Vesta is a powerful tool to visualize temporal and spatial trends in a variety of formats. We have designed and built on the foundation that BioMedware created for geospatial data analysis in a way that is accessible for non-expert users with detailed support material, as well as for the seasoned geostatistician.
BioMedware develops software for the visualization, exploratory analysis and modeling of time dynamic geospatial data for the health and environmental sciences. To date, we have successfully created several innovative software products, which are used by Universities, government agencies and private industries around the globe.
More BioMedware Products
SpaceStatSoftware for the visualization, analysis, modeling and interactive exploration of spatiotemporal data.
ClusterSeerSoftware for the detection and analysis of event clusters
BoundarySeerSoftware for the detection and analysis of geographic boundaries.
BooksCompartmental Analysis in Biology and Medicine, 3rd Edition, by John A. Jacquez and Modeling with Compartments, by John A. Jacquez
Jeff Barrell, PhD Student
“I’m using SpaceStat to analyze the spatial structure of estuarine seagrass beds in Atlantic Canada for purposes of conservation and management and I’ve been able to do the type of analysis that I was after. The variogram modeling capability and LISA functions have especially been very useful.”
Trang VoPham, PhD, MS
Department of Epidemiology • Harvard T.H. Chan School of Public Health
“My research group at Harvard T.H. Chan School of Public Health has been using SpaceStat and its wide array of geostatistical tools for environmental exposure modeling. We are currently interested in spatial downscaling, which is possible using SpaceStat’s user-friendly interface. We are applying methods not available in other software suites.”
Uriel Kitron, PhD
“We use ClusterSeer in our teaching and our site license allows our department to install the software in our labs and on student, staff, and faculty computers at a very affordable price.”
Joseph P. Messina, PhD
Michigan State University
“Clusterseer is an easy-to-use, well-documented, clustering software package that saves an extraordinary amount of time compared to custom programming. I use it regularly for my own work and most of my graduate students do as well.”
Russell Weaver, Ph.D.
Department of Geography
Texas State University
“BoundarySeer makes detecting rapid changes in spatially-based attributes quick and easy. I use it regularly to support my research on neighborhood change, and I have recommended it to several graduate students and colleagues.”
“I use SpaceStat on a daily basis for my research and my teaching. For my research in precision agriculture, its swift and intuitive interactive geostatistical mapping capabilities are far superior to the most commonly used software on the market.”