Geospatial Data Management

Systems and Methods for an End-To-End Visual Analytics System for Massive-Scale Geospatial Data

Big Geospatial Data Processing Made Easy: A Working Guide to GeoSpark

Spatial Data Wrangling with GeoSpark - A Step by Step Tutorial

This tutorial is expected to deliver a comprehensive study and hands-on tutorial of how GeoSpark incorporates Spark to uphold massive-scale spatial data. We also want this tutorial to serve as an introductory course that teaches the audience the …

Spatial Data Wrangling With GeoSpark - A Step-by-Step Tutorial

GeoSpark and Geospatial Data Management in Apache Spark

Demonstrating GeoSparkSim: A Scalable Microscopic Road Network Traffic Simulator Based on Apache Spark

Road network traffic data has been widely studied by researchers and practitioners in different areas such as urban planning, traffic prediction and spatial-temporal databases. The existing urban traffic simulators suffer from two critical issues (1) …

Building a Large-Scale Microscopic Road Network Traffic Simulator in Apache Spark

Building Microscopic Road Network Traffic Simulators in Apache Spark

Road network traffic data has been widely studied by researchers and practitioners in different areas such as urban planning, traffic prediction and spatial-temporal databases. For instance, researchers use such data to evaluate the impact of road …

GeoSparkSim

GeoSparkSim is a scalable traffic simulator which extends Apache Spark to generate large-scale road network traffic datasets with microscopic traffic simulation.

Demonstrating Spindra: A Geographic Knowledge Graph Management System

Knowledge Graphs are widely used to store facts about real-world entities and events. With the ubiquity of spatial data, vertexes or edges in knowledge graphs can possess spatial location attributes side by side with other non-spatial attributes. For …