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Driving Informed Decision-Making with Spatial Analytics & Visualization!

Welcome to the Spatial Analytics and Visualization Institute (SAVI) page, an official mini´«Ã½ Campus Institute in the California State University system. We are the only CSU Institute in Northern California to implement advanced GISci techniques for inclusive development, environmental health, and civic infrastructure research and education! SAVI uses the power of geography and Geographic Information Science to provide impactful research and professional services that optimize resource distribution, enhance social mobility, and uphold democratic values to serve the Silicon Valley and Bay Area communities.

News

ATPD

Just out: SAVI’s latest research uses spatial data to drive inclusive development and expand community access.

SAVI’s research introduces a data-driven framework to evaluate Affordable Transit-Oriented Development (A-TOD) across California. Using advanced spatial analytics, the study scores regions based on transit quality, housing affordability, and community accessibility. This tool helps policymakers align infrastructure investments with inclusive growth to enhance regional mobility and economic opportunity.

Sacramento

New SAVI Report Examines Equity in Transit and Walk Accessibility to Healthcare Facilities

The SAVI Center at San José State University has released a new report evaluating equity in transit and walk accessibility to healthcare facilities in Sacramento. Using geospatial analysis and pedestrian audits, the study identifies disparities in healthcare access and offers data-driven recommendations to support equitable, healthy, and sustainable transportation planning.

SAVI GIS Day banner

SAVI Director Publishes Key Policy Analysis on Reducing Transportation Emissions

SAVI Director's latest study reveals that local activist-driven policies, like parking reform and public education, can cut vehicle trips and boost non-auto commuting by 20%, even without strict regional mandates. However, regional planning remains crucial for equity. The findings emphasize a balanced approach to tackling transportation emissions.

15 min Neighborhood

SAVI's mapping support for SPUR on San Jose's The 15-minute Neighborhood

How can cities effectively plan for walkable, livable neighborhoods? SAVI's support for advocacy organizations targeting major local policies includes this series of choropleth maps illustrating which parts of San José are best and worst served in terms of proximity to essential services such as food, recreation, education, healthcare, and others.

HTZ

Where High-Tech Clusters: A Nationwide Map of Innovation Zones

Despite high-tech industries driving over 10% of U.S. employment and nearly 20% of GDP, little was known about exactly where these clusters exist at the neighborhood level or how they differ by industry type. This study used firm-level data and spatial analysis to identify 627 high-tech zones across 52 large U.S. metro areas, classifying each by sector — from professional services and biotech to aerospace and IT manufacturing. The findings reveal that most clusters are multi-sector and heavily driven by professional services, that they concentrate the majority of regional high-tech jobs while housing only a small share of the population, and that their location and type have major implications for housing affordability, equity, and smart growth planning.

Alignment pictures

Check out SAVI's Policy Tool: Climate Policy Alignment Explorer 

California's Senate Bill 375 requires regional transportation plans to cut greenhouse gas emissions — but how well do local city plans actually align with those regional goals? This interactive map scores 25 California cities on how closely their Climate Action Plans match regional strategies across transportation, land use, travel demand management, and other categories. Use it to identify where local and regional climate action are working together — and where gaps remain.

SAVI Workshops: Build Skills for the Spatial Age
SAVI Workshops: Build Skills for the Spatial Age

SAVI Workshops: Build Skills for the Spatial Age

The SAVI Center at San José State University offers hands-on workshops that connect data science, geospatial analysis, urban analytics, and public policy through applied and collaborative learning experiences. Led by expert instructors from academia, government, and industry, SAVI workshops provide practical training in tools and methods such as Python, R, QGIS, ArcGIS Pro, web mapping, drone mapping, spatial visualization, machine learning, and AI applications for urban and environmental analysis. Past workshop series have explored topics including voter turnout analysis, ballot accessibility, environmental justice, transportation and mobility analytics, smart cities, GIS for planning and public health, and time series forecasting. Sessions range from short skill-building workshops and half-day intensives to multi-day bootcamps and are offered in in-person, online, and hybrid formats to support flexible participation. Open to students, planners, researchers, professionals, and community members, SAVI workshops foster interdisciplinary collaboration and real-world technical skill development. Many workshops are free for mini´«Ã½ students, and participants may earn AICP credits, digital completion badges, and Continuing Education Units (CEUs).

Learn More

Featured Project

Image showing internet access map of California

The Bike Infrastructure Gap Mapper is built using 40+ spatial and demographic indicators—validated through literature review, expert Delphi panel, and spatial analysis—to guide equitable bike infrastructure planning in the Bay Area. Click here and explore this informative tool!

Past Events

A picture showing drone and its remote controller placed on the ground
The DJI Phantom 4 Pro

Coastal ecosystems and eelgrass habitats provide important services to the marine environment, including primary production, carbon storage, nutrient cycling, habitat for fisheries species, and erosion control. UASs with high spatial resolution, temporal flexibility, and cost-effectiveness for repeat photogrammetry, afford a significant advancement in other remote sensing approaches for coastal mapping, habitat monitoring, and environmental management. They provide essentially on-demand remote sensing at low cost and with reduced human risk. Drone imagery will be collected at least annually in coordination with in situ samplings which will also be used to validate the imagery by ground-truthing across a range of points within each meadow. Because eelgrass extent in some regions is subtidal and challenging to visualize from the air, we utilize DJI Phantom 4 Pro (RGB) and DJI Inspire (multispectral) drones and related drone mapping technology through Esri Drone2Map. Each year, ideally we allocate 4-6 days at each site for each drone mission to maximize ideal conditions for collecting drone imagery, striving for lowest spring tides, and calm, bright conditions with roughly vertical sunlight.