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Geospatial Analytics

Machine Learning & Data Science

Advanced geospatial analytics driven by machine learning and other AI techniques requires a vision to achieve. Your vision isn’t cookie cutter, so your AI application shouldn’t be either. With Lynker Intel’s guidance, you can integrate advanced analytics and data science into your strategy – and understand the strengths and weaknesses of various methods based on your goals. Lynker Intel brings open-source solutions to our clients with well-researched and well-documented approaches to develop customized analytical solutions to problems like flood forecasting, natural hazards and risk assessment, and wetland delineation.

Lynker Intel’s smart maps pinpoint areas of potential risk, reveal deeper insights on how to manage risk, and provide a common view that streamlines communication during all phases of risk assessment and management. We can help you prioritize where to allocate resources with data-driven risk assessment and by using our predictive analytics to reveal patterns and trends. Lynker scientists use spatial analysis, data science, and location as the connective thread to uncover hidden patterns and trends for enhanced risk assessment. Our competitive edge comes from our ability to integrate location into Lynker Analytics machine learning models applied to big data and Internet of Things (IoT) technology to make quick, informed decisions based on the most up-to-date information.

Lynker Intel develops actionable spatial intelligence for decision makers – uncertainties are clearly communicated and valued, and we develop the customized tools needed to support decision-making under uncertainty. The use of platforms and online tools can provide accessible, credible and transparent information on past and future climate behavior. Lynker Intel can work with clients to ensure that our actionable intelligence is complemented with the development of the technical and institutional capacity to manage climate-related and other risks.

Lynker Intel tools for mainstreaming adaptation in critical policy areas and encouraging investments in resilient infrastructure include:

Spatial representations of natural hazards and risk, including multi-hazard and risk assessment GIS;
Spatial planning frameworks to better inform maximum probable loss (MPL) models to compute insurance premiums and to redirect development away from high-risk areas;
infrastructure project and policy appraisals, including Strategic Environmental Assessment and Environmental Impact Assessment; and
regulatory and economic standards (such as building codes).

Relevant Case Study

Future Avoided Cost Explorer: Hazards

National Water Model—Forecasting Capabilities

More Capabilities

Natural Hazards and Risk Assessment

Lynker Intel is a global provider of risk and safety solutions related to natural hazards, with a broad range of services across. Our scientists, engineers, and economists have decades of experience performing risk and damage assessments for the insurance market and planning communities at town, city, and national scales.

Ocean Storm Waves Crashing into Seawall in front of Houses

Hydrologic Modeling and Forecasting

Lynker Intel has expert hydrologists with strong expertise in field work, data analysis, research, modeling, forecasting, and developing actionable data products across all water environments. We work with a holistic approach to solve water-related issues by considering the combined effect of weather, climate, water and human management.

Planning and Designing for Resilient and Green Infrastructure

Infrastructure and its networks will be affected by the physical impacts of climate variability and change but will also play an essential role in building resilience to those impacts. Lynker Intel can help you prioritize, plan, and design new or retrofit old infrastructure in a more thoughtful environmentally aligned (green) manner that can account for the climate and other changes that may occur over its lifetime.

View of River amidst mountains against sky

Environmental Modeling

Lynker Intel has deep experience working with multi-disciplinary and stakeholder teams to develop ecological restoration solutions for fluvial, coastal, and wetland environments. We work with clients to restore damaged habitats that provide important ecological functions and contribute to improved ecosystem health benefiting humans and wildlife alike.

Climate Change and Population Growth

With decades of deep experience in natural hazards analyses and risk assessment, Lynker Intel partners with private and public organizations to operationalize climate change impact analytics, projections of population growth and subsequent increases in vulnerable assets, as well as other changes influencing hazard and risk exposure, in order to make better business and adaptation decisions for the future impacts of hazards. Decisions that must be made now.