BioMedware Blog Space
What is Kriging? The Workhorse of Geostatistics
by Pierre Goovaerts, Ph.D. | Dec 17, 2025 | Geospatial Data & Analysis
In the world of spatial analysis, where data points are scattered across a landscape, a fundamental question arises: how can we estimate the value at a location we haven't sampled? For most geoscientists, the answer is kriging. Far more than a simple interpolation...
Why Space-Time Analysis Matters: Visualizing and Understanding Real-World Processes with Vesta
by Geoffrey Jacquez, Ph.D. | Dec 10, 2025 | Geospatial Data & Analysis, Learn with BioMedware
“From now on, space by itself and time by itself are doomed to fade away into mere shadows, and only a kind of union of the two will preserve an independent reality.” — Hermann Minkowski, 1908 More than a century after Minkowski made this observation, his insight...
Compositional Data Analysis in Geostatistics: Navigating the Closed-Space Conundrum
by Pierre Goovaerts, Ph.D. | Dec 2, 2025 | Geospatial Data & Analysis
A significant portion of the data analyzed geostatistically doesn’t consist of simple numerical values like temperature or elevation. Instead, we often deal with compositional data—parts of a whole that are constrained to sum to a constant. Think of a rock sample's...
Utilizing Time Plots in Vesta (Including Video Demo)
by Geoffrey Jacquez, Ph.D. | Nov 24, 2025 | Geospatial Data & Analysis, Learn with BioMedware
Temporal trends are central in many fields—from epidemiology, economics, policy to environmental science. Being able to track how a variable changes over time, and link that change back to space or other covariates, is powerful. In BioMedware’s Vesta software, time...
Why Your GIS Tools Are Missing Critical Trend Shifts (And What to Do About It)
by Ioana Nadra | Nov 18, 2025 | GIS Technology, Learn with BioMedware
When analyzing datasets that evolve across time and geography—disease outbreaks, environmental changes, demographic shifts—most researchers face a fundamental limitation: their tools force them to choose between temporal analysis or spatial analysis, but not both...
What Is Geospatial Analysis?
by Geoffrey Jacquez, Ph.D. | Nov 12, 2025 | Geospatial Data & Analysis
In an era of rapidly expanding data and ever-shifting landscapes—both physical and digital—the ability to make sense of where things occur, when they occur, and why they occur has become ever more critical. That’s the realm of geospatial analysis: a set of tools,...
Exclusive Webinar: Modeling Change Over Space and Time with Vesta
by Ioana Nadra | Oct 1, 2025 | BioMedware News, Geospatial Data & Analysis
When analyzing data that changes across both time and geography, most researchers face a critical challenge: identifying exactly when and where significant trend shifts occur. Traditional GIS tools force you to choose between temporal analysis or spatial analysis—but...
Introducing Vesta 2.8: Powerful New Tools for Spatial & Temporal Analysis
by Geoffrey Jacquez, Ph.D. | Sep 18, 2025 | BioMedware News, GIS Technology
We’re excited to announce the release of Vesta 2.8, the latest update to BioMedware’s premier software for spatial and temporal data analysis. Building on the major innovations we introduced in version 2.7, this update brings new features, refinements, and important...
Geospatial Analysis in the Hunt for Blue Zones
by Geoffrey Jacquez, Ph.D. | Aug 13, 2025 | Geospatial Data & Analysis
What Are Blue Zones? Imagine living in a place where people routinely celebrate their 90th or even 100th birthday while remaining active and vibrant. These exceptional regions, where longevity isn't an anomaly but a community norm, are known as Blue Zones. First...
BioMedware Awarded Grant Renewal From The National Library of Medicine
by Geoffrey Jacquez, Ph.D. | Aug 7, 2025 | BioMedware News
We’re excited to announce that Principal Investigator Pierre Goovaerts and BioMedware have been awarded a year three renewal of the grant titled “Geostatistical Software for Non-Parametric Geostatistical Modeling of Uncertainty” from the National Library of Medicine. ...










