Spatial Analysis and Data

Spatial Modeling

Kathy Alborado

Chamber Policy Committee Co-Chair

CEO, Helios HR
Chamber Policy Committee

Spatial Modeling is

The art of studying and simulating the real world

Waterborne utilizes GIS modeling to assess process distributed over the landscape. Using GIS we can model vulnerability to groundwater or surface water, determine suitability of study sites, the distribution of endangered species or assess impacts of climate on pest distributions. 

Do you have questions about our Spatial Modeling work?

Contact Waterborne's Global Spatial Modeling lead, Amy Ritter, at

Do you have questions about our Spatial Modeling work?

Contact Waterborne's Global Spatial Modeling lead, Gerco Hoogeweg, at

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Our Spatial Modeling Work

Spatial modeling is the art of studying and simulating the real world as they are represented as spatial objects to facilitate problem resolutions, planning, and mitigation. At the heart of this are geographic information systems (GIS) analytical processes, combined with spatial information to mimic a digital environment and natural processes. Our scientists and engineers can help you develop models for your specific needs. 

Spatial modeling can be applied to a wide variety of subjects. At Waterborne we focus on applying landscape (field to country) level assessments of groundwater and surface water vulnerability, runoff, and erosion potential. In these assessments we combine the best-available spatial information with overlay method to develop relative ranking of vulnerability. We have applied overlay methods such as DRASTIC, weighted overlays, and meta models to determine the vulnerability of groundwater resources across the globe. This helps guide clients with determine where potentially process may occur and additional studies in-field or computer-based may be required. 

Spatial modeling is also an indispensable tool when it comes to endangered species assessments. Using established models such as MAXENT or WALLACE we can determine the potential habitat or distribution ranges of species. The same technologies we apply to agricultural pests. With combined observation data, GIS data and climate data to determine where species may occur. We can provide insights in future distributions of pests and other species alike by including climate predictions. This in turn, provides insight in potential market and pesticide use pattern changes. 

Our expertise/services areas are:

  • Data Research, Acquisition and Analysis
  • Spatial Modeling
  • Spatial Distributed Modeling
  • Ecological Modeling