Results 41 to 50 of about 23,511 (246)
ISPRS International Journal of Geo-Information, 2020 Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs.
Muhammad Rizwan +2 more
doaj +1 more source
Predicting and analyzing the COVID-19 epidemic in China: Based on SEIRD, LSTM and GWR models
PLoS ONE, 2020 In December 2019, the novel coronavirus pneumonia (COVID-19) occurred in Wuhan, Hubei Province, China. The epidemic quickly broke out and spread throughout the country. Now it becomes a pandemic that affects the whole world.
Fenglin Liu +11 more
semanticscholar +1 more source
Agglomerate Fog Early Warning Method based on GWR Model [PDF]
, 2021 Abstract In order to realize the early warning of Agglomerate fog-prone sections, reduce accidents and ensure the safety of personal and property. Taking Shandong Province as an example, according to the statistics of the time and location of the roads where the agglomerate fog occurs and the number of occurrences in 2018, the time and space ...
Qi Wang +5 more
openaire +1 more source
PSR B1828-11: a precession pulsar torqued by a quark planet? [PDF]
, 2006 The pulsar PSR B1828-11 has long-term, highly periodic and correlated variations in both pulse shape and the rate of slow-down. This phenomenon may provide evidence for precession of the pulsar as suggested previously within the framework of free ...
K. Liu, Link, R. X. Xu, Y. L. Yue
core +3 more sources
Water Policy, 2021 This article presents an assessment of one of the earliest greywater reuse (GWR) experiences in Sharjah, United Arab Emirates (UAE). In 2003, the Sharjah Electricity and Water Authority (SEWA) imposed a compulsory GWR program on various categories of new
Abdallah Shanableh +7 more
doaj +1 more source
Scalable GWR: A Linear-Time Algorithm for Large-Scale Geographically Weighted Regression with Polynomial Kernels [PDF]
Annals of the American Association of Geographers, 2019 Although a number of studies have developed fast geographically weighted regression (GWR) algorithms for large samples, none of them has achieved linear-time estimation, which is considered a requisite for big data analysis in machine learning ...
D. Murakami +4 more
semanticscholar +1 more source
GeoWeightedModel : An R-Shiny package for Geographically Weighted Models
SoftwareX, 2022 This paper describes GeoWeightedModel, a R package, which provides a graphical user friendly web application to perform techniques from a subarea of spatial Statistics known as Geographically Weighted (GW) models, such as Geographically Weighted ...
Javier De La Hoz-M +2 more
doaj +1 more source
The importance of scale in spatially varying coefficient modeling [PDF]
, 2017 While spatially varying coefficient (SVC) models have attracted considerable attention in applied science, they have been criticized as being unstable. The objective of this study is to show that capturing the "spatial scale" of each data relationship is
Brunsdon, Chris +6 more
core +4 more sources
IOP Conference Series: Earth and Environmental Science, 2016 GWR-PM has been developed exclusively for decision makers in Peninsular Malaysia and the purpose is to provide them with additional flexibility in analysing spatial variation. While GWR extension analysis in ArcMap application has a universal coordinate system, GWR-PM is specifically designed with Peninsular Malaysia's coordinate system of Kertau RSO ...
J Jamhuri +3 more
openaire +1 more source
Carbon Management, 2018 The size of household CO2 emissions (HCE) has drawn increasing attention recently. Due to differences in geographical location, traditional models do not provide a valid basis or countermeasures for CO2 emissions reduction in different provinces, leading
Yanan Wang, Minjuan Zhao, Wei Chen
doaj +1 more source