applications with complex sample surveys

Environmetrika supports design and analysis of complex sample surveys that monitor status, changes and trends in forest cover, deforestation, and reforestation over large geographic regions.

The Generalized Multivariate Difference Estimator (GMDe): The Recursive Algorithm (rGMDe) is a pioneering method  recently developed at Environmetrika. It rigorously combines information from diverse sources..

Environmetrika supports design and analysis of sample surveys that assess the accuracy of remotely sensed data. This includes multivariate estimates for 

• "Error matrices", which are contingency tables that compare remotely sensed classifications with more accurate reference classifications (e.g., field data). 
• Analyses of continuous variables

 Environmetrika supports design and analysis of complex sample surveys that monitor status, changes and trends in very detailed indicators of forest condition and forest health.