GreeenUrban Analytics provides a comprehensive suite of spatial intelligence and decision-support services, including advanced geospatial data analysis, spatial statistics, optimization modeling, and visualization, urban sustainability, and planning analytics to support urban sustainability. We also offer urban planning and sustainability analytics to support data-driven decision making across applications such as site selection, resource allocation, urban design, transportation, and public health. In addition, we develop interactive dashboards, web maps, and decision-support tools that translate complex data into intuitive, actionable insights.
We integrate data from satellite imagery, sensor networks, open data portals, and client-provided datasets to build comprehensive geospatial data ecosystems tailored to each project.
Our team specializes in transforming complex spatial, environmental, and socio-economic datasets into clear, compelling visualizations — including high-quality maps, interactive dashboards, and web-based decision tools.
We apply cutting-edge spatial statistics, machine learning, and optimization methods to deliver robust decision support and help clients uncover patterns, evaluate scenarios, and choose effective long-term strategies.
Our work spans multiple domains —from public infrastructure and environmental justice to transportation systems, public infrastructure, and community development — giving us a broad perspective on urban sustainability challenges.
We collaborate closely with government agencies, nonprofits, and private-sector partners to ensure that our analytics align with real-world constraints and produce practical, equitable, and actionable solutions. Our past collaborations include work with Pima County, the City of Tucson, the Arizona Department of Transportation (ADOT), and the Arizona Board of Regents (ABOR).
We conduct advanced spatial analytics, mapping, and data storytelling to transform complex geospatial information into actionable insight. Our services include assembling data from diverse sources, performing spatial statistics and analysis, and producing high-quality cartographic products. Whether for strategic planning or technical reporting, our work reveals meaningful spatial patterns that support informed and impactful decision-making.
We develop customized spatial optimization models and decision-support tools to address complex planning and resource allocation challenges. Our capabilities include:
Site selection and location-allocation modeling (e.g., EV charging stations, community services, facilities)
Scheduling and routing optimization (e.g., maintenance operations, emergency response)
Resource allocation and scenario-based evaluation
Multi-objective optimization to balance cost, equity, resilience, and performance
We help governments, nonprofits, and private organizations examine how urban form, land use, and environmental conditions shape sustainability outcomes. Using integrated spatial, environmental, and statistical methods, we evaluate key indicators related to renewable water resources, food access, green stormwater infrastructure performance, heat exposure patterns, and broader community resilience. Our analyses support evidence-based planning for healthier, more equitable, and more climate-adapted cities, ensuring that sustainability solutions are grounded in spatial insight and actionable data.