Challenges, tasks, and opportunities in modeling agent-based complex systems

L An, V Grimm, A Sullivan, BL Turner Ii, N Malleson… - Ecological …, 2021 - Elsevier
Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …

Location based services: ongoing evolution and research agenda

H Huang, G Gartner, JM Krisp, M Raubal… - Journal of Location …, 2018 - Taylor & Francis
We are now living in a mobile information era, which is fundamentally changing science and
society. Location Based Services (LBS), which deliver information depending on the location …

Spatiotemporal change analysis and prediction of future land use and land cover changes using QGIS MOLUSCE plugin and remote sensing big data: a case study of …

R Muhammad, W Zhang, Z Abbas, F Guo… - Land, 2022 - mdpi.com
Land use and land cover (LULC) change analysis is a systematic technique that aids in the
comprehension of physical and non-physical interaction with the natural habitat and the …

Association of mobile phone location data indications of travel and stay-at-home mandates with COVID-19 infection rates in the US

S Gao, J Rao, Y Kang, Y Liang, J Kruse… - JAMA network …, 2020 - jamanetwork.com
Importance A stay-at-home social distancing mandate is a key nonpharmacological
measure to reduce the transmission rate of severe acute respiratory syndrome coronavirus-2 …

Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China

C Wu, X Ye, F Ren, Q Du - Cities, 2018 - Elsevier
Urban vibrancy describes the attraction, diversity and accessibility of a place and exhibits
spatio-temporal variability. The relationships between urban vibrancy and land-use …

Portraying the spatial dynamics of urban vibrancy using multisource urban big data

W Tu, T Zhu, J Xia, Y Zhou, Y Lai, J Jiang… - … , Environment and Urban …, 2020 - Elsevier
Understanding urban vibrancy aids policy-making to foster urban space and therefore has
long been a goal of urban studies. Recently, the emerging urban big data and urban analytic …

Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions

H Huang, XA Yao, JM Krisp, B Jiang - Computers, Environment and Urban …, 2021 - Elsevier
The growing ubiquity of location/activity sensing technologies and location-based services
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …

Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China

J Li, J Li, Y Yuan, G Li - Cities, 2019 - Elsevier
The complexity of cities and their internal structure make it more and more important to study
the distribution of urban population density, and big data provide some new technical means …

Geospatial analysis of misinformation in COVID-19 related tweets

AM Forati, R Ghose - Applied Geography, 2021 - Elsevier
COVID-19 has emerged as a global pandemic caused by its highly transmissible nature
during the incubation period. In the absence of vaccination, containment is seen as the best …

Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level

Y Jiang, Z Li, X Ye - Cartography and geographic information …, 2019 - Taylor & Francis
Massive social media data produced from microblog platforms provide a new data source for
studying human dynamics at an unprecedented scale. Meanwhile, population bias in …