Plotting probability curves to aid in interpretation of predictor variables in a logistic model
R, logistic regression, GLM, ggplot2
Lab news and information on geospatial, ecological,
and statistical related research*
R, logistic regression, GLM, ggplot2
academia, Kent State University, geography, remote sensing
focal analysis, moving windows, spatial ecology, R, open source, raster
ecosystem disturbance, forest conversion, usiale2019, science communication
ecosystem disturbance, forest conversion, AAG2019, science communication
cloud computing, Google Earth Engine, open science, JavaScript, deciduous forest
machine learning, multiple cores, open source, parallel processing, R statistics, remote sensing, science communication, spatial statistics, species distribution modeling
forest disturbance, burn severity, tree regeneration, Araucaria-Nothofagus, science communication
Andes Mountains, Normalized Burn Ratio, tree regeneration, Araucaria-Nothofagus, Landsat
drought, sagebrush, SPEI, DataViz
*This is not a a true, linear open lab notebook, but it is in the spirit of open science and information sharing.
It is one of our my primary forms of science outreach and communication. We believe scientists have a strong
responsibility to conduct outreach and share information with colleagues, policy makers and taxpayers for the
greater good of our society. This page includes information from Tim Assal before he established the Biogoegraphy & Landscape Dynamics Lab at KSU.
Top image: the Sagebrush Sea at the foot of the Wind River Mountains, Wyoming