In her letter dated May 29, 2024, U.S. Representative Debbie Dingell congratulates BioMedware Chief Scientist Dr. Pierre Goovaerts for receiving a grant from the National Institute of Environmental Health Sciences. The grant titled “Software for Geostatistical...
Dr. Pierre Goovaerts, Principal Investigator, and BioMedware have been awarded a new SBIR Phase I grant titled “Software for Geostatistical Smoothing and Joinpoint Regression Modeling of Time Series of Compositional Variables in Epidemiology.” This grant will...
When working with spatial data, we often encounter situations where observations on a variable are absent for some of the locations on the map. Geostatistians talk of “sampled” locations—places where observations on a variable of interest are measured—and “not...
In “Sand County Almanac” Aldo Leopold recounts a story of restoration of an aged Wisconsin farm, played out and abandoned, the land worn, furrowed, and unproductive. Over the years, Aldo was able to restore the soil, the landscape and the habitat, turning back the...
Have you ever wondered how scientists map things like soil quality, air pollution, or even the spread of disease? These maps often rely on data collected at specific locations, but what about the areas in between? This is where geostatistics comes in. Geostatistics is...
The world is ever-changing, dynamic, and beautiful. For a long time, GIS did not capture this space-time dynamism, and instead was based on a static world-view. But times have changed, and our ability to capture space-time dynamics and to analyze and model dynamic...
It sure was hot last year, wasn’t it? Indeed, it was the hottest year globally since temperature records started being recorded. Notice the light grey lines in the figure below. These are annual heat signatures for preceding decades. We’re clearly experiencing...
Using Geographic Information Systems (GIS) in public health is becoming increasingly important as we seek to better understand and address the complex challenges facing our communities. In 2024, we can expect to see even more innovative applications of GIS in the...
Some of us remember the term “large data,” which was a big deal in the 1980s. Desktop computing was just beginning, and statistical models were the leading tool in data analysis. These models leveraged matrix algebra techniques, and methods such as matrix inversion...
A major problem in the geospatial analysis of health events is identifying “true” excesses in health outcomes and disease risk. Most cancers, for example, occur at a “background” rate, often due to the underlying DNA mutation rate. This background mutation rate is...
