We will introduce Nonparametric Multiplicative Regression (NPMR). We will use example data sets that examine current change detection for species distributions. Species’ distributions are changing in response to climate, and although modeled projections of future species' distributions are numerous, efforts to quantify and map actual changes have not kept pace. Accurate and reliable reporting of such changes is fundamental to inform adaptation and mitigation policies to deal with climate change. The first half of the workshop will cover NPMR using a trial version of the software along with example data sets. NPMR is a kernel regression technique that automatically captures interacting factors and has built-in cross-validation. Instruction will cover basics ranging from hand computations used for the algorithm to implementation of change detection using the software and GIS grids. The workshop should attract people interested in or experienced with species-habitat modeling. The workshop should also appeal to anyone dealing with statistical relationships showing nonlinearity and interacting factors. Finally, participants are expected to bring a lap-top as instruction will be hands-on. Although example data sets will be provided, students are invited to bring their own.