Journal ArticleDOI
Parallel computing for Fast Spatiotemporal Weighted Regression
Reads0
Chats0
TLDR
F-STWR can significantly improve STWR's capability of processing large-scale spatiotemporal data and is tested in a High-Performance Computing environment with a total number of 204,611 observations in 19 years.About:
This article is published in Computers & Geosciences.The article was published on 2021-05-01. It has received 4 citations till now.read more
Citations
More filters
Journal ArticleDOI
Local neural-network-weighted models for occurrence and number of down wood in natural forest ecosystem
Yuman Sun,Weiwei Jia,Wancai Zhu,Xiaoyong Sophie Zhang,Subati Saidahemaiti,Tao Hu,Haotian Guo +6 more
TL;DR: In this paper , the authors introduced the local neural-network-weighted models of Geographic Neural-Network-Weighted (GNNWR) models to explain the forest system by quantifying the spatial relationship between DW and environmental parameters.
Posted ContentDOI
Spatiotemporal Heterogeneity of the Influence of Air Pollution on Influenza in Fuzhou: Spatiotemporal Weighted Regression Model (Preprint)
TL;DR: Wang et al. as discussed by the authors explored the spatiotemporal heterogeneity of the impact of air pollution on influenza and provided a new method and tool for infectious disease surveillance, which can also support decision-making and improve influenza epidemic prevention and control measures.
Fast gap-filling of massive data by local-equilibrium conditional simulations on GPU
Matúš Lach,M. vZukovivc +1 more
TL;DR: In this article , the authors propose a general approach to model spatial heterogeneity in GPU-implemented spatial prediction methods for two-dimensional gridded data by introducing spatial variability to model parameters.
Journal ArticleDOI
Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning
Xinhong Cai,Dawei Xu +1 more
TL;DR: Zhang et al. as mentioned in this paper applied edge computing technology to analyze the hydrological spatial structure characteristics and ecological planning method of waterfront green space, which can detect the flood control safety system planning, analysis of water source pollution.
References
More filters
Journal ArticleDOI
Robust Locally Weighted Regression and Smoothing Scatterplots
TL;DR: Robust locally weighted regression as discussed by the authors is a method for smoothing a scatterplot, in which the fitted value at z k is the value of a polynomial fit to the data using weighted least squares, where the weight for (x i, y i ) is large if x i is close to x k and small if it is not.
Journal ArticleDOI
The ORCA program system
TL;DR: An overview of the current possibilities of ORCA is provided and its efficiency is documents.
Book
Geographically Weighted Regression: The Analysis of Spatially Varying Relationships
TL;DR: In this paper, the basic GWR model is extended to include local statistics and local models for spatial data, and a software for Geographically Weighting Regression is described. But this software is not suitable for the analysis of large scale data.
Journal ArticleDOI
TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing.
TL;DR: TREE-PUZZLE is a program package for quartet-based maximum-likelihood phylogenetic analysis that provides methods for reconstruction, comparison, and testing of trees and models on DNA as well as protein sequences to reduce waiting time for larger datasets.
Journal ArticleDOI
Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
TL;DR: A technique is developed, termed geographically weighted regression, which attempts to capture variation by calibrating a multiple regression model which allows different relationships to exist at different points in space by using Monte Carlo methods.