Visual analytics supports humans in generating knowledge from large and often complex
datasets. Evidence is collected, collated and cross-linked with our existing knowledge. In the …

This Fourth Edition of Cartography: Visualization of Geospatial Data serves as an excellent
introduction to general cartographic principles. It is an examination of the best ways to …

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

Exploratory visual analysis is useful for the preliminary investigation of large structured,
multifaceted spatio-temporal datasets. This process requires the selection and aggregation …

NIH-NSF Visualization Research Challenges Report Share Your Story Page 1 NIH-NSF
Visualization Research Challenges Report Citation Johnson, Chris, Robert Moorhead …

This article discusses the prospects for automated discovery of explanatory models directly
from geospatial data. Rather than taking an approach based on machine learning, which …

Visual analytics has been widely studied in the past decade. One key to make visual
analytics practical for both research and industrial applications is the appropriate definition …

Information foraging and sense-making with heterogeneous information are context-
dependent activities. Thus visual analytics tools to support these activities must incorporate …

Public participation is required in neighborhood infrastructure planning and problem‐
solving. Although Participatory GIS methods are considered important to help urban …

Spatial analysis and social network analysis typically consider social processes in their own
specific contexts either geographical or network space. Both approaches demonstrate …