Services

Spatial Analysis & Data Systems

Geographic information systems (GIS) allow CSI to compile, manage, and analyze complex data to apply the “where” to our client’s projects. By incorporating spatial science in our work, we can integrate many types of data including land use, land cover, hydrography, infrastructure, topography, elevation, and climate attributes to inform interactions at various scales and guide regulatory decisions. We leverage spatial data attributes to quantify geospatial relationships and organize layers of information into 2D and 3D illustrations for fluid integration into work products to facilitate communication and understanding. ​CSI uses GIS analytics and presentation tools to identify data patterns and relationships that help our clients make better decisions.

Mapping & Visualization

Visualization: CSI specializes in delivering work products that are specifically developed to meet our client’s needs. We produce visualization tools with emphasis on functionality, usability, and presentation-level quality.

Hosting: We host our products on ArcGIS Online for convenient sharing and collaboration. We use this platform to create immersive story maps that combine text, interactive maps, and other multimedia content that can be easily shared publicly or fully protected for confidential and/or proprietary information.

Spatial Analysis

Hydrographic Modeling: CSI employs Digital Elevation Models (DEMs) and related datasets to generate custom stream network layers. This is necessary when publicly available streams layers are insufficiently accurate or too coarse for project decision-making at local scales.

Overlay Analysis: We identify and quantify overlap among different types of data to target potential conservation areas, or otherwise characterize important spatial relationships among wildlife, industrial sites, agricultural land, and boundary layers (among other datasets). We help clients and regulatory agencies characterize the extent of potential offsite chemical transport using existing models and data that are reflective of real-world conditions. We model aerial drift, field runoff, and down-the-drain exposure to produce chemical- and landscape-specific “action areas” that are useful for regulatory and health, climate, and conservation efforts.

Change Detection Analysis: CSI performs change detection analysis to characterize and contextualize updates to existing datasets. This enables us to identify areas of significant change and uncertainty. It also provides valuable information about the utility of older versions of a given dataset.

Land Cover Analysis: We incorporate high-value publicly available land use and land cover datasets, such as the Cropland Data Layer (CDL) and National Land Cover Database (NLCD), into much of our geospatial work. We use GIS tools, metadata, and other datasets to refine these layers at national, regional, and local scales to produce more reliable datasets that can better inform industry or conservation projects.

Statistical Analysis & Data Management

Applied Economic and Econometric Analysis: We use GIS software and econometric principles to evaluate the anticipated benefits and costs associated with changes to agricultural production. Our applied economic analysis has been used to predict changes to commodity yield and prices, based on various policy-based scenarios. For more information about our services related to applied economics, click here.

Programing & Statistical Analysis: Our staff is experienced with various scripting languages to facilitate statistical analysis and processing efficiencies, including Python, SQL, R, and SAS. 

Geodatabase Administration and Infrastructure: CSI organizes and manages our results within the ESRI geodatabase environment. Geodatabases offer a fully contained comprehensive data model for representing and managing geographic information that can be easily shared, referenced, and archived. We supplement and embed our spatial data products with important documentation and metadata-information about the data. This enables our clients to see how we arrive at our conclusions and validate the underlying methods and data.

As a member of Esri’s Partner Network we are able to leverage our relationship with the technical leader in mapping and spatial analytics to infuse our products with location intelligence.

Spatial Analysis & Data Systems

Spatial Analysis & Data Systems Experts

Chad Jones Picture

Chad Jones

GIS Analyst

Washington State

David Campana's Picture

David Campana

Senior Consultant

Washington State

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Chad Jones
GIS Analyst

Expertise: Geospatial Analysis

Chad specializes in the geospatial aspects of endangered species and agriculture.

Chad is an expert in ESRI ArcGIS software, database management, and python coding. His projects explore spatial scenarios utilizing imagery, raster, and vector data sets to extract, analyze and synthesize quantitative information supporting ecological risk assessments. He is the data steward for the FESTF Gopher information system, responsible for curating, maintaining, and troubleshooting a cloud hosted web-based data tool.

EDUCATION
BS, Environmental & Ecosystem Sciences, Minor in Spatial Analysis, Washington State University.
BS, Business Administration (Finance), University of Louisville.

David Campana
Senior Consultant

Expertise: Geospatial & Economic Analysis

David’s project background includes endangered species range mapping, environmental cost-benefit analysis, agricultural market access development, chemical fate modeling, statistical analysis, efficacy study review, database management, and project development.

EDUCATION
BSc, Atmospheric and Oceanic Sciences, McGill University. 
MS, Natural Resources and Environmental Management, University of Hawaii.