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
Integrating Suspect and Nontarget Screening with Spatial Autocorrelation to Prioritize Emerging Contaminants in a Coastal Urban River.
Sign Up to like & getrecommendations! Published in 2025 at "Environmental science & technology"
DOI: 10.1021/acs.est.5c03460
Abstract: Emerging contaminants (ECs) in coastal urban rivers threaten marine ecosystems, yet existing prioritization strategies focus on the physicochemical properties of ECs, neglecting the contribution of environmental conditions (e.g., pollution sources and hydrological dynamics) to the… read more here.
Keywords: spatial autocorrelation; coastal urban; suspect nontarget; nontarget screening ... See more keywords
Analyzing the spatiotemporal effects of meteorological factors on hand, foot and mouth disease using mixed geographically and temporally weighted autoregressive models
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-07936-0
Abstract: Spatial autocorrelation is an important epidemiological feature of hand, foot, and mouth disease (HFMD). However, few studies have included this feature in the regression relationship between HFMD incidence and driving factors to explore its impact… read more here.
Keywords: spatial autocorrelation; hfmd; incidence hfmd; incidence ... See more keywords
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2024.2366300
Abstract: The principle of independence is a fundamental yet often disregarded assumption in statistical inference. It is observed that the implications of correlations, if not considered, can lead to a conservative estimation of Type I error… read more here.
Keywords: spatial autocorrelation; kolmogorov smirnov; test spatial; test ... 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
Exploring the impact of spatial autocorrelation on optimistic bias in cross-validation and assessing the effectiveness of spatial cross-validation
Sign Up to like & getrecommendations! Published in 2024 at "Cartography and Geographic Information Science"
DOI: 10.1080/15230406.2024.2422593
Abstract: ABSTRACT Spatial autocorrelation is a fundamental property of spatial data, which violates the assumption of independence between training and test datasets in general cross-validation (CV). Previous studies have reported strong positive spatial autocorrelation generally leads… read more here.
Keywords: spatial autocorrelation; cross validation; general results; autocorrelation ... 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
Spatiotemporal patterns of consumer financial fraud in the United States
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Bank Marketing"
DOI: 10.1108/ijbm-01-2024-0023
Abstract: PurposePrevious studies on consumer financial fraud (CFF) have primarily focused on micro-level relationships. This study seeks to provide a holistic macro-level perspective of CFF patterns in the USA. We explore whether CFFs follow a geographical… read more here.
Keywords: spatial autocorrelation; consumer; total losses; consumer financial ... See more keywords