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Human-Environment Modeling and Analysis Lab

Forestry and Natural Resources > Human-Environment Modeling and Analysis Lab
 

 Human-Environment Modeling and Analysis Lab

 

The FNR Human-Environment Modeling and Analysis (HEMA) Laboratory located in Forestry 204-206 is devoted to the study of the causes and consequences of land use/cover change. Grounded in the theoretical framework of complex socio-ecological systems, research in the HEMA lab employs advanced technologies and methodologies from a wide array of disciplines. Research focuses on the development of spatially explicit models that can be used to forecast and backcast land use/cover change in many regions of the world. Another interest of the lab is the development of acoustic sensors and sensor networks that can be used to understand the impacts that humans have on animal behavior and species richness.

HEMA lab photo HEMA lab photo

The HEMA lab is composed of (a) two large computational labs, (b) a high tech conference room and (c) a computer room with a High Performance Compute Cluster (HPCC). The computational lab houses student workspaces each containing a high-end workstation with dual flat panel monitors. The HPCC is composed of nine low (2GB) computational nodes and one high (8GB RAM) node. Two Dell PowerVault 221S SCSI raid disk storage systems (with 5.2 TB of storage) serves as the centralize storage facility for the lab. A Dell PowerVault Autoloader Tape Backup Library (LTO-2) that stores and retrieves up to twenty-four 432 GB tapes (for a total of 9.1 TB) is used for long-term backup. The ten dual Xeon (3.8 GHz) rack mounted workstations are used to support modeling and analysis and twenty-four 1 Gb/s CAT6 network lines provide high speed data transfer. A VPN server and Linux firewall secure the laboratory. The conference room has a PolyVision electronic white board, a conference table for meetings accommodating up to eight people. Also available is a Polycom VSX 5000 videoconferencing unit and a 30in Dell LCD panel. Software in the lab includes: ArcGIS 9.2 and all ESRI extensions including Spatial Analyst and Statistical Analyst, Erdas IMAGINE 8.X, ENVI and IDL, IDRISI (Andes Version), SAS 9.1, SPSS 14.0, MathCAD, Netica (Bayesian Software), Oracle, 3DMiner, S-Plus, R, Microsoft Visual Studio Professional and SNSS.

Acoustic equipment includes Larson Davis 824 microphones, custom portable data loggers capable of remote, wireless communication that are connected to a variety of environmental sensors (e.g., air and soil temperature, wind speed, wind direction, precipitation).

Research Faculty/Projects

Lab Manager
Bryan C. Pijanowski
203 Forestry Building
Department of Forestry and Natural Resources
Purdue University
West Lafayette, Indiana 47907
Telephone: (765) 496-2215
Email: bpijanow@purdue.edu