Product

One workspace for every spatial question.

Import data, run geostatistics, regression and cluster analysis, and explore the results in linked maps and charts that animate through time. The AI Advisor sits beside you the whole way.

Start free trial See pricing

The product tour: one Vesta Online project, from a plain-English question to a shared analysis, in about two minutes.

AI Analysis Advisor

Describe the question. The Advisor handles the setup.

Ask in plain language, in any language. The Advisor finds datasets that match your question, imports them, recommends a method suited to your data and goal, and runs it, explaining each step and its caveats as it goes.

Natural-language chat in any languageClaude on Amazon BedrockDataset discoverySmart data importMethod recommendationStep-by-step guidanceRuns methods and builds visualizationsDOCX / PDF conversation export

Learn more about AI Analysis Advisor →

The Advisor proposes the CDC PLACES diabetes import · U.S. counties, 2020–2024

The Advisor panel on a dark background: its reply plans an import of CDC PLACES diabetes prevalence for U.S. counties across the 2020 to 2024 releases and a separate Census poverty import, with the import card and its outcome showing 3,109 records and a note that earlier releases were carried onto 2024 counties.

Spatial Interpolation

From scattered samples to a continuous surface.

Fit a variogram automatically, krige, and cross-validate in a few steps. Vesta selects the right forward and back-transforms for logratios and indicators and applies them for you.

Standard krigingIndicator krigingCompositional (logratio) krigingSpatio-temporal krigingCo-kriging (LMC)Variogram auto-fitCross-validationST-variogram surface

Learn more about Spatial Interpolation →

Kriged soil organic carbon · one Ontario field

A kriged map of soil organic carbon across one field, from pale yellow to dark red-pink, with the legend collapsed to a bar at the lower left.

Regression & Machine Learning

Explain the pattern, not just the map.

Classical regression, geographically weighted regression that lets relationships vary by place, joinpoint models for trend changes, and gradient-boosted machine learning when prediction matters more than coefficients.

OLS regressionLogistic regressionGeographically weighted regressionJoinpoint regressionTrend tests & trend mapsSeasonalityChange-point detectionTrend comparisonCross-correlationTemporal scanFastTreeLightGBM regression & classificationPrincipal component analysisMultidimensional scaling

Learn more about Regression & Machine Learning →

Local GWR slope · diabetes per point of poverty, U.S. counties

A map of U.S. counties shaded by the local geographically weighted regression slope of diabetes on poverty, with the steepest slopes in red across parts of the Southeast and the Southwest.

Cluster & Hotspot Detection

Is it a cluster, or just noise?

Local Moran's I, spatial and space-time scan statistics, Q-statistics for case-control data, and space-time interaction tests identify significant hot spots, cold spots and outliers, with Monte Carlo significance testing and maps ready to share.

Local Moran's I (LISA)Spatial scan (Poisson, Bernoulli, multinomial)Space-time scanQ-statisticsKnox testJacquez k-NN testDirection testMonte Carlo p-values

Learn more about Cluster & Hotspot Detection →

Local Moran's I clusters · diabetes among U.S. adults, by county

A map of U.S. counties colored by Local Moran's I cluster class, with high-high clusters across the South and low-low clusters in the Mountain West and Northeast.

Space-Time Visualization

See change as it happens.

Animate any variable across time, and select anything, anywhere: a selection on the map highlights the same places in every chart and table. Grid, Focus and Compare layouts keep several views in front of you.

2D map & heatmapTime plotScatterplot & 3D scatterHistogram & box plotCorrelation matrixTrend line & forecastAnimationLinking & brushing

Learn more about Space-Time Visualization →

Overdose death rate per 100,000 by county · Ohio, 2021

A map of Ohio counties shaded by overdose death rate per 100,000 for 2021, from pale yellow to dark red, highest across the south, with a year chip in the corner.

Data Library

25+ public data sources, a click away.

Pick a source, choose the measures, the places and the years. Vesta fetches the data and joins it to boundaries, ready to map, with no downloading, cleaning or merging.

CDC PLACES · BRFSS · CDI · YRBSSCDC Drug Poisoning MortalityCDC EPH TrackingUS Census ACS · Decennial · PEP · IDBWorld Bank · WorldPop · HDX HAPIWAHIS · EMPRES-iFAOSTAT · GLW · GLPSMODIS LST & NDVIWorldClim · OpenTopography · GRIPGeographic boundaries

Learn more about Data Library →

Add Data · Data Library categories: US Public Health, US Demographics

The Add Data dialog's Data Library list, top rows: US Public Health (CDC datasets) and US Demographics (Census Bureau programs), each with a short description of its sources.

Export anywhereCSV, Excel workbooks, GeoTIFF surfaces, JPEG charts, Markdown or HTML analysis summaries, DOCX reports, and the Advisor conversation as DOCX or PDF.

Share a project, not a folderEvery project lives in the cloud with 5 GB of storage per account. Each change is saved as a version you can restore, and you share by email, read-only, with Can view or Can duplicate access. When a share link is issued, anyone possessing that link can open the shared project without signing in. Links can be revoked by the owner and currently do not expire automatically.

Already use Vesta Desktop?See what changes online, what stays the same, and how to move your projects.Online vs Desktop →