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A CUDA-Based Parallel Geographically Weighted Regression for Large-Scale Geographic Data

Dongchao Wang, Yi Yang, Agen Qiu, Xiaochen Kang, Jiakuan Han, Zhengyuan Chai
2020 ISPRS International Journal of Geo-Information  
We also compared the performance of FPGWR and other GWR software packages using open datasets.  ...  The results show that the runtime of FPGWR is negatively correlated with the CUDA core number, and the calculation efficiency of FPGWR achieves a rate of thousands or even tens of thousands times faster  ...  In most cases, tr S T S approximately equals tr(S) (tr S T S ≈ tr(S)), and thereby, the above Equation ( 14 ) can be simplified as σ2 = RSS n − tr(S) (15) Atomizing the GWR Model As mentioned above,  ... 
doi:10.3390/ijgi9110653 fatcat:x43facmfljgwbfcp56mvrmyz2u

Analysis of Factors Influencing Forest Loss in South Korea: Statistical Models and Machine-Learning Model

Jeongmook Park, Byeoungmin Lim, Jungsoo Lee
2021 Forests  
., ordinary least squares regression (OLS) and geographically weighted regression (GWR) models) and one machine-learning model (i.e., random forest (RF) model) were used.  ...  Moreover, high–high spatial clusters were found in the Seoul–Incheon–Gyeonggi and Daejeon–Chungnam regions. Among the models, the GWR model was the most accurate.  ...  Forests 2021, 12, 1636 10 of 23 AICc = 2nlog e ( σ) + nlog e (2π) + n n + tr(s) n − 2 − tr(s) (S = ŷi y i ) (12) y 3. Results and Discussion 3.1.  ... 
doi:10.3390/f12121636 fatcat:u5pgof3ta5dfjcjd4zvcvmv7um

Spatial Differentiation of Non-Grain Production on Cultivated Land and Its Driving Factors in Coastal China

Yan Sun, Yuanyuan Chang, Junna Liu, Xiaoping Ge, Gang-Jun Liu, Fu Chen
2021 Sustainability  
analysis, multiple linear regression models and geographically weighted regression analysis (GWR).  ...  In order to find out the overall situation regarding NGP on cultivated land in coastal China, this study revealed the spatial differentiation of NGP and its main driving factors by spatial autocorrelation  ...  , Sacramen CA, USA) and Stata 17.0 (StataCorp, Houston, TX, USA).  ... 
doi:10.3390/su132313064 fatcat:hqgjlbc26zh5lhwoh3v6xamzl4

Spatially-Varying Bayesian Predictive Synthesis for Flexible and Interpretable Spatial Prediction [article]

Danielle Cabel, Shonosuke Sugasawa, Masahiro Kato, Kosaku Takanashi, Kenichiro McAlinn
2022 arXiv   pre-print
Spatial data are characterized by their spatial dependence, which is often complex, non-linear, and difficult to capture with a single model.  ...  Through simulation examples and two real data applications, we demonstrate that our proposed spatial Bayesian predictive synthesis outperforms standard spatial models and advanced machine learning methods  ...  Acknowledgement This work is partially supported by Japan Society for Promotion of Science (KAKENHI) grant numbers 21H00699.  ... 
arXiv:2203.05197v2 fatcat:l4beisr37jcttbpdqwl4667aou

Application of Carbon Nanocomposite Sensing and Functional Magnetic Nanomaterial in the Sports Industry and Its Biosecurity Research

Zhenpeng Li, Zhigan Li, Zecheng Zhang
2022 Journal of Nanomaterials  
of Aspergillus and test and characterize the properties of nanocomposite.  ...  Nanomaterial science is a particularly important research field in modern science and technology, which has attracted wide attention and research from all walks of life since its inception and has formed  ...  structure efficiency [21] .  ... 
doi:10.1155/2022/1790787 doaj:4079dc29fa4f494aab05d84e32bf79c9 fatcat:rjhoiwwq3vg73lilnfmeromqs4

Production, consumption, and migration of methane in accretionary prism of southwestern Taiwan

Nai-Chen Chen, Tsanyao Frank Yang, Wei-Li Hong, Hsuan-Wen Chen, Hsiao-Chi Chen, Ching-Yi Hu, Yu-Chun Huang, Saulwood Lin, Li-Hung Lin, Chih-Chieh Su, Wei-Zhi Liao, Chih-Hsien Sun (+6 others)
2017 Geochemistry Geophysics Geosystems  
were nearly offset by each other, leaving total effluxes less than production at depth The potential flux imbalance could be likely accounted for by the sequestration of methane into hydrate forms and  ...  The flux imbalance arose primarily due to the larger production of methane through deep microbial and thermogenic processes at a magnitude of 1512-43,096 Tg Myr 21 and could be likely accounted for by  ...  Methane carbon isotope analysis were conducted and assisted by Ryo Mastumoto and Akihiro Hiruta at The University of Tokyo.  ... 
doi:10.1002/2017gc006798 fatcat:fuhq3rj7znh67cuf35vljmrrky

The conformation of the estrogen receptor directs estrogen-induced apoptosis in breast cancer: a hypothesis

Philipp Maximov, Surojeet Sengupta, Joan S. Lewis-Wambi, Helen R. Kim, Ramona F. Curpan, V. Craig Jordan
2011 Hormone Molecular Biology and Clinical Investigation  
.: ERα positive MCF7:5C cells were used to study apoptosis induced by E2, 4OHT and TPEs. Growth and apoptosis assays were used to evaluate apoptosis and the ability to reverse E2-induced apoptosis.  ...  .: Our results advances the hypothesis that the TPE liganded ERα complex structurally resembles the 4OHT bound ERα and cannot efficiently recruit co-activator SRC3.  ...  Solutions, Temecula, CA).  ... 
doi:10.1515/hmbci.2010.047 pmid:21660224 pmcid:PMC3109984 fatcat:jbuwx3zkenbb7mvcqy2naplsfi

Value network analysis in a low-cost and affordable internet

Jaume Benseny, Heikki Hammainen
2016 2016 European Conference on Networks and Communications (EuCNC)  
Local market analysis for connectivity and data services ...  ...  We specifically study the diffusion of 4G and fiber  ...  We investigate the geographical diffusion of wireless technologies through national and local markets to understand rural penetration and urban diversification challenges, respectively.  ... 
doi:10.1109/eucnc.2016.7561022 dblp:conf/eucnc/BensenyH16 fatcat:niu7nz6n5jgfrhoj7yqgt6npea

Algebraic simplification in computer algebra: an analysis of bottom-up algorithms

Rafael Casas, María-Inés Fernández-Camacho, Jean-Marc Steyaert
1990 Theoretical Computer Science  
beiz partially supported by the French and Spanish govermentc and by the ll'.R.C .  ...  Denoting this variance, as a function of the input size tr, by v,, we recall the well-known fact that In order to evaluate aslrmn*n*;rr YIII!  ...  This set can be defined inductively by and ic therefore isomorphic to set ..a of Section 2 although the algorithms are different.  ... 
doi:10.1016/0304-3975(90)90078-v fatcat:pan2n2urwreffevgbkj4f27uci

Estimating surface runoff and groundwater recharge in an urban catchment using a water balance approach

Robin K. Weatherl, Maria J. Henao Salgado, Maximilian Ramgraber, Christian Moeck, Mario Schirmer
2021 Hydrogeology Journal  
Surface runoff in particular is significantly impacted by land cover.  ...  Two empirical models were used to estimate runoff: (1) an updated, advanced method based on curve number, followed by (2) bivariate hydrograph separation.  ...  These GWR recharge system.  ... 
doi:10.1007/s10040-021-02385-1 fatcat:j5ej2cfkljaldiodffwfxd72nm

A Distributed Method for Fitting Laplacian Regularized Stratified Models [article]

Jonathan Tuck, Shane Barratt, Stephen Boyd
2019 arXiv   pre-print
The method is very efficient, and naturally scales to large data sets or numbers of stratified feature values. We illustrate our method with a variety of examples.  ...  We propose an efficient distributed method for fitting stratified models, based on the alternating direction method of multipliers (ADMM).  ...  We propose an efficient distributed solution method based on the alternating direction method of multipliers (ADMM) [11] , which allows us to solve the optimization problem in a distributed fashion and  ... 
arXiv:1904.12017v3 fatcat:bvtzpiplybeahlqzt66fhuyga4

Charge transport modelling of lithium ion batteries [article]

Giles W Richardson, Jamie M Foster, Rahifa Ranom, Colin P Please, Angel M Ramos
2020 arXiv   pre-print
Numerical solution to this model is discussed and illustrative results for a common device are computed.  ...  It reviews the models developed by Newman and co-workers, both in the cases of dilute and moderately-concentrated electrolytes and indicates the modelling assumptions required for their development.  ...  Acknowledgements GWR, JMF and CPP are supported by the Faraday Institution Multi-Scale Modelling (MSM) project Grant number EP/S003053/1.  ... 
arXiv:2002.00806v1 fatcat:mdugjaadifexje2xbj7v2t6g4i

Charge transport modelling of Lithium-ion batteries

2021 European journal of applied mathematics  
Numerical solution to this model is discussed and illustrative results for a common device are computed.  ...  It reviews the models developed by Newman and co-workers, both in the cases of dilute and moderately concentrated electrolytes and indicates the modelling assumptions required for their development.  ...  Acknowledgements GWR, JMF and CPP are supported by the Faraday Institution Multi-Scale Modelling (MSM) project Grant number EP/S003053/1.  ... 
doi:10.1017/s0956792521000292 fatcat:a3tqjvuvfzd35dhu2tihx7whua

Inferring Gene-by-Environment Interactions with a Bayesian Whole-Genome Regression Model

Matthew Kerin, Jonathan Marchini
2020 American Journal of Human Genetics  
is explained by GxE interactions and that low-frequency variants explain most of this variance.  ...  The contribution of gene-by-environment (GxE) interactions for many human traits and diseases is poorly characterized.  ...  N s 2 b þ b s 2 g tr b V .  ... 
doi:10.1016/j.ajhg.2020.08.009 pmid:32888427 pmcid:PMC7536582 fatcat:7xeqyomumncjxiwimemiwayhhu

Advanced Algorithms for the Simulation of Gauge Theories with Dynamical Fermionic Degrees of Freedom [article]

Wolfram Schroers
2003 arXiv   pre-print
This thesis is focused on the implementation and the application of a novel kind of algorithm which is expected to overcome the limitations of older schemes.  ...  In the case that it is finite, the solution of Eq. (2.10) is well-defined and can be found by diagonalizing the operatorĤ.  ...  The problem of representation of chiral symmetry on the lattice has been resolved only recently, when it was realized that a solution of the Ginsparg-Wilson relation (GWR) introduced in [124] has an  ... 
arXiv:hep-lat/0304016v1 fatcat:7iul7bsumjcspc5rk5hmfdozou
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