Geospatial big data handling theory and methods: A review and research challenges
Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …
attention of academia, industry, government and other organizations. Big data can be …
Advances in spatial epidemiology and geographic information systems
The field of spatial epidemiology has evolved rapidly in the past 2 decades. This study
serves as a brief introduction to spatial epidemiology and the use of geographic information …
serves as a brief introduction to spatial epidemiology and the use of geographic information …
[HTML][HTML] Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first discovered in
late 2019 in Wuhan City, China. The virus may cause novel coronavirus disease 2019 …
late 2019 in Wuhan City, China. The virus may cause novel coronavirus disease 2019 …
Geographical and temporal weighted regression (GTWR)
Both space and time are fundamental in human activities as well as in various physical
processes. Spatiotemporal analysis and modeling has long been a major concern of …
processes. Spatiotemporal analysis and modeling has long been a major concern of …
[图书][B] Key methods in geography
" Practical, accessible, careful and interesting, this... revised volume brings the subject up-to-
date and explains, in bite sized chunks, the′ how′ s′ and′ why′ s′ of modern day …
date and explains, in bite sized chunks, the′ how′ s′ and′ why′ s′ of modern day …
Crime rate inference with big data
Crime is one of the most important social problems in the country, affecting public safety,
children development, and adult socioeconomic status. Understanding what factors cause …
children development, and adult socioeconomic status. Understanding what factors cause …
A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation
Predictive hotspot mapping plays a critical role in hotspot policing. Existing methods such as
the popular kernel density estimation (KDE) do not consider the temporal dimension of …
the popular kernel density estimation (KDE) do not consider the temporal dimension of …
[HTML][HTML] Analysis and visualisation of movement: an interdisciplinary review
The processes that cause and influence movement are one of the main points of enquiry in
movement ecology. However, ecology is not the only discipline interested in movement: a …
movement ecology. However, ecology is not the only discipline interested in movement: a …
Pollution reduction effect of the digital transformation of heavy metal enterprises under the agglomeration effect
L Xiong, J Ning, Y Dong - Journal of Cleaner Production, 2022 - Elsevier
There are few studies on the reduction of heavy metal pollution from the perspectives of
digital transformation and the agglomeration effect of heavy metal enterprises. In this study …
digital transformation and the agglomeration effect of heavy metal enterprises. In this study …
[HTML][HTML] Spatiotemporal data clustering: A survey of methods
Z Shi, LSC Pun-Cheng - ISPRS international journal of geo-information, 2019 - mdpi.com
Large quantities of spatiotemporal (ST) data can be easily collected from various domains
such as transportation, social media analysis, crime analysis, and human mobility analysis …
such as transportation, social media analysis, crime analysis, and human mobility analysis …