Esri Launches Comprehensive Web-Based Redistricting Solution

New Service Enables Immediate Development and Sharing of Redistricting Scenarios

Esri now offers the first and only service that facilitates the creation and sharing of redistricting plans on a web-based platform. Esri Redistricting enables state and local governments, advocacy groups, and citizens to complete official, regulation-compliant plans and share them directly with specific stakeholders or the public. The State of Alabama was among the first to procure this solution. A free 30-day trial is available at esri.com/redistricting.

“As government is encouraged to bring more transparency and accountability to critical activities such as redistricting, we are seeing significant interest in this offering,” says Richard Leadbeater, state government industry manager at Esri. “Besides providing an online platform for developing redistricting plans, this solution makes it possible to engage citizens in what has long been an exclusive process.”

Esri Redistricting provides staff and decision makers with a common picture of current or proposed districts and sophisticated geospatial analysis tools required for redistricting. It can be quickly accessed from multiple locations through a web browser, eliminating the need to install and maintain software.

Customers can

  • Delineate district boundaries based on census geography.
  • Examine demographics of critical areas.
  • Analyze for compactness or fracturing.
  • Monitor population targets.

Because Esri Redistricting includes basemaps, past census data, and Public Law 94-171 data, customers can begin to evaluate redistricting scenarios before official 2010 US Census data is released in March 2011. The application also facilitates the production of documentation that may be requested by the Department of Justice to ensure that proposed district boundaries comply with Section 5 of the Voting Rights Act, which prohibits discriminatory redistricting practices.

To meet the redistricting needs of states, counties, local governments, and advocacy organizations of all sizes, Esri Redistricting is available as either Software as a Service on a subscription basis or a configured offering hosted and managed by Esri or deployed on premises. The configured option allows the integration of customers’ proprietary datasets to create a robust, data-rich resource to support redistricting as well as future legislative and operational decision making.

To learn more and sign up for the free trial, visit esri.com/ redistricting. To request a quote, e-mail redistricting@esri.com.

[Source; Esri press release]

Free Webinar on Spatial Pattern Analysis

Introduction to Spatial Pattern Analysis
Thursday, February 24, 2011
9:00 a.m., 11:00 a.m., and 3:00 p.m. (PST)

Join us for this online seminar to learn about the spatial statistics tools in ArcGIS and how they can be used to find patterns, trends, and relationships in your geographic data. The 60-minute seminar will also cover various statistical methods that you can use such as descriptive spatial statistics, global pattern analysis, and local pattern analysis.

Spatial Analysis and Land Use Regression of VOCs and NO2 in Dallas, Texas During Two Seasons

Journal of Environmental Monitoring, 2011, Advance Article

Luther A. Smith, Shaibal Mukerjee, Kuenja C. Chung, and Jim Afghani

“Passive air sampling for nitrogen dioxide (NO2) and select volatile organic compounds (VOCs) was conducted at 24 fire stations and a compliance monitoring site in Dallas, Texas, USA during summer 2006 and winter 2008. This ambient air monitoring network was established to assess intra-urban gradients of air pollutants to evaluate the impact of traffic and urban emissions on air quality. Ambient air monitoring and GIS data from spatially representative fire station sites were collected to assess spatial variability. Pairwise comparisons were conducted on the ambient data from the selected sites based on city section. These weeklong samples yielded NO2 and benzene levels that were generally higher during the winter than the summer. With respect to the location within the city, the central section of Dallas was generally higher for NO2 and benzene than north and south. Land use regression (LUR) results revealed spatial gradients in NO2 and selected VOCs in the central and some northern areas. The process used to select spatially representative sites for air sampling and the results of analyses of coarse- and fine-scale spatial variability of air pollutants on a seasonal basis provide insights to guide future ambient air exposure studies in assessing intra-urban gradients and traffic impacts.”

Spatio-temporal Analysis of Mortality Among Children Under the Age of Five in Manhica (Mozambique) During the Period 1997-2005

International Journal of Health Geographics, 2011, 10:14

Georgia Escaramis, Josep L Carrasco, John J Aponte, Delino Nhalungo, Ariel Nhacolo, Pedro Alonso and Carlos Ascaso

“Background: Reducing childhood mortality is the fourth goal of the Millennium Development Goals agreed at the United Nations Millennium Summit in September 2000. However, childhood mortality in developing countries remains high. Providing an accurate picture of space and time-trend variations in child mortality in a region might generate further ideas for health planning actions to achieve such a reduction. The purpose of this study was to examine the spatio-temporal variation for child mortality rates in Manhica, a district within the Maputo province of southern rural Mozambique during the period 1997-2005 using a proper generalized linear mixed model.

“Results: The results showed that childhood mortality in all the area was modified from year to year describing a convex time-trend but the spatial pattern described by the neighbourhood-specific underlying mortality rates did not change during the entire period from 1997 to 2005, where neighbourhoods with highest risks are situated in the peripheral side of the district. The spatial distribution, though more blurred here, was similar to the spatial distribution of child malaria incidence in the same area. The peak in mortality rates observed in 2001 could have been caused by the precipitation system that started in early February 2000, following which heavy rains flooded parts of Mozambique’s southern provinces. However, the mortality rates at the end of the period returned to initial values.

“Conclusions: The results of this study suggest that the health intervention programmes established in Manhica to alleviate the effects of flooding on child mortality should cover a period of around five years and that special attention might be focused on eradicating malaria transmission. These outcomes also suggest the utility of suitably modelling space-time trend variations in a region when a point effect of an environmental factor affects all the study area.”