Geospatial big data handling theory and methods: A review and research challenges

S Li, S Dragicevic, FA Castro, M Sester, S Winter… - ISPRS journal of …, 2016 - Elsevier
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 …

Advances in spatial epidemiology and geographic information systems

RS Kirby, E Delmelle, JM Eberth - Annals of epidemiology, 2017 - Elsevier
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 …

[HTML][HTML] Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States

A Hohl, EM Delmelle, MR Desjardins, Y Lan - Spatial and spatio-temporal …, 2020 - Elsevier
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 …

Geographical and temporal weighted regression (GTWR)

AS Fotheringham, R Crespo, J Yao - Geographical Analysis, 2015 - Wiley Online Library
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 …

[图书][B] Key methods in geography

N Clifford, M Cope, T Gillespie, S French - 2016 - books.google.com
" 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 …

Crime rate inference with big data

H Wang, D Kifer, C Graif, Z Li - Proceedings of the 22nd ACM SIGKDD …, 2016 - dl.acm.org
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 …

A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation

Y Hu, F Wang, C Guin, H Zhu - Applied geography, 2018 - Elsevier
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 …

[HTML][HTML] Analysis and visualisation of movement: an interdisciplinary review

U Demšar, K Buchin, F Cagnacci, K Safi… - Movement ecology, 2015 - Springer
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 …

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 …

[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 …