Estimation of Moran's I in the Context of Uncertain Mobile Sensor Measurements

No abstract is available for this paper.

• Publication year

  2021

• Venue

  International Conference Geographic Information Science

• Publication date

  Unknown publication date

• Fields of study

  Mathematics, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.4230/LIPIcs.GIScience.2021.I.2
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Spatial Autocorrelation

  2020cited by this paper
• The impact of the spatial superimposition of point based statisticalconfigurations on assessing spatial autocorrelation

  2018cited by this paper
• Using a Dynamic Sensor Network to Obtain Spatiotemporal Data in an Urban Environment

  2018cited by this paper
• Spatial Autocorrelation Statistics of Areal Prevalence Rates under High Uncertainty in Denominator Data

  2018cited by this paper
• Extending Moran's Index for Measuring Spatiotemporal Clustering of Geographic Events

  2017cited by this paper
• Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues

  2017cited by this paper
• A statistical test on the local effects of spatially structured variance

  2017cited by this paper
• A novel convective-scale regional reanalysis COSMO-REA2: Improving the representation of precipitation;A novel convective-scale regional reanalysis COSMO-REA2: Improving the representation of precipitation

  2017cited by this paper
• Research on social media feeds – A GIScience perspective

  2016cited by this paper
• Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis

  2016cited by this paper
• Spatio-temporal autocorrelation measures for nonstationary series: A new temporally detrended spatio-temporal Moran's index

  2016cited by this paper
• Analytically Derived Neighborhoods in a Rapidly Growing West African City: The Case of Accra, Ghana.

  2015cited by this paper
• A local scale-sensitive indicator of spatial autocorrelation for assessing high- and low-value clusters in multiscale datasets

  2015cited by this paper
• Random Processes for Engineers

  2015cited by this paper
• Activity recognition with smartphone sensors

  2014cited by this paper
• Empirical prediction intervals revisited

  2014cited by this paper
• A note on the null distribution of the local spatial heteroscedasticity (LOSH) statistic

  2014cited by this paper
• An older view on distance perception: older adults perceive walkable extents as farther

  2013cited by this paper
• Spatial statistics and geostatistics: theory and applications for geographic information science and technology, by Yongwan Chun and Daniel A. Griffith, Thousand Oaks, CA, SAGE Publications, 2013, 181 pp., $47.70/£24.29 (paperback), ISBN 978-1-446-20174-9

  2013cited by this paper
• Local spatial heteroscedasticity (LOSH)

  2012cited by this paper
• Participatory Air Pollution Monitoring Using Smartphones

  2012cited by this paper
• A spatio-temporal measure of spatial dependence : an example using real estate data

  2011cited by this paper
• Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey

  2011cited by this paper
• Controlled mobility in mobile sensor networks: advantages, issues and challenges

  2011cited by this paper
• The Analysis of Spatial Association by Use of Distance Statistics

  2010cited by this paper
• Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

  2010cited by this paper
• Local Indicators of Spatial Association—LISA

  2010cited by this paper
• On Extreme Values of Moran's I and Geary's c

  2010cited by this paper
• Local Spatial Autocorrelation Statistics: Distributional Issues and an Application

  2010cited by this paper
• Spatial Weights Matrices

  2009cited by this paper
• Sex Differences in Cognitive Functions

  2009cited by this paper
• Decentralized Environmental Modeling by Mobile Sensor Networks

  2008cited by this paper
• Reflections on spatial autocorrelation

  2007cited by this paper
• Time-trend in Spatial Dependence: Specification Strategy in the First-order Spatial Autoregressive Model

  2007cited by this paper
• Animals as Mobile Biological Sensors for Forest Fire Detection

  2007cited by this paper
• Spatial abilities at different scales: Individual differences in aptitude-test performance and spatial-layout learning

  2006cited by this paper
• CarTel: a distributed mobile sensor computing system

  2006cited by this paper
• Tobler's First Law and Spatial Analysis

  2004cited by this paper
• Context Effects in Memory for Routes

  2003cited by this paper
• Environmental context-dependent memory: A review and meta-analysis

  2001cited by this paper
• The case for probabilistic forecasting in hydrology

  2001cited by this paper
• Real-time observation of tsunami by RTK-GPS

  2000cited by this paper
• A linear regression solution to the spatial autocorrelation problem

  2000cited by this paper
• A new proposal to adjust Moran's I for population density.

  1999cited by this paper
• Stochastic bounds on sums of dependent risks

  1999cited by this paper
• Geostatistics: Modeling Spatial Uncertainty

  1999cited by this paper
• A Variance-Stabilizing Coding Scheme for Spatial Link Matrices

  1999cited by this paper
• The Detection of Clusters Using a Spatial Version of the Chi‐Square Goodness‐of‐Fit Statistic

  1999cited by this paper
• GSTAT: a program for geostatistical modelling, prediction and simulation

  1998cited by this paper
• The spatial autocorrelation coefficient Moran's I under heteroscedasticity.

  1996cited by this paper
• Adjusting Moran's I for population density.

  1996cited by this paper
• Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics

  1995cited by this paper
• The Exact Distribution of Moran's I

  1995cited by this paper
• The analysis of regional patterns in health data. II. The power to detect environmental effects.

  1992cited by this paper
• The analysis of regional patterns in health data. I. Distributional considerations.

  1992cited by this paper
• Mapping disease and mortality rates using empirical Bayes estimators.

  1991cited by this paper
• Spatial Autocorrelation Analysis of Trend Residuals in Biological Data

  1989cited by this paper
• Estimates for the Distribution Function of a Sum of Two Random Variables When the Marginal Distributions are Fixed

  1982cited by this paper
• RANDOM VARIABLES WITH MAXIMUM SUMS

  1982cited by this paper
• The identification of regional forecasting models using space-time correlation

  1975cited by this paper
• Space-time modelling with an application to regional forecasting

  1975cited by this paper
• Stein's Estimation Rule and Its Competitors- An Empirical Bayes Approach

  1973cited by this paper
• A Simple Method for the Construction of Empirical Confidence Limits for Economic Forecasts

  1971cited by this paper
• A Computer Movie Simulating Urban Growth in the Detroit Region

  1970cited by this paper
• The Contiguity Ratio and Statistical Mapping

  1954cited by this paper
• Notes on continuous stochastic phenomena.

  1950cited by this paper
• Pervasive and Mobile Computing

  year unknowncited by this paper

• Detecting Spatial Dependence in Transcriptomics Data using Vectorised Persistence Diagrams

  2024cites this paper
• Studying critical values for global Moran's I under inhomogeneous Poisson point processes

  2023cites this paper