Big Data

RayBooster: A Ray Tracing Engine to Accelerate SedonaDB

Hardware acceleration is becoming increasingly critical for spatial databases, as their workloads are geometrically complex, dataintensive, and subject to growing real-time requirements. Building on our prior strong evidence that Ray Tracing (RT) …

Coincident Data Discovery Engine: A Portal for Global-Scale Cross-Platform Satellite Data Search

Coincident satellite data refer to remote sensing observations fromdifferent platforms that capture the same geographic location withina short temporal window. Such data enable multi-modal and multi-view analysis—particularly for dynamic systems like …

GLIN: A (G) eneric (L) earned (In) dexing Mechanism for Complex Geometries

Although spatial indexes shorten the query response time, they rely on complex tree structures to narrow down the search space. Such structures in turn yield additional storage overhead and take a toll on index maintenance. Recently, there have been …

CptS 223 Advanced Data Structures (Java)

Instructor, Undergraduate level, Computer Science, Washington State University

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets

Knowledge discovery from spatial data is essential for many important societal applications including crop monitoring, solar energy estimation, traffic prediction and public health. This paper aims to tackle a key challenge posed by spatial data – …

CptS 415 Big data

Instructor, Senior undergraduate level, Computer Science, Washington State University

CptS 223 Advanced Data Structures (C/C++)

Instructor, Undergraduate level, Computer Science, Washington State University

GeoSparkViz: A Cluster Computing System for Visualizing Massive-Scale Geospatial Data

In the last decade, geospatial data which is extracted from GPS traces and satellites image has become ubiquitous. GeoVisual analytics, abbr. GeoViz, is the science of analytical reasoning assisted by geospatial map interfaces. GeoViz involves two …

CptS 415 Big data

Instructor, Senior undergraduate level, Computer Science, Washington State University

Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards

In this paper, we demonstrate Tabula, a middleware that sits between the data system and the geospatial visualization dashboard to increase user interactivity. The proposed system adopts a sampling cube approach that stores prematerialized spatial …