Name: Shaobin Li
Type: User
Company: College of the Environment and Ecology, Xiamen University
Bio: Associate Professor at Xiamen University (2021-present)
Postdoc at CEE, UIUC (2019-2021);
PhD from CEE, UNL (2014-2019)
Location: Xiamen, China
Blog: https://scholar.google.com/citations?user=4433GxcAAAAJ&hl=en
Shaobin Li's Projects
Community Data Analysis Tools
CoMOLA is a generic python tool for Constrained Multi-objective Optimization of Land use Allocation. It offers a framework to explore a landscape’s potential for ecosystem service supply and biodiversity conservation considering land use conversion and areal coverage constraints. CoMOLA can be used immediately by inputting a raster map representing the status-quo land use, ready-to-run models written in R including their input data, and (optional) information on constraints. The end product is a set of pareto-optimal solutions (land use maps) from which decision makers can discuss and select appropriate solutions according to their preferences.
A Python package to create, run, and post-process MODFLOW-based models.
GGCMI codes
GATHER compliant code for the GBD
Evaluating Occupational Health Impacts due to nonfatal injuries and illnesses in Work environment over an Entire Product Life Cycle
Python Interface for Crop Model DSSAT
Surrogate Optimization Toolbox for Python
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.
A unified toolbox for machine learning with time series
Surrogate Modeling Toolbox
Collection of working SWB version 2.0 example applications.