Navy Federal Credit Union Adopts GIS for Branch Expansion

Esri Business Analyst and Data Will Help Analyze Growth, Product Offerings

Navy Federal Credit Union, the world’s largest credit union, headquartered in Vienna, Virginia, has licensed Esri Business Analyst software and an extensive array of business data to support its expansion strategy over the next several years. First organized in 1933 with only seven members, Navy Federal has grown to more than 3.6 million members and $44 billion in assets. To meet membership growth demands, the credit union will leverage the Business Analyst platform to optimize its network of bank branches and decide on a distribution strategy for financial services products.

Navy Federal will use Business Analyst to gain a better understanding of its members and competition as it looks to identify expansion opportunities. The credit union wanted to ensure that it had a solution that was able to provide different modeling scenarios, such as the effects of cannibalization on existing branches.

Its field of membership includes all US Department of Defense personnel and contractors, other US government personnel assigned to or stationed at the Department of Defense installation, and family members of both.

“Navy Federal is a shining example of how businesses that know their community well can apply geographic knowledge to serve them even better,” says Simon Thompson, director of commercial business at Esri. “This innovative organization has built a business based on loyalty, service, and understanding client needs. Working together, we have created an ideal match between two companies that have the same client and employee values.”

Navy Federal is currently implementing Business Analyst along with Esri’s Traffic Counts and Banking Potential datasets. Esri partner 4CTechnologies, located in Pittsburgh, Pennsylvania, is providing training to staff members, as required by Navy Federal, to ensure that they are able to apply the technology to their marketing analysis regardless of software experience levels.

For more information on how commercial businesses use geographic information system (GIS) technology, visit

[Source: Esri press release]

The Applications of Model-based Geostatistics in Helminth Epidemiology and Control

Advances in Parasitology, 2011; 74:267-96.

Magalhães RJ, Clements AC, Patil AP, Gething PW, and Brooker S.

“Funding agencies are dedicating substantial resources to tackle helminth infections. Reliable maps of the distribution of helminth infection can assist these efforts by targeting control resources to areas of greatest need. The ability to define the distribution of infection at regional, national and subnational levels has been enhanced greatly by the increased availability of good quality survey data and the use of model-based geostatistics (MBG), enabling spatial prediction in unsampled locations. A major advantage of MBG risk mapping approaches is that they provide a flexible statistical platform for handling and representing different sources of uncertainty, providing plausible and robust information on the spatial distribution of infections to inform the design and implementation of control programmes. Focussing on schistosomiasis and soil-transmitted helminthiasis, with additional examples for lymphatic filariasis and onchocerciasis, we review the progress made to date with the application of MBG tools in large-scale, real-world control programmes and propose a general framework for their application to inform integrative spatial planning of helminth disease control programmes.”

Geostatistical Approach for Operating Speed Modelling on Italian Roads

4th International Symposium on Highway Geometric Design, 02-05 June 2010, Valencia, Spain

A.Mazzella, F.Pinna, and C.Piras

“Injuries are one of the main causes of death according to W.H.O. For this reason the attention of road safety researchers especially regards the study of the relationship between driver and road environment.

“Several research works show that operating speed is an excellent driver behavior parameter. This article describes a different approach to the classical definition of prediction models for operating speed on horizontal curves. In this paper, the fundamental theories, the applied operating procedures and the first results obtained with the application of Geostatistics are discussed. The mathematical models expressing operating speed in function of horizontal curves characteristics found in International scientific literature, have mainly been built on the basis of Classical Statistics. For this reason, it needs to be pointed out that the interpolative techniques found in Classical Statistics are based upon the use of canonical forms (linear or polynomial regressions) that completely ignore the correlation law between collected data. As such, the determined interpolation stems from the assumption that the data represent a random sample.

“The models described in this article have instead been created with the geostatistical interpolation technique (i.e. Kriging). This technique allows to obtain the “best” estimates possible because it considers the true correlation law between the measured data.

“The applied methods are then described along with the results obtained in the field of road safety by applying Geostatistics which, for several years, have been used, with positive results, in all scientific and engineering fields dealing with empirical data analysis and processing.”