About Us
Testimonials
Jeff Barrell, PhD Student
Dalhousie University
“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
Emory University
“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.”
Ruth Kerry
“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.”