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Hidden negative spatial autocorrelation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-24806-4openalex-snapshot
Spatial Autocorrelation and Spatial Filtering
inferredcites →https://doi.org/10.1007/978-3-642-79877-1_8openalex-snapshot
Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures
inferredcites →https://doi.org/10.1007/978-94-015-7799-1openalex-snapshot
Spatial Econometrics: Methods and Models
inferredcites →https://doi.org/10.1007/bf01434277openalex-snapshot
EXPLORING RELATIONSHIPS BETWEEN SEMI‐VARIOGRAM AND SPATIAL AUTOREGRESSIVE MODELS
inferredcites →https://doi.org/10.1007/pl00011451openalex-snapshot
A linear regression solution to the spatial autocorrelation problem
inferredcites →https://doi.org/10.1007/s101100300145openalex-snapshot
Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995
inferredcites →https://doi.org/10.1016/0160-4120(91)90185-sopenalex-snapshot
Spatial data analysis in the social and environmental sciences
inferredcites →https://doi.org/10.1016/s0167-8809(01)00200-6openalex-snapshot
Theory, data, methods: developing spatially explicit economic models of land use change
inferredcites →https://doi.org/10.1017/cbo9780511623356openalex-snapshot
Spatial Data Analysis in the Social and Environmental Sciences
inferredcites →https://doi.org/10.1017/s0001867800045407openalex-snapshot
The statistical analysis of spatial pattern
inferredcites →https://doi.org/10.1046/j.1466-822x.2003.00322.xopenalex-snapshot
Spatial autocorrelation and red herrings in geographical ecology
inferredcites →https://doi.org/10.1068/a37378openalex-snapshot
Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach
inferredcites →https://doi.org/10.1080/136588100240912openalex-snapshot
Analysing forest fragmentation using spatial autocorrelation, graphs and GIS
inferredcites →https://doi.org/10.1080/136588100240976openalex-snapshot
Using desktop GIS for the investigation of accessibility by public transport: an isochrone approach
inferredcites →https://doi.org/10.1111/j.0022-4146.2003.00316.xopenalex-snapshot
Exploring Relationships Between the Global and Regional Measures of Spatial Autocorrelation
inferredcites →https://doi.org/10.1111/j.1365-3121.1992.tb00605.xopenalex-snapshot
STATISTICS FOR SPATIAL DATA
inferredcites →https://doi.org/10.1111/j.1435-5597.1990.tb01204.xopenalex-snapshot
SCREENING FOR SPATIAL DEPENDENCE IN REGRESSION ANALYSIS
inferredcites →https://doi.org/10.1111/j.1467-8306.2005.00484.xopenalex-snapshot
Effective Geographic Sample Size in the Presence of Spatial Autocorrelation
inferredcites →https://doi.org/10.1111/j.1538-4632.1995.tb00338.xopenalex-snapshot
Local Indicators of Spatial Association—LISA
inferredcites →https://doi.org/10.1111/j.1538-4632.2004.tb01130.xopenalex-snapshot
Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00999.xopenalex-snapshot
Spatial Interaction and the Statistical Analysis of Lattice Systems
inferredcites →https://doi.org/10.1186/1476-072x-2-5openalex-snapshot
Geographical and temporal distribution of human giardiasis in Ontario, Canada
inferredcites →https://doi.org/10.1890/0012-9658(2001)082[2707:fscaal]2.0.co;2openalex-snapshot
FOREST STRUCTURE, CANOPY ARCHITECTURE, AND LIGHT TRANSMITTANCE IN TROPICAL WET FORESTS
inferredcites →https://doi.org/10.2135/cropsci1998.0011183x003800060023xopenalex-snapshot
Application of Geostatistical and Neighbor Analyses to Data from Plant Breeding Trials
inferredcites →https://doi.org/10.2139/ssrn.336501openalex-snapshot
Explaining the Level of Relative Investment Specialisation: A Spatial Econometric Analysis of EU Regions
inferredcites →https://doi.org/10.2307/1426297openalex-snapshot
The statistical analysis of spatial pattern
inferredcites →https://doi.org/10.2307/213057openalex-snapshot
A County-Seat Model for the Areal Pattern of an Urban System
inferredcites →https://doi.org/10.4269/ajtmh.2001.65.538openalex-snapshot
Lyme disease in New York State: spatial pattern at a regional scale.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.1797568openalex-extracted
Does the Support of Innovative Clusters Sustainably Foster R&D Activity? Evidence from the German BioRegio and BioProfile Contests
inferred← citeshttps://doi.org/10.2139/ssrn.1972278openalex-extracted
After 'Raising the Bar': Applied Maximum Likelihood Estimation of Families of Models in Spatial Econometrics
inferred← citeshttps://doi.org/10.1002/asmb.2697openalex-snapshot
Separable spatio‐temporal kriging for fast virtual sensing
inferred← citeshttps://doi.org/10.1007/978-0-387-77650-7_33openalex-snapshot
Statistical Analysis of Spatial Crime Data
inferred← citeshttps://doi.org/10.1007/978-3-642-16043-1_6openalex-snapshot
Spatially Structured Random Effects: A Comparison of Three Popular Specifications
inferred← citeshttps://doi.org/10.1007/978-3-642-36203-3_72-1openalex-snapshot
Spatial Autocorrelation and Moran Eigenvector Spatial Filtering
inferred← citeshttps://doi.org/10.1007/978-3-662-60723-7_72openalex-snapshot
Spatial Autocorrelation and Moran Eigenvector Spatial Filtering
inferred← citeshttps://doi.org/10.1007/s00168-016-0780-7openalex-snapshot
Spatial spillovers in public expenditure on a municipal level in Spain
inferred← citeshttps://doi.org/10.1007/s10109-007-0048-yopenalex-snapshot
Spatial cointegration and heteroscedasticity
inferred← citeshttps://doi.org/10.1007/s10109-008-0068-2openalex-snapshot
Modeling network autocorrelation within migration flows by eigenvector spatial filtering
inferred← citeshttps://doi.org/10.1007/s10109-009-0093-9openalex-snapshot
Spatial autocorrelation and the sensitivity of RESET: a simulation study
inferred← citeshttps://doi.org/10.1007/s10109-015-0213-7openalex-snapshot
Random effects specifications in eigenvector spatial filtering: a simulation study
inferred← citeshttps://doi.org/10.1007/s10109-015-0225-3openalex-snapshot
Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters
inferred← citeshttps://doi.org/10.1007/s10109-020-00323-5openalex-snapshot
Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010
inferred← citeshttps://doi.org/10.1007/s10109-025-00465-4openalex-snapshot
Geographical-XGBoost: a new ensemble model for spatially local regression based on gradient-boosted trees
inferred← citeshttps://doi.org/10.1007/s42081-019-00063-xopenalex-snapshot
A memory-free spatial additive mixed modeling for big spatial data
inferred← citeshttps://doi.org/10.1016/b978-0-443-26629-4.00110-6openalex-snapshot
Spatial pattern analysis: From the perspective of spatial autocorrelation
inferred← citeshttps://doi.org/10.1016/b978-0-443-41743-6.00003-6openalex-snapshot
What is spatial autocorrelation? A conceptualization
inferred← citeshttps://doi.org/10.1016/j.actao.2010.07.002openalex-snapshot
Patch occupancy, number of individuals and population density of the Marbled White in a changing agricultural landscape
inferred← citeshttps://doi.org/10.1016/j.apgeog.2025.103708openalex-snapshot
High-resolution population density mapping in urban areas using a contextualized geographically weighted neural network (CGWNN) model
inferred← citeshttps://doi.org/10.1016/j.csda.2008.07.021openalex-snapshot
Power calculations for global and local Moran’s
inferred← citeshttps://doi.org/10.1016/j.ecolecon.2014.09.008openalex-snapshot
Protected areas, local governments, and strategic interactions: The case of the ICMS-Ecológico in the Brazilian state of Paraná
inferred← citeshttps://doi.org/10.1016/j.regsciurbeco.2017.05.004openalex-snapshot
A simple randomization test for spatial correlation in the presence of common factors and serial correlation
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112046openalex-snapshot
Spatial and temporal patterns of land loss in the Lower Mississippi River Delta from 1983 to 2016
inferred← citeshttps://doi.org/10.1016/j.spasta.2012.03.005openalex-snapshot
Spatial statistics: A quantitative geographer’s perspective
inferred← citeshttps://doi.org/10.1016/j.spasta.2014.04.001openalex-snapshot
A quality assessment of eigenvector spatial filtering based parameter estimates for the normal probability model
inferred← citeshttps://doi.org/10.1080/13658810902832591openalex-snapshot
Detecting negative spatial autocorrelation in georeferenced random variables
inferred← citeshttps://doi.org/10.1080/17421772.2023.2237532openalex-snapshot
Spatio-temporal principal component analysis
inferred← citeshttps://doi.org/10.1080/24694452.2026.2640220openalex-snapshot
Missing Data Can Be a Geographic Phenomenon
inferred← citeshttps://doi.org/10.1111/gean.12019openalex-snapshot
Developing Spatial Weight Matrices for Incorporation into Multiple Linear Regression Models: An Example Using Grizzly Bear Body Size and Environmental Predictor Variables
inferred← citeshttps://doi.org/10.1111/gean.12156openalex-snapshot
Eigenvector Spatial Filtering for Large Data Sets: Fixed and Random Effects Approaches
inferred← citeshttps://doi.org/10.1111/gean.12210openalex-snapshot
Impacts of Spatial Autocorrelation in Georeferenced Beta and Multinomial Random Variables
inferred← citeshttps://doi.org/10.1111/gean.12349openalex-snapshot
A Simulation Study to Explore Inference about Global Moran's I with Random Spatial Indexes
inferred← citeshttps://doi.org/10.1111/gean.12397openalex-snapshot
Flow Spatiotemporal Moran's I: Measuring the Spatiotemporal Autocorrelation of Flow Data
inferred← citeshttps://doi.org/10.1111/gean.70011openalex-snapshot
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights From Synthetic Data Validation
inferred← citeshttps://doi.org/10.1111/j.1467-9906.2011.00594.xopenalex-snapshot
Using Bayesian Methods to Control for Spatial Autocorrelation in Environmental Justice Research: An Illustration Using Toxics Release Inventory Data for a Sunbelt County
inferred← citeshttps://doi.org/10.1111/j.1538-4632.2009.00764.xopenalex-snapshot
Applying Measures of Spatial Autocorrelation: Computation and Simulation
inferred← citeshttps://doi.org/10.1111/j.1538-4632.2010.00809.xopenalex-snapshot
Aggregation of Regional Economic Time Series with Different Spatial Correlation Structures. 具有不同空间相关结构的区域经济时间序列集成
inferred← citeshttps://doi.org/10.1111/j.1538-4632.2011.00811.xopenalex-snapshot
A New Perspective about Moran's Coefficient: Spatial Autocorrelation as a Linear Regression Problem. Moran系数的新视角：空间自相关视为线性回归问题
inferred← citeshttps://doi.org/10.1111/pirs.12646openalex-snapshot
A Moran eigenvector spatial filtering specification of entropy measures
inferred← citeshttps://doi.org/10.1111/tgis.12020openalex-snapshot
Using Contextualized G eographically W eighted R egression to Model the Spatial Heterogeneity of Land Prices in B eijing, C hina
inferred← citeshttps://doi.org/10.1111/tgis.13042openalex-snapshot
Spatial autocorrelation mixtures in geospatial disease data: An important global epidemiologic/public health assessment ingredient?
inferred← citeshttps://doi.org/10.1177/2399808320987235openalex-snapshot
Emphasising spatial structure in geosocial media data using spatial amplifier filtering
inferred← citeshttps://doi.org/10.1371/journal.pone.0162360openalex-snapshot
Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis
inferred← citeshttps://doi.org/10.18381/eq.v16.i17158openalex-snapshot
Convergencia municipal en México con modelos de econometría espacial (1999-2014)
inferred← citeshttps://doi.org/10.18381/eq.v16i1.7158openalex-snapshot
Convergencia municipal en México con modelos de econometría espacial (1999-2014)
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4826537/v1openalex-snapshot
Conditional grants a way to bridge the inequality gap: A Spatial Analysis in Mexico
inferred← citeshttps://doi.org/10.2747/0272-3638.32.2.263openalex-snapshot
A Cartographic Analysis Using Spatial Filter Logistic Model Specifications for Implementing Mosquito Control in Kenya
inferred← citeshttps://doi.org/10.31428/10317/5593openalex-snapshot
Un análisis de la administración local en España: de los fenómenos de dependencia espacial en el gasto de los ayuntamientos a la política de city marketing
inferred← citeshttps://doi.org/10.3161/000164512x653908openalex-snapshot
Local and Landscape-Level Factors Affecting the Density and Distribution of the Feral PigeonColumba liviavar.domesticain an Urban Environment
inferred← citeshttps://doi.org/10.32614/rj-2014-026openalex-snapshot
ngspatial: A Package for Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data
inferred← citeshttps://doi.org/10.3390/geographies3030028openalex-snapshot
Understanding Spatial Autocorrelation: An Everyday Metaphor and Additional New Interpretations
inferred← citeshttps://doi.org/10.3390/ijerph15112406openalex-snapshot
Space-Time Statistical Insights about Geographic Variation in Lung Cancer Incidence Rates: Florida, USA, 2000–2011
inferred← citeshttps://doi.org/10.3390/stats2030027openalex-snapshot
Negative Spatial Autocorrelation: One of the Most Neglected Concepts in Spatial Statistics
inferred← citeshttps://doi.org/10.4081/gh.2010.201openalex-snapshot
Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space
inferred← citeshttps://doi.org/10.48550/arxiv.1706.04651openalex-snapshot
Spatial Regression and the Bayesian Filter
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Studying critical values for global Moran’s I under inhomogeneous Poisson point processes
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Does the Support of Innovative Clusters Sustainably Foster R&D Activity? Evidence from the German BioRegio and BioProfile Contests
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