Picture this: it's 2019, and veterinary epidemiologists in Vietnam are watching African swine fever spread commune by commune across the country. Within months, the virus reaches more than half the country's provinces and devastates over five million pigs. The...
The Problem Nobody Talks About Spatial analysis is one of the most powerful tools available to practitioners in public health, epidemiology, environmental science, ecology, and beyond. The ability to reveal geographic patterns in disease incidence, identify...
LLMs are flooding into GIS platforms. But authoritative geospatial intelligence requires more than a chatbot bolted onto a map. Here's what the gap looks like — and how Vesta fills it. The AI gold rush in GIS: a lot of noise, not enough signal Artificial intelligence...
Here's a problem that trips up even experienced analysts: you build a model using geographic data, the statistics look solid, and then your predictions fall apart in the real world. Often, the culprit is something hiding in plain sight: spatial autocorrelation....
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...
“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...
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...
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...
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,...
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...
