| About
specializes in spatial and environmental data analysis and statistics.
We provide a full range of data analysis services from data acquisition,
to statistical analysis and data visualization. Our data visualization
services include statistical graphics and custom maps for scientific papers,
presentations, poster sessions and meetings with the media, legislators
or the general public. We emphasize clarity, precision, efficiency and
elegance in our statistical graphics and cartographic products.
Company
Background
was founded in Ithaca, NY by the principal, Zev Ross. Zev Ross, has more
than 10 years experience conducting research on environmental health and
natural resources. His research has been cited by the New
York Times, Los Angeles Times,
NPR’s Living on Earth and in more than
one hundred articles in other media outlets across the country.
Partial
List of Clients and Projects
has worked on a variety of local, national and
international projects. Current and past employers and projects include:
Client: New York City Department of Health and Mental Hygiene
Provided spatial analysis and statistical services to NYC DOHMH in the design of a statistically optimized air monitoring network in support of Mayor Bloomberg’s air quality initiatives.
Client: United States Centers for Disease Control and Prevention
(CDC)
CDC contracted with ZevRoss Spatial Analysis to evaluate the relationship between
a variety of exposure metrics (e.g., particulate matter concentrations,
distances to major sources of traffic, total traffic within given distances)
and respiratory health effects among school children in Juarez, Mexico. This research was published in the American Journal of Respiratory and Critical Care Medicine in December 2007.
Client: United States Agency for International Development (USAID)
Provided advanced GIS support and training to the Armenian Ministry of Health and other government agencies as part of a USAID contract to improve reproductive health in that country.
Client: California Department of Public Health
EHIB contracted with ZevRoss Spatial Analysis on a project to develop
models to predict nitrogen dioxide concentrations in the San Diego urban
area based on landscape variables such as traffic, land use and topography.
The results of this analysis were
published in the Journal of Exposure Analysis and Environmental Epidemiology in 2006.
Client: Emory University, Rollins School of Public Health, Department
of Biostatistics
As part of a reanalysis of a 20-year-old paper on the relationship between
TEC contamination and health effects, Emory University hired ZevRoss Spatial
Analysis to improve the spatial accuracy of the hazardous waste facility
locations included in the initial paper. We used a combination of USGS
digital raster graphic quadrangles, NY Department of Transportation raster
quadrangles and orthophotos at two different resolutions to pinpoint the
locations of the hazardous waste facility locations. New locations were
considerably more accurate, with improvements in several instances of
more than 1 mile.
Client: University of Southern California, Department of Preventive
Medicine (USC)
USC contracted with ZevRoss Spatial Analysis to design and conduct an
analysis of particulate matter concentrations in New York City as part
of a follow-up to the influential 1995 American Cancer Society study linking
air pollution and mortality. The analysis involved the prediction
of particulate matter concentrations at unmonitored locations based on
a combination of known concentrations at US EPA monitoring sites, traffic
estimates at nearby locations and land use patterns.
Client: California Office of Environmental Health Hazard Assessment
(OEHHA)
OEHHA contracted with ZevRoss Spatial Analysis to design and conduct a study to
refine estimates of exposure to air pollution in Alameda County, California
as part of their East Bay Children’s Respiratory Health Study.
Client: Sprecher Institute for Comparative Cancer Research
We were hired by the Sprecher Institute on a project to measure cancer
incidence in companion animals at veterinary clinics in Long Island and
test whether a geographic database of animal cancers statewide can be
developed to identify environmental sources of human cancer. We collected,
cleaned and assembled Oracle and ASCII data from veterinary laboratories.
We wrote scripts in SQL and S computer languages to search approximately
100,000 biopsy reports for nearly 100 pathological keywords. We used the
results to calculate odds ratios for veterinary clinics and we displayed
the results spatially using maps and other graphical techniques.
Client: Cornell University, Department of Crop and Soil Sciences
We worked with Cornell University and government agencies in Bangladesh
on a project to identify hotspots of arsenic contamination of rice in
Bangladesh. We collected, cleaned and analyzed several datasets from Bangladesh
government agencies and the British Geological Survey. We used spatial
statistics (block kriging) and cluster analysis to examine patterns in
arsenic contamination and categorize risk factors. The resulting paper
was published by the International Journal
of Risk Assessment and Management in 2006.
Client: Institute for Resource Information Systems (IRIS)
We worked with IRIS on a project to evaluate development pressures on
critical vertebrate habitat in New York’s Hudson Valley. We developed
logistic models to predict new housing development and spatially linked
these results to habitat vulnerability scores to pinpoint high risk areas.
Client: Cornell University’s Department of Development
Sociology
The Department of Development Sociology hired ZevRoss Spatial Analysis
to analyze trends in farmland loss at the rural-urban interface. We used
simple linear modeling, nearest neighbor analysis and generalized estimating
equations to investigate reasons behind farmland losses in metropolitan
regions of the United States from 1949 to 1997. The resulting analysis was published as a book chapter in 2006.
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