Spatial autocorrelation reduces model precision and predictive power in deforestation analyses
Sign Up to like & getrecommendations! Published in 2017 at "Ecosphere"
DOI: 10.1002/ecs2.1824
Abstract: Generalized linear models are often used to identify covariates of landscape processes and to model land-use change. Generalized linear models however, overlook the spatial component of land-use data, and its effects on statistical inference. Spatial… read more here.
Keywords: model; predictive power; spatial autocorrelation; deforestation ... See more keywords
Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China
Sign Up to like & getrecommendations! Published in 2018 at "Empirical Economics"
DOI: 10.1007/s00181-017-1409-0
Abstract: This paper proposes a generalized spatial panel-data probit model with spatial autocorrelation of the dependent variable, the time-invariant individual shocks, and the remainder disturbances. It proposes its estimation with a Bayesian Markov chain Monte Carlo… read more here.
Keywords: generalized spatial; spatial autocorrelation; autocorrelation; probit model ... See more keywords
An investigation on thermal patterns in Iran based on spatial autocorrelation
Sign Up to like & getrecommendations! Published in 2018 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-016-2015-3
Abstract: The present study aimed at investigating temporal-spatial patterns and monthly patterns of temperature in Iran using new spatial statistical methods such as cluster and outlier analysis, and hotspot analysis. To do so, climatic parameters, monthly… read more here.
Keywords: thermal patterns; analysis; spatial autocorrelation; iran ... See more keywords
Design of a spatial sampling scheme considering the spatial autocorrelation of crop acreage included in the sampling units
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Integrative Agriculture"
DOI: 10.1016/s2095-3119(17)61882-3
Abstract: Abstract Information on crop acreage is important for formulating national food polices and economic planning. Spatial sampling, a combination of traditional sampling methods and remote sensing and geographic information system (GIS) technology, provides an efficient… read more here.
Keywords: crop acreage; crop; spatial autocorrelation; sampling units ... See more keywords
Traffic accident hotspot identification by integrating kernel density estimation and spatial autocorrelation analysis: a case study
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Crashworthiness"
DOI: 10.1080/13588265.2020.1826800
Abstract: The study presented an approach that integrated kernel density estimation (KDE) algorithm and spatial autocorrelation analysis, which helped to determine traffic accident (TA) hotspot locations and... read more here.
Keywords: kernel density; density estimation; spatial autocorrelation; accident hotspot ... See more keywords
Can satellite-based data substitute for surveyed data to predict the spatial probability of forest fire? A geostatistical approach to forest fire in the Republic of Korea
Sign Up to like & getrecommendations! Published in 2019 at "Geomatics, Natural Hazards and Risk"
DOI: 10.1080/19475705.2018.1543210
Abstract: Abstract To assess which data type is more effective for spatial modeling in the Republic of Korea, we conducted geostatistical analysis based on frequency, intensity, and spatial autocorrelation using two types of forest fire occurrence… read more here.
Keywords: republic korea; fire; forest fire; spatial autocorrelation ... See more keywords
Effects of intrinsic sources of spatial autocorrelation on spatial regression modelling
Sign Up to like & getrecommendations! Published in 2017 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.12866
Abstract: Detecting and dealing with spatial autocorrelation (SA) are indispensable steps in analyses of geospatial data. Despite consensus that SA originates from both extrinsic factors and intrinsic interactions, previous studies on regression analysis of spatially autocorrelated… read more here.
Keywords: ceteris paribus; strict exogeneity; spatial autocorrelation; intrinsic sources ... See more keywords
Uncertainty of spatial averages and totals of natural resource maps
Sign Up to like & getrecommendations! Published in 2023 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.14106
Abstract: Global, continental and regional maps of concentrations, stocks and fluxes of natural resources provide baseline data to assess how ecosystems respond to human disturbance and global warming. They are also used as input to numerous… read more here.
Keywords: uncertainty spatial; uncertainty; spatial autocorrelation; autocorrelation map ... See more keywords
When to use commuting zones? An empirical description of spatial autocorrelation in U.S. counties versus commuting zones
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0270303
Abstract: U.S. Commuting Zones (CZs) are an aggregation of county-level data that researchers commonly use to create less arbitrary spatial entities and to reduce spatial autocorrelation. However, by further aggregating data, researchers lose point data and… read more here.
Keywords: empirical description; use commuting; spatial autocorrelation; commuting zones ... See more keywords
Variance partitioning and spatial eigenvector analyses with large macroecological datasets
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers of biogeography"
DOI: 10.21425/f5fbg47295
Abstract: Macroecological data are usually structured in space, so taking into account spatial autocorrelation in regression and correlation analyses is essential for a better understanding of patterns and processes. Many methods are available to deal with… read more here.
Keywords: analyses large; variance partitioning; spatial autocorrelation; eigenvector ... See more keywords
Measuring the inequalities in healthcare resource in facility and workforce: A longitudinal study in China
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2023.1074417
Abstract: Objective The study aimed to measure time trends of inequalities of the geographical distribution of health facilities and workforce in Shanghai from 2010 to 2016 and used a spatial autocorrelation analysis method to precisely detect… read more here.
Keywords: health; spatial autocorrelation; healthcare resource; distribution ... See more keywords