Results 61 to 70 of about 3,055,467 (232)

Spatial autocorrelation as a tool for identifying the geographical patterns of aphid annual abundance [PDF]

open access: yes, 2005
1 A spatial autocorrelation analysis was undertaken to investigate the spatial structure of annual abundance for the pest aphid Myzus persicae collected in suction traps distributed across north-west Europe.
Hulle, Maurice   +5 more
core   +1 more source

Enhanced spatial models for predicting the geographic distributions of tick-borne pathogens

open access: yesInternational Journal of Health Geographics, 2008
Background Disease maps are used increasingly in the health sciences, with applications ranging from the diagnosis of individual cases to regional and global assessments of public health. However, data on the distributions of emerging infectious diseases
Baer Adam D   +2 more
doaj   +1 more source

A Comparison of Weights Matrices on Computation of Dengue Spatial Autocorrelation

open access: yes, 2018
Spatial autocorrelation is one of spatial analysis to identify patterns of relationship or correlation between locations. This method is very important to get information on the dispersal patterns characteristic of a region and linkages between locations.
K. Suryowati, R. D. Bekti, A. Faradila
semanticscholar   +1 more source

Modelling Spatial Autocorrelation in Spatial Interaction Data

open access: yesSSRN Electronic Journal, 2007
Spatial interaction models of the gravity type are widely used to model origindestination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterise an origin region of a flow, variables that characterise a destination region of a flow, and finally ...
Fischer, Manfred M., Griffith, Daniel A.
openaire   +4 more sources

Functional brain networks reflect spatial and temporal autocorrelation

open access: yesNature Neuroscience, 2023
Maxwell Shinn   +15 more
semanticscholar   +1 more source

Spatial autocorrelation analysis of monitoring data of heavy metals in rice in China

open access: yesFood Control, 2018
The aim of this study was to analyze the spatial distribution of heavy metal monitoring data in paddy rice to provide a scientific basis for food safety risk assessment and suggestions for possible risk management. In this study, the spatial distribution
G. Xiao, Ying Hu, Ning Li, Dajin Yang
semanticscholar   +1 more source

Spatial relationship between carbon emissions and ecosystem service value based on land use: A case study of the Yellow River Basin.

open access: yesPLoS ONE
Land use changes significantly impact both carbon emissions and ecosystem service value (ESV). However, few studies have been conducted on the spatial relationship between land use carbon emissions (LUCE) and ESV. Thus, focused on the Yellow River Basin (
Gubu Muga, Damien S Tiando, Chong Liu
doaj   +1 more source

An Assessment of Spatial-temporal Alteration of Sunshine Hours in Iran [PDF]

open access: yesنشریه جغرافیا و برنامه‌ریزی, 2018
This study aims to identify the spatial autocorrelation and spatial variation of sunshine hours in Iran. For this purpose, the sunshine hours to form a network database have been made in Iran.
Golam Abbas Fallah Galharei, mehdi asadi
doaj  

A Novel Hybrid Method for Measuring the Spatial Autocorrelation of Vehicular Crashes: Combining Moran’s Index and Getis-Ord G i * Statistic

open access: yes, 2017
Spatial autocorrelation is a measure of the correlation of an observation with other observations through space. Most statistical analyses are based on the assumption that the values of observations are independent of one another. Spatial autocorrelation
A. Abdulhafedh
semanticscholar   +1 more source

Spatial dependence and Kaldor's laws: Evidence for the European regions [PDF]

open access: yes
In this paper we provide an outline of Kaldor's growth model and tests its relevance to the economic experience of European regions during the 1984-1992 period. The Kaldor's first law asserts that manufacturing is the engine of economic growth.
Jordi Pons-Novell   +1 more
core  

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