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Furthering justice with spatial analytics & visualization!

Welcome to the Spatial Analytics and Visualization Institute (SAVI) page, an official SJSU Campus Institute in the California State University system. We are the only CSU Institute in Northern California to implement advanced GISci techniques for justice, equity, and democracy research and education! SAVI uses the power of geography and Geographic Information Science to produce impactful research and professional services with focus on furthering justice, equity, and democracy to serve our university departments, neighborhood organizations, public agencies and private sector entities in Silicon Valley and the Bay Area.


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 with 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: food, recreation, education, healthcare, and others.

Full report

Bike Equity New Image

SAVI's New Work - San Jose Bike Equity Web Map

SAVI's recent research uses GISc techniques to quantify a bike infrastructure availability score to account for the availability of bike paths as well as the variation of safety and comfort across different bike path classes in San José, California. This score helps to find out where San José's best (bike paradise) and worst (bike desert) regions are for cycling, how different the socioeconomic attributes of San José’s bike desert and paradise residents are and whether San José succeeded in achieving an equitable infrastructure distribution and, if so, to what extent?

Explore SJ Bike Equity Web-Map

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A new SAVi study assesses high-tech firm location

A recent SAVi study authored by SAVi-codirector assesses the relationships between transportation amenities and high-tech firm location in the U.S. tech clusters. 

Learn more about the U.S. high-tech zones

Featured Project

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San Jose Bike Equity Map

Where are San José's best and worst regions for cycling? How are they distributed in relation to socioeconomic and infrastructure factors? This SAVI project sponsored by Sponsored by Mineta Transportation Institute (MTI) and Spin’s “Mobility Data for Safer Streets” Initiative set out to assess these and more questions in this web-map and a MTI publication.

Explore SJ-BE Map

Join us for the next SAVI Talk!

SAVI Talks!

SAVI is honored to partner with the Mineta Transportation Institute for the next SAVI Talk on Wednesday, May 8, 2024 12:00-12:30p.m. (PT). This Research Snap/SAVI Talk webinar showcase the SJ-BikeEquity Project. Bike networks are growing nationwide—including in San José, which is keen on becoming “one of the most bike-friendly cities in North America.” Expanding bike networks and allocating funds require careful planning to ensure a fair distribution of bike infrastructure, but most assessment methods neglect differences in bike path classes that provide different safety and comfort levels for cyclists. Join experts to discuss an equity assessment of San José’s bike infrastructure, driven by a weighting system for different safety and comfort levels of the urban bike network, and what it could mean for traffic congestion, sustainability, and Bay Area communities.

Sign up Here!

Past Events

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The DJI Phantom 4 Pro

West Coast Drone Mapping

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.

Know More about West Coast Drone Mapping