Turning Data Into Actionable Insights
At WEST, we combine decades of expertise in statistical analysis, predictive modeling, and geospatial analytics to deliver science-backed solutions for complex environmental challenges. Our team of statisticians, data scientists, and ecological experts provide cutting-edge analytical tools and methodologies to help clients make informed decisions, optimize environmental outcomes, and meet regulatory compliance.
We integrate machine learning, artificial intelligence, GIS, and predictive analytics to assess environmental risks, forecast trends, and develop solutions that drive sustainable resource management.
Our Expertise

Artificial Intelligence and Machine Learning Applications
WEST is at the forefront of AI and machine learning applications in environmental science, offering cutting-edge solutions for wildlife monitoring, data automation, and ecosystem analysis.
Our expertise includes:
- AI-powered environmental monitoring
- Automated wildlife detection and remote sensing
- Data-driven pattern recognition through computer vision

Data Fusion and Predictive Modeling
WEST applies advanced data fusion techniques to assess land use impacts, wildlife interactions, and environmental changes. Our models provide defensible, data-driven insights that inform regulatory strategies and conservation efforts.
Our expertise includes:
- Climate change and wildfire modeling
- Disease modeling
- Impact risk assessments
- Wildlife population modeling
- Real-time predictions
- Resource selection and habitat use modeling
- Risk forecasting
- Predictive analytics and environmental forecasting

Geographic Information Systems (GIS) and Spatial Analytics
Our GIS team integrates geospatial technology into environmental research, providing clients with detailed spatial analyses, habitat mapping, and land-use impact assessments.
Our expertise includes:
- Custom GIS applications and data visualization
- Environmental impact mapping
- Remote sensing and satellite imagery
- Spatial modeling and landscape analysis

Statistical Communication
Our team of statisticians combines deep expertise in statistical methods with practical experience working alongside wildlife biologists and resource managers. We specialize in making complex analytical techniques accessible, ensuring professionals have the tools they need to confidently apply modern statistical approaches in their work.
Our expertise includes:
- Ecological sampling and study design
- Mark and recapture methods
- Nonresponse and non-detection adjustments
- Power analysis and sample size approximation
- Regression models
- Scientific computing with R
- Wildlife data analysis
Representative Projects
MEC Bat Transect Detection
Developed a novel computer vision algorithm to count bats in thermal video data collected by drones.
Outcome:
Additional work pending
- Midwest
- 4+ Years
- Renewable Energy
Good Practice Handbook on Post-Construction Bird and Bat Fatality Monitoring for Onshore Wind Energy Facilities
Developed the handbook on practical guidance on the design and implementation of post-construction fatality monitoring methods that aligns with Good International Industry Practice and promotes global standardization in methodologies.
Outcome:
Utilized as an international standard. View the handbook here.
- International
- 4 Years
- Renewable Energy
Alaska National Wildlife Refuge Moose Movement Analysis
Spatial movement analysis for GPS collared moose within the refuge.
- Alaska
- 5 Years
- Government
Discover WEST’s library of scientific publications and reports highlighting our work in environmental research, wildlife monitoring, renewable energy, and data-driven solutions.
Partner with WEST for Data-driven Environmental Solutions
With expertise in data analytics, predictive modeling, and AI-driven environmental monitoring, WEST provides actionable insights that support responsible decision-making.
Contact us to explore how our solutions can benefit your project.