profile on the RITA website.

Kejing updated and renamed the T-100 Airport Traffic Analysis in early 2014. The new application is called Sky Explorer and can be viewed from our website.

Air Accessibility Map

This project provides an overview of current US domestic air passenger traffic. It shows results in detailed maps of the air service accessibility of individual airports. The wide range and geographical scope (400+ airports) of the data assure coverage of both large national hubs as well as many smaller airports in every region. The idea is to use non-stop service as an accessibility index to develop contrasts between levels of service (e.g., non-stop vs. one- and two-stop service). Such an index provides a simple summary measure of the Air Accessability Map geographical contrasts between places in the current domestic air passenger transport system.

The project illustrates changes in these results over time and produces measures of the changes in air accessibility. It is expected that many interesting uses of the system will continue to emerge. By providing a comprehensive panorama for all parts of the US, an unusually rich data portrait is available. Each region has individual maps for its own airports.