|
|
|
|
|
Anton Borg and Martin Svensson
The evidence that burglaries cluster spatio-temporally is strong. However, research is unclear on whether clustered burglaries (repeats/near-repeats) should be treated as qualitatively different crimes compared to spatio-temporally unrelated burglaries (...
ver más
|
|
|
|
|
|
|
|
|
Inder Tecuapetla-Gómez, Gerardo López-Saldaña, María Isabel Cruz-López and Rainer Ressl
Earth observation (EO) data play a crucial role in monitoring ecosystems and environmental processes. Time series of satellite data are essential for long-term studies in this context. Working with large volumes of satellite data, however, can still be a...
ver más
|
|
|
|
|
|
|
|
|
Lan You, Zhengyi Guan, Na Li, Jiahe Zhang, Haibo Cui, Christophe Claramunt and Rui Cao
Taxi waiting times is an important criterion for taxi passengers to choose appropriate pick-up locations in urban environments. How to predict the taxi waiting time accurately at a certain time and location is the key solution for the imbalance between t...
ver más
|
|
|
|
|
|
|
|
|
Yangnan Guo, Cangjiao Wang, Shaogang Lei, Junzhe Yang and Yibo Zhao
Spatio-temporal fusion algorithms dramatically enhance the application of the Landsat time series. However, each spatio-temporal fusion algorithm has its pros and cons of heterogeneous land cover performance, the minimal number of input image pairs, and ...
ver más
|
|
|
|
|
|
|
|
|
Xiaojing Wu and Donghai Zheng
Unprecedented amounts of spatio-temporal data instigates an urgent need for patterns exploration in it. Clustering analysis is useful in extracting patterns from big data by grouping similar data elements into clusters. Compared with one-way clustering a...
ver más
|
|
|
|