Results 11 to 20 of about 617,742 (295)

Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States [PDF]

open access: yes, 2020
Spatially explicit livestock disease models require demographic data for individual farms or premises. In the U.S., demographic data are only available aggregated at county or coarser scales, so disease models must rely on assumptions about how ...
Burdett, Christopher L.   +8 more
core   +1 more source

Assessing road accidents in spatial context via statistical and non-statistical approaches to detect road accident hotspot using GIS

open access: yesGeodetski Vestnik, 2022
Road accidents are among the most critical causes of fatality, personal injuries, and financial damage worldwide. Identifying accident hotspots and the causes of accidents and improving the condition of these hotspots is an economical way to improve road
Yegane Khosravi   +2 more
doaj   +1 more source

Spatial Prediction of COVID-19 Pandemic Dynamics in the United States

open access: yesISPRS International Journal of Geo-Information, 2022
The impact of COVID-19 across the United States (US) has been heterogeneous, with rapid spread and greater mortality in some areas compared with others.
Çiğdem Ak   +4 more
doaj   +1 more source

Hunting as land use: Understanding the spatial associations among hunting, agriculture, and forestry

open access: yesEcology and Society, 2022
Hunting is a widespread but often overlooked land-use activity, providing major benefits to society. Hunting takes place in most landscapes, yet it remains unclear which types of landscapes foster or dampen hunting-related services, and how hunting ...
Wiebke Neumann   +5 more
doaj   +1 more source

Human distribution and spatial-temporal clustering analysis of human brucellosis in China from 2012 to 2016

open access: yesInfectious Diseases of Poverty, 2020
Background Brucellosis is a major public health issue in China, while its temporal and spatial distribution have not been studied in depth. This study aims to better understand the epidemiology of brucellosis in the mainland of China, by investigating ...
Pei-Feng Liang   +4 more
doaj   +1 more source

An Interband Registration Method for Hyperspectral Images Based on Adaptive Iterative Clustering

open access: yesRemote Sensing, 2021
In the context of the problem of image blur and nonlinear reflectance difference between bands in the registration of hyperspectral images, the conventional method has a large registration error and is even unable to complete the registration. This paper
Shiyong Wu   +4 more
doaj   +1 more source

Spatial Clustering Analysis of the COVID-19 Pandemic: A Case Study of the Fourth Wave in Vietnam

open access: yesGeography, Environment, Sustainability, 2021
An outbreak of the 2019 Novel Coronavirus Disease (COVID-19) in China caused by the emergence of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARSCoV2) spreads rapidly across the world and has negatively affected almost all countries including such ...
Danh-tuyen Vu   +2 more
doaj   +1 more source

An Intuitionistic Fuzzy Similarity Approach for Clustering Analysis of Polygons

open access: yesISPRS International Journal of Geo-Information, 2019
Accurate and reasonable clustering of spatial data results facilitates the exploration of patterns and spatial association rules. Although a broad range of research has focused on the clustering of spatial data, only a few studies have conducted a deeper
Zhanlong Chen   +3 more
doaj   +1 more source

Cities as spatial clusters [PDF]

open access: yesJournal of Economic Geography, 2013
This article shows that Zipf’s Law for cities can emerge as a property of a clustering process. If initially uniformly distributed people chose their location based on a specific gravity equation as found in trade studies, they will form cities that follow Zipf’s Law in expected value.
openaire   +4 more sources

Driver fixation region division–oriented clustering method based on the density-based spatial clustering of applications with noise and the mathematical morphology clustering

open access: yesAdvances in Mechanical Engineering, 2015
A clustering method that combined density-based spatial clustering of applications with noise with mathematical morphology clustering is proposed to adapt to the features of driver’s fixation such as points’ dispersion and fixation regions’ irregularity ...
Shi-wu Li   +6 more
doaj   +1 more source

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