… We develop an integrated geovisual analytics approach that integrates two advanced
machine learning methods with interactive maps to characterize two types of high-level, complex …

… -in-the-loop machine learning of relevant posts to each analytical scenario. After Tweets are
… SMART combines advanced statistical modeling, text analytics, machine learning, and novel …

… disciplines, such as statistical analysis and modeling, machine learning and data mining, …
of geovisual analytics. This gives the reader an idea about the scope of the geovisual analytics …

… eye-tracking and machine learning methods for application in … geoexploration) and on
machine learning tools for exploring … the use of eye tracking and machine learning to design gaze-…

… in the fields of geovisualization and information visualization, human‐computer interaction,
geographic information science, operations research, data mining and machine learning, …

… made possible by machine learning and artificial intelligence, … a particular focus on data
analytics and visualization, including … intelligence (GeoAI) and geovisual analytics (GeoVA) as …

… We present GeoMovement, a system that is based on combining machine learning and
rule-based extraction of movement-related information with state-of-the-art visualization …

… The effort can be viewed as a manual annotation of a training set for a future machine
learning algorithm. Authors document cartographic choices made by newspapers in …

… We show that supervised machine learning-based classifiers can identify and categorize
documents as mentioned above with reasonably high accuracy. The results demonstrate that …

… Analytics relevant for geovisualization is Geovisual Analytics, which integrates perspectives
from Visual Analytics … of Visual Analytics are also applicable for Geovisual Analytics and the …