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 NPS projects.


People

Principal Investigator

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Andrew O. Finley

Professor

Environmental statistics, Bayesian statistics, Statistical computing, Spatial statistics

Grad Students

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Elliot Shannon

Graduate Student

Spatio-temporal statistics, Gaussian processes, Bayesian statistics

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Grayson White

Graduate Student

Data science education, Small area estimation, Gaussian processes, Bayesian statistics

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Hunter Stanke

Graduate Student

Disturbance & Landscape Ecology, Spatial Analysis, Forest Management

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Romain Boutelet

Graduate Student

Spatio-temporal processes, Geostatistics, Statistical Computing

Alumni

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Brian Walters

Lab Alumni

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Chad Babcock

Lab Alumni

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Clara DeYoung

Lab Alumni

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Daniel Taylor

Lab Alumni

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Francesc Montane

Lab Alumni

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Gloria Desanker

Lab Alumni

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Huirong Zhu

Lab Alumni

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Jason Matney

Lab Alumni

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Jeff Doser

Lab Alumni

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Leo Pham

Lab Alumni

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Malcolm Itter

Lab Alumni

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Megan Kress

Lab Alumni

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Neil Ver Planck

Lab Alumni

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Paul Delamater

Lab Alumni

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Santonu Goswami

Lab Alumni

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Virpi Junttila

Lab Alumni

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Zhen Zhang

Lab Alumni

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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.

spAbundance

Univariate and Multivariate Spatial Modeling of Species Abundance

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

spOccupancy

Single-Species, Multi-Species, and Integrated Spatial Occupancy Models

Contact