A systematic review on modeling methods and influential factors for map** dengue-related risk in urban settings
Dengue fever is an acute mosquito-borne disease that mostly spreads within urban or semi-
urban areas in warm climate zones. The dengue-related risk map is one of the most practical …
urban areas in warm climate zones. The dengue-related risk map is one of the most practical …
Sociodemographic determinants of COVID-19 incidence rates in Oman: Geospatial modelling using multiscale geographically weighted regression (MGWR)
The current COVID-19 pandemic is evolving rapidly into one of the most devastating public
health crises in recent history. By mid-July 2020, reported cases exceeded 13 million …
health crises in recent history. By mid-July 2020, reported cases exceeded 13 million …
Spatial differentiation and determinants of COVID-19 in Indonesia
Background The spread of the coronavirus disease 2019 (COVID-19) has increasingly
agonized daily lives worldwide. As an archipelagic country, Indonesia has various physical …
agonized daily lives worldwide. As an archipelagic country, Indonesia has various physical …
Short‐term rental platform in the urban tourism context: A geographically weighted regression (GWR) and a multiscale GWR (MGWR) approaches
This article contributes to advancing the knowledge on the phenomenon of the most popular
short‐term rental platforms, Airbnb. By implementing a geographically weighted regression …
short‐term rental platforms, Airbnb. By implementing a geographically weighted regression …
Digital divides in the world and its regions: A spatial and multivariate analysis of technological utilization
JB Pick, T Nishida - Technological Forecasting and Social Change, 2015 - Elsevier
The research purpose is to identify the correlates of technology utilization for the world and
major world regions, while screening for spatial bias. Conceptual theory is induced which …
major world regions, while screening for spatial bias. Conceptual theory is induced which …
Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level
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 …
studying human dynamics at an unprecedented scale. Meanwhile, population bias in …
Modelling invasive alien plant distribution: A literature review of concepts and bibliometric analysis
In the last decades, the number of publications dedicated to the application of species
distribution models (SDMs) to invasive alien plants (IAPs) has constantly increased …
distribution models (SDMs) to invasive alien plants (IAPs) has constantly increased …
Incorporating spatial autocorrelation in machine learning models using spatial lag and eigenvector spatial filtering features
Applications of machine-learning-based approaches in the geosciences have witnessed a
substantial increase over the past few years. Here we present an approach that accounts for …
substantial increase over the past few years. Here we present an approach that accounts for …
Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression
J Martínez-Fernández, E Chuvieco… - Natural Hazards and …, 2013 - nhess.copernicus.org
Humans are responsible for most forest fires in Europe, but anthropogenic factors behind
these events are still poorly understood. We tried to identify the driving factors of human …
these events are still poorly understood. We tried to identify the driving factors of human …
Evaluating the effect of 3D urban form on neighborhood land surface temperature using Google Street View and geographically weighted regression
Context Land surface temperature (LST) directly responds to incoming solar radiation and is
strongly influenced by vertical urban structures, such as trees and buildings that provide …
strongly influenced by vertical urban structures, such as trees and buildings that provide …