Abstract The Internet of Things (IoT) paradigm represents networks of objects that, without
requiring human action, sense and interact with the environment, collect data, and transmit …

Accurate and reliable forestry data can be obtained by means of continuous monitoring of
forests using advanced technologies, which provides a major opportunity for the …

This paper introduces the open-source Beast system for scalable exploratory data science
on big spatio-temporal data. Beast is based on well-established research and has been …

Prior work has studied the interaction experiences of screen-reader users with simple online
data visualizations (eg, bar charts, line graphs, scatter plots), highlighting the …

The widespread adoption of Internet of Things (IoT) motivated the emergence of mixed
workloads in smart cities, where fast arriving geo-referenced big data streams are joined …

The advent of the era of big remote sensing data has transformed traditional data
management and analysis models, among which visualization analysis has gradually …

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 …

Point cloud data (PCD) have attracted attention in many disciplines, including civil
engineering. However, big PCD have posed great challenges for conventional approaches …

Kernel density visualization (KDV) has been the de facto method in many spatial analysis
tasks, including ecological modeling, crime hotspot detection, traffic accident hotspot …

Rapid visualization of large-scale spatial vector data is a long-standing challenge in
Geographic Information Science. In existing methods, the computation overheads grow …