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...
BioMedware is delighted to announce the release of Vesta 2.0, a state-of-the-art geospatial analysis software funded with grants from the National Cancer Institute and the National Institute for Environmental Health Sciences. Vesta is an acronym for “Visualization and...
BioMedware is delighted to share the article recently published by our Chief Scientist and colleagues titled "Space–Time Distribution of Trichloroethylene Groundwater Concentrations: Geostatistical Modeling and Visualization". Appearing in the journal Mathematical...
In September 2023, BioMedware’s Chief Scientist, Dr. Pierre Goovaerts, received the grant “Geostatistical Software for Non-Parametric Geostatistical Modeling of Uncertainty”. Funded by the National Library of Medicine of the National Institutes of Health, this new...
Our team recently published a blog on missing data and how it can be handled in GIS applications such as Vesta. This topic resonated with several of our readers, who raised important points we would like to discuss further. The first blog observed that missing data...
