The Complete Guide to Spatial Analysis: From Patterns to Processes
I can see the pattern — but what does it mean? You’ve spent hours assembling your data. You geocoded the records, loaded the basemap, and produced a choropleth. The cluster is apparent — but you don’t know whether it is real or random, growing or fading, or what is...
What Is Geospatial Mapping? How Does It Work?
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...
How To Overcome The Geospatial Data Crisis
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...
Why Does Most Geospatial AI Fall Short? How Vesta’s AI Advisor Gets It Right
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...
How Spatial Autocorrelation Works: The Four Laws of Spatial Pattern
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....
What is Kriging? The Workhorse of Geostatistics
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
“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
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)
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)
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...