A rich supply of data and innovative algorithms have made data-driven modeling a popular
technique in modern industry. Among various data-driven methods, latent variable models …

Ecological communities are constantly responding to environmental change. Theory and
evidence suggest that the loss or decline of stress-intolerant species can be compensated …

Some of the longest and most comprehensive marine ecosystem monitoring programs were
established in the Gulf of Alaska following the environmental disaster of the Exxon Valdez oil …

Success in the use of computer models for simulating environmental variables and
processes requires objective model calibration and verification procedures. Several …

The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs
and data sets; new chapters on importing data issues related to data editing and on how to …

The COVID-19 pandemic is manifesting its devastating effects in multiple directions, even
indirectly affecting the health of citizens, for instance, by increasing the level of energy …

Decreasing body size has been proposed as a universal response to increasing
temperatures. The physiology behind the response is well established for ectotherms …

MARSS is a package for fitting multivariate autoregressive state-space models to time-series
data. The MARSS package implements state-space models in a maximum likelihood …

With high-throughput sequencing (HTS), we are able to explore the hidden world of
microscopic organisms to an unpre-cedented level. The fast development of molecular …

The need to understand and quantify change is fundamental throughout the environmental
sciences. This might involve describing past variation, understanding the mechanisms …