applications with complex sample surveys

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 complex sampling designs that use multiple sources of high-resolution remotely sensed and field data

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 study areas are very large, but the detail of thematic variables is very limited. 

 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.