What's New in Vesta
Our team will continuously update this page to reflect any major updates to Vesta.
If a software update is available, users will be prompted to update Vesta when opening the program. See Installing Vesta and our Vesta license page for access details.
Vesta 2.7.0
You can now use the Machine Learning Regression method.
You can now rename variables and datasets.
Improved the report for standard regression.
Renamed Local Moran method to Local Cluster Analysis.
Changing a variable to a categorical or converting to ID is logged in the metadata now.
Time animation is updated when datasets are removed.
Vesta 2.6.1
You can now reorder the workspace tabls (just drag and drop.)
Joinpoint regression now determines the most parsimonous regression from 0, 1, 2, and 3 possible joinpoints.
Joinpoint reports now are interactive with selection from anywhere in Vesta. Some visualization icons have been updated.
Various updates to dialog text to make options more clear.
Improvements to some variants of Joinpoint regression.
AUC values are now reported in time-invariant indicator kriging contingency tables.
Vesta 2.6.0
Back-transforms for kriging of log-ratio indicators.
Joinpoint plots now use linked selection with other visualizations.
Kriging now has better support for temporally varying data.
Hisograms now keep a constant axis for time-varying data.
Vesta now handles joinpoint regressions with a small number of time intervals.
Fixed an issue with loading in some projects.
Vesta 2.5.0
Compositional joinpoint can be run, limited to centered log-ratio (beta feature).
Categorical variables can now be used in variograms (indicator isometric log-ratio transforms).
Point size can be customized in maps.
Vesta now informs you that there may be problems in some methods if you import a file where multiple objects have the same geographic location.
Vesta asks you if you'd like to save your project on closing.
Users can edit existing variograms from the Data Panel.
Vesta 2.1.0
Due to a major change to underlying variable data structures to improve program performance, all previous saved projects are invalidated. Users will need to load data files again and then save new Vesta project files.
Categorical variables can now be mapped in Vesta, and users can edit and remove existing variogram models. Categorical variables can also be used in variograms (applicable when using Logratio indicator Kriging.)
Time plots are now available in Vesta.
Vesta 2.0.0
On start-up, Vesta has a new launch screen with helpful links to assist users.
- Starting a new project
- Learning how to use Vesta
- See what's new in the current Vesta version
Vesta now has several new analysis methods:
- Multidimensional Scaling
- Regression
- Joinpoint Regression
- Variograms
- Kriging
Log transforms have been added. Users can transform a variable using either natural logarithm of base 10.
Logarithmic axes are available in many plots (Scatterplot, 3D Scatterplot, Joinpoint Plot, and Heatmaps). Users can change to logarithmic axes using the plot settings.
Vesta 1.3.0
Maps in Vesta now accommodate multiple layers. If a variable from a different dataset is added, it creates a new layer on that map and the user can move layers up or down. The legend corresponds to the top-most layer and the individual layers' colors can be changed from the map layer settings.
Vesta 1.2.0
Vesta now has the ability to handle missing data. The main visual change is in the Import Data dialog and in the way missing values are displayed in the visualizations. In the Table visualization, missing data are marked with '-'. In the Map visualization, missing data are colored in gray. Charts' descriptive statistics are also updated to reflect missing data.
Vesta 1.1.0
Map query functionality added. Users can now query unique objects on the Map visualization by using query tool in the upper left-hand corner to view object attribute data. This also applies to time-dependent data.