Image showing a professor teaching focusing on 教育, a presentation going on focusing on 事件 and map of California focusing on 研究 capabilities of SAVi

Furthering justice with spatial analytics & 可视化!

Welcome to the Spatial Analytics and Visualization Institute (SAVI) page, an official 菠菜网lol正规平台 Campus Institute in the California State University system. 我们是唯一的犯罪现场调查组 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 科学 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 硅谷 and the Bay Area.

lol菠菜网正规平台

车间2024

萨维/ PIT-UN数据 & 民主研讨会

加入数据 & 民主研讨会 Aug 2024! This series is designed to empower election officials, policy professionals, and researchers to undertake data-driven projects that bolster free and fair elections. Learn Python, R, Opensource GIS for electoral innovation, and dive into queuing theory, optimize resources. Presented by the Spatial Analytics and Visualization Institute (SAVI) at San José State University and the Public Interest Technology University Network (PIT-UN), each three-hour workshop features a combination of short lectures on conceptual and theoretical knowledge, lab sessions 和练习. 

了解更多

15分钟邻居

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

How can cities effectively plan for walkable, livable neighborhoods? SAVI公司的支持 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, 和其他人.

完整的报告

Image showing high-tech firm locations in the US

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. 科技集群. 

了解更多关于美国的信息.S. 高新技术区

加入数据 & 民主研讨会 Aug 2024!
Data & 民主研讨会

加入数据 & 民主研讨会 Aug 2024!

加入数据 & 民主研讨会 Aug 2024! This series is designed to empower election officials, policy professionals, and researchers to undertake data-driven projects that bolster free and fair elections. Learn Python, R, Opensource GIS for electoral innovation, and dive into queuing theory, optimize resources. Presented by the Spatial Analytics and Visualization Institute (SAVI) at San José State University and the Public Interest Technology University Network (PIT-UN), each three-hour workshop features a combination of short lectures on conceptual and theoretical knowledge, lab sessions 和练习. Plus, graduates can participate in GIS的一天 at San José State in 11月ember, 2024 (registration opens in August).

在这里报名!

特色项目

Image showing internet access map of California

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 以及一份MTI出版物.

探索SJ-BE地图

过去的事件

A picture showing dr一个 and its remote controller placed on the ground
大疆幻影4 Pro

西海岸无人机测绘

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. Dr一个 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) dr一个s and related dr一个 mapping technology through Esri Dr一个2Map. Each year, ideally we allocate 4-6 days at each site for each dr一个 mission to maximize ideal conditions for collecting dr一个 imagery, striving for lowest spring tides, and calm, bright conditions with roughly vertical sunlight.

Know More about 西海岸无人机测绘