Spatial Analysis And Visualization Institute | Spatial Analytics And Visualization Institute

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Furthering justice with spatial analytics & visualization!

Welcome to the Spatial Analytics and Visualization Institute (SAVI) page, an official 91猎奇 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.

News

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..

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 Jos茅 are best and worst served in terms of proximity to essential services: food, recreation, education, healthcare, and others.

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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.

2024 SAVI GIS Day's Memorable Highlights

SAVI GIS Day 2024 was an incredible gathering of GIS professionals, students, and enthusiasts, celebrating the power of geographic information systems! From hands-on workshops and insightful presentations to networking with like-minded individuals, the day was filled with learning, collaboration, and innovation. Held at Studio on the Street in San Jose, attendees explored cutting-edge GIS applications, shared ideas, and built connections that will shape the future of geospatial technology. Special student discounts made it even more accessible for the next generation of GIS experts to join in on the experience. Relive the energy and excitement through this photo album, capturing the best moments of the event. Whether you were there in person or just want to see what you missed, these snapshots highlight the passion and community that make GIS Day so special!

Featured Project

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Where are San Jos茅'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鈥檚鈥淢obility Data for Safer Streets鈥� Initiative set out to assess these and more questions in this web-map and a MTI publication.

Past Events

Nov20

2024 GIS Day

3:00 pm to 6:00 pmURBP's SJ Downtown Studio

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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.