Data-Driven Exploration of Real-Time Geospatial Text Streams | IBOOK.PUB

Data-Driven Exploration of Real-Time Geospatial Text Streams

Geolocated social media data streams are challenging data sources due to volume, velocity, variety, and unorthodox vocabulary. However, they also are an unrivaled source of eye-witness accounts to establish remote situational awareness. In this paper we s

PDF / 28,955,562 Bytes
365 Pages / 439.37 x 666.142 pts Page_size
56 Downloads / 168 Views

Recommend Documents

Streams

163 16 239KB

DeepAutoMapping: low-cost and real-time geospatial map generation method using deep learning and video streams

149 49 4MB

A comparative study of feature selection methods for binary text streams classification

179 45 2MB

Geospatial Thinking

159 76 33MB

Geospatial Metadata

169 15 2MB

Graph Streams

195 20 2MB

Growth of $${\text{N}}{{{\text{d}}}_{{{\text{1}}\; - \;y}}}{\text{Eu}}_{y}^{{{\text{2}} + }}{{{\text{F}}}_{{{\text{3}}\;

213 93 777KB

Geospatial Authorization

196 6 239KB

Geospatial Analysis

198 56 239KB

Geospatial Ontology

177 47 239KB

Geospatial Metadata

158 74 239KB

Geospatial Technology

178 65 239KB