Improving disaster management and recovery techniques is one of national priorities given
the huge toll caused by man-made and nature calamities. Data-driven disaster management …

Recent advances in technology have enabled social media services to support space-time
indexed data, and internet users from all over the world have created a large volume of time …

Analyzing message streams from social blogging services such as Twitter is a challenging
task because of the vast number of documents that are produced daily. At the same time, the …

This article compares the current states of science and practice regarding spatiotemporal
(space+ time) crime analysis within intermediate-to large-size law enforcement agencies in …

For decades, the growth and volume of digital data collection has made it challenging to
digest large volumes of information and extract underlying structure. CoinedBig Data' …

ABSTRACT While exciting, Big Data (particularly geotagged social media data) has proven
difficult for many urbanists and social science researchers to use. As a partial solution, we …

Increasingly, consumers, businesses and governmental entities make decisions involving
geospatial data using spatial decision support systems (SDSS). One frequent geospatial …

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

Usually, official and survey-based statistics guide policymakers in their choice of response
instruments to economic crises. However, in an early phase, after a sudden and unforeseen …

Crime is an ubiquitous part of society. The way people express their concerns about crimes
has been of particular interest to the scientific community. Over time, the numbers and kinds …