Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …

The release of Google Street View in 2007 inspired several new panoramic street-level
imagery platforms including Apple Look Around, Bing StreetSide, Baidu Total View, Tencent …

Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …

Assessing the effect of street built environment on crime occurrence is a hot research subject
in environmental criminology, which also plays an important role in crime prevention or even …

Points of interest (POIs) digitally represent real-world amenities as point locations. POI
categories (eg restaurant, hotel, museum etc.) play a prominent role in several location …

Machine learning algorithms have had a profound impact on the field of computer science
over the past few decades. The performance of these algorithms heavily depends on the …

House prices have long been closely related to the built environment of cities, yet whether
the subjective perception (SP) of these environments has a differing effect on prices at …

Neural networks are a machine learning method that excel in solving classification and
forecasting problems. They have also been shown to be a useful tool for working with big …

Digital (forensic) investigations will be increasingly important in both criminal investigations
and civil litigations (eg, corporate espionage, and intellectual property theft) as more of our …

Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …