What is Vesta?
Vesta is a powerful tool to visualize temporal and spatial trends in various formats. Vesta is an evolution of our software, SpaceStat. Vesta has a new, user-friendly design that makes for smooth data importing, exploring spatial patterns, and making predictions and time forecasting.
We have expanded the foundation BioMedware created for geospatial data analysis in a way that is familiar to the seasoned geostatistician yet accessible for non-expert users with detailed support material.
What does Vesta do?
Vesta comes complete with 12 base layers including global satellite imagery, topography, street maps and more. Visualization methods include linked windows, statistical and cartographic brushing and multiple map layers. Statistical graphics are time-based boxplots, scatterplots, histograms, and others. Modeling techniques are suited to space-time data, and include linear regression, joinpoint regression, and several flavors of geostatistics such as variograms, kriging, co-kriging and uncertainty estimation.
How can we use Vesta?
Vesta allows users to make statistical inferences about data patterns that can inform policy and health decisions. The Vesta software can be used for infrastructure, cancer registries, urban planning, agricultural optimization, or to analyze the exposome.
Click through the slides to learn more.
Accessing all Vesta features does not require a coding background. Several Vesta features include:
Virtual Map Creation
The maps created in Vesta overlay data over the map tile’s background, similar to viewing a route on a virtual map
Highlight the same observations on multiple graphs (i.e., maps, histograms, scatterplots) by linking and brushing
Support Data Sources
Support data sources with different geographic projections such as Esri Shapefiles and Excel files
Work with multiple layers to specify the display order of the map
Visualize time-dependent behavior of graphs and summary statistics by simply moving a time slider bar.
Handle missing data in visualizations and calculations during data import
Conduct exploratory analysis through the visualization of data in table, map, histogram, scatterplot, heatmap, time plot, and boxplot.
Export Your Projects
Export visualizations and tables as image files, and save project files
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