The North Carolina Museum of Natural Sciences (NCMNS) and the Smithsonian Conservation Biology Institute is aiming to creating a vast digital archive of mammalian species around the world, to serve as learning data base for children and adults alike.
NCMNS and Smithsonian seek help of volunteers to distribute motion and heat-sensitive camera traps in different areas to document and collect date of each mammals.
But huge data sets can be difficult and time-consuming to process for individual scientists charged with data cleaning and analysis. They used statistical software from JMP to prepare and process the huge volume of data that is generated by this global effort.
They determined relationships between the many habitat factors by running a principal components analysis (PCA) quickly within the software.