Geospatial Lab



The Geospatial Lab is located in the Natural Resources Building at Michigan State University. Most of the research conducted in the lab relies on our small, but growing, Linux cluster and several large heterogeneous machines. The lab is currently supported by NSF, NASA, USDA Forest Service, and National Park Service projects.


People

Principal Investigator

Avatar

Andrew O. Finley

Professor

Bayesian statistics, Statistical computing, Spatial statistics, Environmental process modeling

Grad Students

Avatar

Hunter Stanke

Graduate Student

Disturbance & Landscape Ecology, Spatial Analysis, Forest Management

Avatar

Jeff Doser

Graduate Student

Bayesian Modelling, Environmental Statistics, Wildlife Management

Avatar

Leo Pham

Graduate Student

Spatial Statisitcs, Land Surface Hydrology, Urban Vegetation

Alumni

Avatar

Brian Walters

Lab Alumni

Avatar

Chad Babcock

Lab Alumni

Avatar

Clara DeYoung

Lab Alumni

Avatar

Daniel Taylor

Lab Alumni

Avatar

Francesc Montane

Lab Alumni

Avatar

Gloria Desanker

Lab Alumni

Avatar

Huirong Zhu

Lab Alumni

Avatar

Jason Matney

Lab Alumni

Avatar

Malcolm Itter

Lab Alumni

Avatar

Megan Kress

Lab Alumni

Avatar

Neil Ver Planck

Lab Alumni

Avatar

Paul Delamater

Lab Alumni

Avatar

Santonu Goswami

Lab Alumni

Avatar

Virpi Junttila

Lab Alumni

Avatar

Zhen Zhang

Lab Alumni

Avatar

Yuzhen Zhou

Lab Alumni

Software

MBA

Multilevel B-spline Approximation

rFIA

An R package for estimating forest variables with the Forest Inventory and Analysis Database.

spBayes

An R package for univariate and multivariate spatial-temporal modeling.

spNNGP

An R package for implementing spatial regression models for large datasets using nearest neighbor gaussian processes

Contact