Social media analytics for natural disaster management
Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …
large variety of metadata fields in social media data, four dimensions (ie space, time, content …
A framework for using GPS data in physical activity and sedentary behavior studies
Ecological approaches to health and behavior have long held that place matters for health
(29). Physical activity (PA) and sedentary behavior (SB) research has focused on the …
(29). Physical activity (PA) and sedentary behavior (SB) research has focused on the …
[HTML][HTML] Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost
Z Li - Computers, Environment and Urban Systems, 2022 - Elsevier
Abstract Machine learning and artificial intelligence (ML/AI), previously considered black box
approaches, are becoming more interpretable, as a result of the recent advances in …
approaches, are becoming more interpretable, as a result of the recent advances in …
Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
Smart technologies are advancing, and smart cities can be made smarter by increasing the
connectivity and interactions of humans, the environment, and smart devices. This paper …
connectivity and interactions of humans, the environment, and smart devices. This paper …
Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA
Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing
the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and …
the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and …
Geographic data science
It is widely acknowledged that the emergence of “Big Data” is having a profound and often
controversial impact on the production of knowledge. In this context, Data Science has …
controversial impact on the production of knowledge. In this context, Data Science has …
Reproducibility and replicability: Opportunities and challenges for geospatial research
ABSTRACT A cornerstone of the scientific method, the ability to reproduce and replicate the
results of research has gained widespread attention across the sciences in recent years. A …
results of research has gained widespread attention across the sciences in recent years. A …
How GIS can help address the uncertain geographic context problem in social science research
MP Kwan - Annals of GIS, 2012 - Taylor & Francis
The uncertain geographic context problem (UGCoP), first articulated by Kwan (; The
uncertain geographic context problem. Annals of the Association of American Geographers …
uncertain geographic context problem. Annals of the Association of American Geographers …
Use of social media data in disaster management: a survey
Social media has played a significant role in disaster management, as it enables the general
public to contribute to the monitoring of disasters by reporting incidents related to disaster …
public to contribute to the monitoring of disasters by reporting incidents related to disaster …
[LLIBRE][B] Environmental applications of digital terrain modeling
JP Wilson - 2018 - books.google.com
A digital elevation model (DEM) is a digital representation of ground surface topography or
terrain. It is also widely known as a digital terrain model (DTM). A DEM can be represented …
terrain. It is also widely known as a digital terrain model (DTM). A DEM can be represented …