D. Griffith

发表

Eigenfunction properties and approximations of selected incidence matrices employed in spatial analyses

D. Griffith, 2000 .

Trade-offs associated with normalizing constant computational simplifications for estimating spatial statistical models

D. Griffith, A. Sone, 1995 .

Embedded analytics: improving decision support for humanitarian logistics operations

Benjamin T. Hazen, Randy V. Bradley, Daniel A. Griffith, 2019, Ann. Oper. Res..

Statistical and mathematical sources of regional science theory: Map pattern analysis as an example ?

D. Griffith, 1999 .

Dynamic Central Place Theory: An Appraisal and Future Prospects

M. Sonis, D. Griffith, J. O. Huff, 1986 .

Estimating Spatial Autoregressive Model Parameters with Commercial Statistical Packages

D. Griffith, 2010 .

Spatial Autocorrelation

D. Griffith, 2020, Spatial Analysis Methods and Practice.

Space–Time Autocorrelation

D. Griffith, J. Paelinck, 2018 .

The Space of Gravity: Spatially Filtered Estimation of a Gravity Model for Bilateral Trade

D. Griffith, R. Patuelli, G. Linders, 2016 .

The Space of Gravity: Spatially Filtered Estimation of a Gravity Model for Bilateral Trade

Rodolfo Metulini, Roberto Patuelli, D. Griffith, 2015 .

On the quality of likelihood-based estimators in spatial autoregressive models when the data dependence structure is misspecified

Daniel A. Griffith, Francesco Lagona, D. Griffith, 1998 .

Correcting for Edge Effects in Spatial Statistical Analyses

D. Griffith, 1988 .

Space-Time Geostatistics for Geography: A Case Study of Radiation Monitoring Across Parts of Germany

Gerard B. M. Heuvelink, Daniel A. Griffith, G. Heuvelink, 2010 .

Lessons Learned from Case Studies on the Implementation of Geospatial Information Technologies

D. Griffith, W. Kainz, Y. Bédard, 2002 .

The Geographic Distribution of Soil Lead Concentration : Description and Concerns

D. Griffith, Y. Bédard, Yizhao Yang, 2002 .

Geometry and Spatial Interaction

D. Griffith, 1982 .

The Problem of Missing Data on Spatial Surfaces

R. Haining, D. Griffith, R. Bennett, 1984 .

Multivariate statistical analysis for geographers

D. Griffith, C. Amrhein, 1997 .

The boundary value problem in spatial statistical analysis.

D. Griffith, Daniel A. Griffith, 1983, Journal of regional science.

Maximum likelihood estimation with missing spatial data and with an application to remotely sensed data

R. Haining, D. Griffith, R. Bennett, 1989 .

A Casebook for Spatial Statistical Data Analysis: A Compilation of Different Thematic Data Sets

D. Griffith, L. Layne, 1999 .

Comparative Spatial Filtering in Regression Analysis

A. Getis, D. Griffith, 2002 .

Fire Data as Proxy for Anthropogenic Landscape Change in the Yucatán

J. Rogan, D. Griffith, B. Turner, 2017 .

Evaluating the transformation from a monocentric to a polycentric city.

D. Griffith, 1981 .

Effective Geographic Sample Size in the Presence of Spatial Autocorrelation

D. Griffith, 2005 .

Those gravity parameters again

E. Sheppard, D. Griffith, L. Curry, 1975 .

Explorations into the Relationship between Spatial Structure and Spatial Interaction

D. Griffith, K. G. Jones, 1980 .

GIS and Spatial Statistics/Econometrics: An Overview

D. Griffith, Y. Chun, 2018 .

From Spatial Analysis to Geospatial Science

B. Berry, D. Griffith, M. Tiefelsdorf, 2008 .

Spatial Autocorrelation and Spatial Filtering

D. Griffith, 2003 .

What is spatial autocorrelation? Reflections on the past 25 years of spatial statistics

D. Griffith, 1992 .

Spatial Autocorrelation: A Primer

D. Griffith, 1987 .

Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization

D. Griffith, 2010 .

Establishing Qualitative Geographic Sample Size in the Presence of Spatial Autocorrelation

D. Griffith, 2013 .

Developing user-friendly spatial statistical analysis modules for GIS: An example using ArcView

D. Griffith, Zhiqiang Zhang, 1997 .

Modeling Network Autocorrelation in Space–Time Migration Flow Data: An Eigenvector Spatial Filtering Approach

D. Griffith, Y. Chun, 2011 .

A quality assessment of eigenvector spatial filtering based parameter estimates for the normal probability model

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2014 .

Sampling desigh optimization for space-time kriging

Gerard B. M. Heuvelink, Daniel A. Griffith, Tomislav Hengl, 2012 .

Better Articulating Normal Curve Theory for Introductory Mathematical Statistics Students: Power Transformations and Their Back-Transformations

D. Griffith, 2013 .

Econometric Advances in Spatial Modelling and Methodology

J. Huriot, D. Griffith, C. Amrhein, 1998 .

Incorporating economic analysis into on-farm GIS.

P. C. Robert, R. H. Rust, W. E. Larson, 1995 .

Simulation Experimentation in Spatial Analysis

D. Griffith, 1988 .

Application of Geostatistics to Risk Assessment

Gary L Diamond, Daniel A Griffith, James M Hassett, 2003, Risk analysis : an official publication of the Society for Risk Analysis.

Non-standard Spatial Statistics and Spatial Econometrics

Daniel A. Griffith, Jean H. P. Paelinck, D. Griffith, 2011 .

A Variance-Stabilizing Coding Scheme for Spatial Link Matrices

Daniel A. Griffith, Michael Tiefelsdorf, Barry Boots, 1999 .

A spatial filtering specification for the auto-Poisson model

Daniel A. Griffith, D. Griffith, 2002 .

Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach

Daniel A. Griffith, Michael Tiefelsdorf, D. Griffith, 2007 .

Some robustness assessments of Moran eigenvector spatial filtering

Daniel A. Griffith, D. Griffith, 2017 .

Heterogeneity of attribute sampling error in spatial data sets

R. Haining, D. Griffith, G. Arbia, 2010 .

Geographical Analysis: Its First 40 Years

Daniel A. Griffith, Robert Haining, Morton E. O'Kelly, 2013 .

Spatial Filter Versus Conventional Spatial Model Specifications: Some Comparisons

D. Griffith, J. Paelinck, 2011 .

An equation by any other name is still the same: on spatial econometrics and spatial statistics

Daniel A. Griffith, Jean H. P. Paelinck, D. Griffith, 2007 .

Spatial Autocorrelation in Spatial Interaction

Daniel A. Griffith, D. Griffith, 2009 .

Low rank spatial econometric models

D. Griffith, H. Seya, D. Murakami, 2018, 1810.02956.

A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States

Daniel A Griffith, D. Griffith, 2005, International journal of health geographics.

SHAPE INDICES: USEFUL MEASURES OR RED HERRINGS?

Daniel A. Griffith, Michael P. O'Neill, Lloyd A. Leifer, 1986 .

Approximating the Inertia of the Adjacency Matrix of a Connected Planar Graph That Is the Dual of a Geographic Surface Partitioning

Daniel A. Griffith, Ulemu Luhanga, D. Griffith, 2011 .

SPATIAL AUTOCORRELATION and EIGENFUNCTIONS OF THE GEOGRAPHIC WEIGHTS MATRIX ACCOMPANYING GEO‐REFERENCED DATA

Daniel A. Griffith, D. Griffith, 1996 .

Areal Unit Configuration and Locational Information

D. Griffith, 1988 .

Spatial Regression Analysis on the PC: Spatial Statistics Using Sas

Daniel A. Griffith, D. Griffith, 1993 .

Distance calculations and errors in geographic databases

Daniel A. Griffith, D. Griffith, 1989 .

Impacts of positional error on spatial statistics confidence intervals

D. Griffith, Y. Chun, 2014 .

Spatial Autocorrelation and Random Effects in Digitizing Error

Daniel A. Griffith, D. Griffith, Ashbel . Smith, 2008 .

POSITIVE SPATIAL AUTOCORRELATION IMPACTS ON ATTRIBUTE VARIABLE FREQUENCY DISTRIBUTIONS

Daniel A. Griffith, D. Griffith, 2011 .

Ethical Considerations in Geographic Research: What Especially Graduate Students Need to Know

D. Griffith, 2008 .

Modeling Spatial Autocorrelation in Spatial Interaction Data: A Comparison of Spatial Econometric and Spatial Filtering Specifications

D. Griffith, M. Fischer, 2006 .

A heteroskedastic error covariance matrix estimator using a first-order conditional autoregressive Markov simulation for deriving asympotical efficient estimates from ecological sampled Anopheles arabiensis aquatic habitat covariates

D. Griffith, R. Novak, J. Githure, 2009, Malaria Journal.

DYNAMIC CHARACTERISTICS OF SPATIAL ECONOMIC SYSTEMS

Daniel A. Griffith, D. Griffith, 1982 .

Space-Time Statistical Insights about Geographic Variation in Lung Cancer Incidence Rates: Florida, USA, 2000–2011

D. Griffith, Y. Chun, Lan Hu, 2018, International journal of environmental research and public health.

The Missing Data Problem for a Two-Dimensional Surface

D. Griffith, 1988 .

Negative Spatial Autocorrelation: One of the Most Neglected Concepts in Spatial Statistics

D. Griffith, 2019, Stats.

Spatial Autocorrelation and Moran Eigenvector Spatial Filtering

D. Griffith, Y. Chun, 2019, Handbook of Regional Science.

Impacts of negative spatial autocorrelation on frequency distributions

D. Griffith, Y. Chun, 2018 .

Uncertainty and Context in Geography and GIScience: Reflections on Spatial Autocorrelation, Spatial Sampling, and Health Data

D. Griffith, 2018 .

Spatially Structured Random Effects: A Comparison of Three Popular Specifications

D. Griffith, J. Paelinck, 2011 .

An Introduction to Scientific Research Methods in Geography and Environmental Studies, 2nd ed. by Daniel R. Montello and Paul C. Sutton. Thousand Oaks, CA: SAGE, 2013, 314 pp.

Daniel A. Griffith, D. Griffith, 2013 .

A Review of “Seven Rules for Social Research”

D. Griffith, 2010 .

Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space.

D. Griffith, R. Novak, F. Krapp, 2010, Geospatial health.

Spatial Autocorrelation and the p-Median Problem

D. Griffith, J. Paelinck, 2018 .

Frequency Distributions for Simulated Spatially Autocorrelated Random Variables

D. Griffith, J. Paelinck, 2011 .

Temperature and assault in an urban environment: An empirical study in the city of Seoul, South Korea

D. Griffith, Y. Chun, Yeondae Jung, 2020 .

Colorectal cancer and socioeconomic status in Miami-Dade County: Neighborhood-level associations before and after the Welfare Reform Act

D. Griffith, L. Fleming, R. R. Chowdhury, 2011 .

A Cartographic Analysis Using Spatial Filter Logistic Model Specifications for Implementing Mosquito Control in Kenya

D. Griffith, R. Novak, D. Gathings, 2011 .

Geographical Systems and Systems of Geography

Daniel A. Griffith, D. Griffith, W. Coffey, 1988 .

Verhulst and Poisson Distributions

D. Griffith, J. Paelinck, 2011 .

Individual Versus Ecological Analyses

D. Griffith, J. Paelinck, 2011 .

Distances in Residential Space: Implications from Estimated Metric Functions for Minimum Path Distances

D. Griffith, J. Messina, I. Vojnovic, 2012 .

Deeper Spatial Statistical Insights into Small Geographic Area Data Uncertainty

D. Griffith, Y. Chun, Monghyeon Lee, 2020, International journal of environmental research and public health.

The United States Urban Hierarchy: An Update

D. Griffith, 2022, Frontiers in Sustainable Cities.

Impacts of Spatial Autocorrelation in Georeferenced Beta and Multinomial Random Variables

D. Griffith, Y. Chun, Lan Hu, 2020 .

Constrained variants of the gravity model and spatial dependence: model specification and estimation issues

D. Griffith, M. Fischer, 2013, J. Geogr. Syst..

Eigenvector Spatial Filtering for Large Data Sets: Fixed and Random Effects Approaches

D. Griffith, D. Murakami, 2017, 1702.06220.

Spatial Data Analysis Uncertainties Introduced by Selected Sources of Error

D. Griffith, Y. Chun, Monghyeon Lee, 2017 .

Selecting Spatial Regimes by Threshold Analysis

D. Griffith, J. Paelinck, 2011 .

Persistence of Regional Unemployment: Application of a Spatial Filtering Approach to Local Labor Markets in Germany

D. Griffith, P. Nijkamp, R. Patuelli, 2011 .

Persistent Disparities in Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany

D. Griffith, P. Nijkamp, R. Patuelli, 2010 .

Reciprocal Data Transformations and Their Back-Transforms

D. Griffith, 2022, Stats.

CONJECTURES AND EMPIRICAL IMPLICATIONS

D. Griffith, 2016 .

Space–Time Data and Semi-saturated Fixed Effects

D. Griffith, J. Paelinck, 2018 .

A Moran coefficient-based mixed effects approach to investigate spatially varying relationships

Y. Yamagata, D. Griffith, H. Seya, 2016, 1606.06885.

Temperature prediction based on a space–time regression-kriging model

D. Griffith, Hong Shu, Sha Li, 2019, Journal of applied statistics.

A Random-effects Regression Specification Using a Local Intercept Term and a Global Mean for Forecasting Malarial Prevalance

D. Griffith, R. Novak, D. Gunawardena, 2013 .

Some Remarks About the Future of Geographical Analysis : The Journal and the Sub‐Discipline

D. Griffith, 2018, Geographical Analysis.

Editor's Comments: Editor's Comments

D. Griffith, 2014 .

Incorporating spatial autocorrelation into house sale price prediction using random forest model

D. Griffith, Y. Chun, Lan Hu, 2022, Trans. GIS.

When Space Beats Time: A Proof of Concept with Hurricane Dean

D. Griffith, M. Millones, B. Parmentier, 2017 .

Some useful details about the Moran coefficient, the Geary ratio, and the join count indices of spatial autocorrelation

D. Griffith, Y. Chun, 2022, Journal of Spatial Econometrics.

Epidemiology, Cost, And Aircraft Choice For Aeromedical Evacuation In AFRICOM

D. Griffith, 2016 .

Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010

D. Griffith, Y. Chun, Lan Hu, 2020, Journal of Geographical Systems.

Balancing Spatial and Non‐Spatial Variation in Varying Coefficient Modeling: A Remedy for Spurious Correlation

D. Griffith, D. Murakami, 2020, Geographical Analysis.

Constrained variants of the gravity model and spatial dependence: model specification and estimation issues

D. Griffith, M. Fischer, 2013, Journal of Geographical Systems.

Selected Payback Statistical Contributions to Matrix/Linear Algebra: Some Counterflowing Conceptualizations

D. Griffith, 2022, Stats.

Validation of a Remote Sensing Model to Identify Simulium damnosum s.l. Breeding Sites in Sub-Saharan Africa

Moussa S. Sanfo, D. Griffith, R. Novak, 2013, PLoS neglected tropical diseases.

Time, Space, or Econotimespace?

D. Griffith, J. Paelinck, 2018 .

Statistical Analysis in the Presence of Spatial Autocorrelation: Selected Sampling Strategy Effects

D. Griffith, R. Plant, 2022, Stats.

Spatial autocorrelation for massive spatial data: verification of efficiency and statistical power asymptotics

D. Griffith, Huayi Wu, Qing Luo, 2019, Journal of Geographical Systems.

Embedded analytics: improving decision support for humanitarian logistics operations

Benjamin T. Hazen, Randy V. Bradley, Bradley C. Boehmke, 2017, Annals of Operations Research.

A Family of Correlated Observations: From Independent to Strongly Interrelated Ones

D. Griffith, 2020 .

Modeling Positional Uncertainty Acquired Through Street Geocoding

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2018, Int. J. Appl. Geospat. Res..

Risk remaining from fine particle contaminants after vacuum cleaning of hard floor surfaces

Daniel A Griffith, Andrew Hunt, D. Griffith, 2008, Environmental geochemistry and health.

Spatially varying coefficient models in real estate: Eigenvector spatial filtering and alternative approaches

Daniel A. Griffith, Marco Helbich, D. Griffith, 2016, Comput. Environ. Urban Syst..

Quasi-likelihood techniques in a logistic regression equation for identifying Simulium damnosum s.l. larval habitats intra-cluster covariates in Togo

Daniel A. Griffith, Robert J. Novak, Thomas R. Unnasch, 2012, Geo spatial Inf. Sci..

D. Griffith, 2014 .

Geospatial socio‐economic/demographic data: The existence of spatial autocorrelation mixtures in georeferenced data—Part I

D. Griffith, Khushboo Agarwal, Xiaohe Yu, 2021, Trans. GIS.

Geomapping generalized eigenvalue frequency distributions for predicting prolific Aedes albopictus and Culex quinquefasciatus habitats based on spatiotemporal field-sampled count data.

D. Griffith, R. Novak, B. Jacob, 2011, Acta tropica.

Filtering Complexity for Observational Errors and Spatial Bias

Daniel A. Griffith, Jean H. P. Paelinck, D. Griffith, 2011 .

Urban Economics: Geography and Spatial Dependence Matter to the Sustainability of Cities

D. Griffith, 2021, Frontiers in Sustainable Cities.

Error propagation in spatial modeling of public health data: a simulation approach using pediatric blood lead level data for Syracuse, New York

Yongwan Chun, Monghyeon Lee, Daniel A Griffith, 2018, Environmental Geochemistry and Health.

Modelling urban population density in a multi-centered city.

D A Griffith, D. Griffith, Daniel A. Griffith, 1981, Journal of urban economics.

Random effects specifications in eigenvector spatial filtering: a simulation study

Daniel A. Griffith, Daisuke Murakami, D. Griffith, 2015, J. Geogr. Syst..

Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)

Daniel A. Griffith, D. Griffith, 2008 .

Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses.

Daniel A Griffith, Pedro R Peres-Neto, D. Griffith, 2006, Ecology.

Advanced Spatial Statistics

Daniel A. Griffith, Luc Anselin, L. Anselin, 1988 .

The geographic distribution of metals in urban soils: the case of Syracuse, NY

D. Griffith, David L. Johnson, A. Hunt, 2009 .

Assessing Spatial Dependence in Count Data: Winsorized and Spatial Filter Specification Alternatives to the Auto‐Poisson Model

Daniel A. Griffith, D. Griffith, 2006 .

Modeling population density across major US cities: a polycentric spatial regression approach

Daniel A. Griffith, David W. S. Wong, David W. Wong, 2007, J. Geogr. Syst..

An evaluation of correction techniques for boundary effects in spatial statistical analysis: traditional methods

Daniel A. Griffith, Carl Amrhein, Carl Amrhein, 2010 .

Spatial autocorrelation informed approaches to solving location–allocation problems

D. Griffith, Y. Chun, Hyun Kim, 2022, Spatial Statistics.

A Spatial Filtering Specification for the Autologistic Model

Daniel A. Griffith, D. Griffith, 2004 .

Spatially varying coefficient modeling for large datasets: Eliminating N from spatial regressions

Daniel A. Griffith, Daisuke Murakami, D. Griffith, 2018, Spatial Statistics.

Approximation of Gaussian spatial autoregressive models for massive regular square tessellation data

Daniel A. Griffith, D. Griffith, 2015, Int. J. Geogr. Inf. Sci..

Selected Challenges From Spatial Statistics For Spatial Econometricians

D. Griffith, 2012 .

Quick but not so Dirty ML Estimation of Spatial Autoregressive Models

D. Griffith, 2009 .

Faster maximum likelihood estimation of very large spatial autoregressive models: an extension of the Smirnov–Anselin result

Daniel A. Griffith, D. Griffith, 2004 .

PRACTICAL HANDBOOK of Spatial Statistics

Daniel A. Griffith, Bin Li, David W. S. Wong, 1998 .

Simplifying the normalizing factor in spatial autoregressions for irregular lattices

Daniel A. Griffith, D. Griffith, 1992 .

The Moran coefficient for non-normal data

Daniel A. Griffith, D. Griffith, 2010 .

A Bayesian Poisson specification with a conditionally autoregressive prior and a residual Moran's coefficient minimization criterion for quantitating leptokurtic distributions in regression-based multi-drug resistant tuberculosis treatment protocols

D. Griffith, R. Novak, E. Gotuzzo, 2013 .

Art, Geography/GIScience, and Mathematics: A Surprising Interface

D. Griffith, 2022, Annals of the American Association of Geographers.

Integrating GIS and spatial data analysis: problems and possibilities

Michael F. Goodchild, Daniel A. Griffith, Robert Haining, 1992, Int. J. Geogr. Inf. Sci..

Toward a Theory of Spatial Statistics: Another Step Forward

Daniel A. Griffith, D. Griffith, 2010 .

Reflections on the current state of spatial statistics education in the United States: 2014

Daniel A. Griffith, D. Griffith, 2014, Geo spatial Inf. Sci..

Statistical Models for Spatial Data: Some Linkages and Communalities

D. Griffith, J. Paelinck, 2011 .

Spatial error propagation when computing linear combinations of spectral bands: The case of vegetation indices

Daniel A. Griffith, Giuseppe Arbia, Robert P. Haining, 2003, Environmental and Ecological Statistics.

Error Propagation Modelling in Raster GIS: Overlay Operations

Daniel A. Griffith, Robert Haining, Giuseppe Arbia, 1998, Int. J. Geogr. Inf. Sci..

Advanced Spatial Statistics for Analysing and Visualizing Geo-Referenced Data

Daniel A. Griffith, D. Griffith, 1993, Int. J. Geogr. Inf. Sci..

SUPERCOMPUTING AND SPATIAL STATISTICS: A RECONNAISSANCE*

Daniel A. Griffith, D. Griffith, 1990 .

Introduction to Spatial Statistics and Data Handling

Daniel A. Griffith, D. Griffith, 1988 .

Theory of Spatial Statistics

D. Griffith, 1984 .

Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters

Daniel A. Griffith, Yongwan Chun, Parmanand Sinha, 2016, J. Geogr. Syst..

Daniel A. Griffith, David W. S. Wong, Yongwan Chun, 2015 .

An eigenvector spatial filtering contribution to short range regional population forecasting

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2014 .

Impacts of Positional Error on Spatial Regression Analysis: A Case Study of Address Locations in Syracuse, New York

Daniel A. Griffith, Andrew Hunt, Matthew Vincent, 2007, Trans. GIS.

Spatial Statistics: Past, Present, and Future

Daniel A. Griffith, Kanti V. Mardia, Brian D. Ripley, 1990 .

Mass transfer of soil indoors by track-in on footwear.

Daniel A Griffith, Andrew Hunt, D. Griffith, 2006, The Science of the total environment.

Advanced Spatial Statistics: Special Topics in the Exploration of Quantitative Spatial Data Series

D. Griffith, Danial A. Griffith, 1988 .

Moran eigenvector filtering of multi‐year yield data with application to zone development

D. Griffith, D. Long, C. Kvien, 2021, Agrosystems, Geosciences & Environment.

The Importance of Scale in Spatially Varying Coefficient Modeling

Tomoki Nakaya, Daniel A. Griffith, Martin Charlton, 2017, Annals of the American Association of Geographers.

Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010

Daniel A. Griffith, Lan Hu, Yongwan Chun, 2020, J. Geogr. Syst..

Space-time cluster detection with cross-space-time relative risk functions

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2020, Cartography and Geographic Information Science.

A Multilevel Eigenvector Spatial Filtering Model of House Prices: A Case Study of House Sales in Fairfax County, Virginia

Daniel A. Griffith, Yongwan Chun, Lan Hu, 2019, ISPRS Int. J. Geo Inf..

Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data

Daniel A. Griffith, Peter Nijkamp, Michael Tiefelsdorf, 2010 .

A Moran eigenvector spatial filtering specification of entropy measures

D. Griffith, Y. Chun, Jan Hauke, 2021, Papers in Regional Science.

Modeling spatial heterogeneity with MESF

D. Griffith, Y. Chun, Bin Li, 2019, Spatial Regression Analysis Using Eigenvector Spatial Filtering.

The Relative Importance of Spatial and Temporal Autocorrelation

Daniel A. Griffith, Jean H. P. Paelinck, D. Griffith, 2018 .

Random effects specifications in eigenvector spatial filtering: a simulation study

D. Griffith, D. Murakami, 2015, Journal of Geographical Systems.

Spatial filtering and eigenvector stability

Daniel A. Griffith, Peter Nijkamp, Michael Tiefelsdorf, 2009 .

Specifying a joint space- and time-lag using a bivariate Poisson distribution

Daniel A. Griffith, Jean H. P. Paelinck, D. Griffith, 2009, J. Geogr. Syst..

A comparison of four model specifications for describing small heterogeneous space‐time datasets: Sugar cane production in Puerto Rico, 1958/59–1973/74*

Daniel A. Griffith, D. Griffith, 2008 .

The Use of Spatial Filtering Techniques: The Spatial and Space-Time Structure of German Unemployment Data

Daniel A. Griffith, Peter Nijkamp, Michael Tiefelsdorf, 2006 .

A linear regression solution to the spatial autocorrelation problem

Daniel A. Griffith, D. Griffith, 2000, J. Geogr. Syst..

Statistical analysis for geographers

Daniel A. Griffith, Carl Amrhein, Joseph R. Desloges, 1990 .

Evaluation of Environmental Data for Identification of Anopheles (Diptera: Culicidae) Aquatic Larval Habitats in Kisumu and Malindi, Kenya

D. Griffith, R. Novak, A. Githeko, 2005, Journal of medical entomology.

Describing Anopheles arabiensis aquatic habitats in two riceland agro-ecosystems in Mwea, Kenya using a negative binomial regression model with a non-homogenous mean.

Erick X. Caamano, D. Griffith, R. Novak, 2009, Acta tropica.

A Spatial Filtering Specification for an Auto‐negative Binomial Model of Anopheles arabiensis Aquatic Habitats

James L. Regens, Daniel A. Griffith, Robert J. Novak, 2008, Trans. GIS.

Decomposing Malaria Mosquito Aquatic Habitat Data into Spatial Autocorrelation Eigenvectors in a SAS/GIS® Module

Daniel A. Griffith, Robert J. Novak, Benjamin G. Jacob, 2008, Trans. GIS.

Exploring Relationships Between the Global and Regional Measures of Spatial Autocorrelation

Daniel A. Griffith, David W. S. Wong, D. Griffith, 2003 .

Spatial Structure and Spatial Interaction: A Review

Daniel A. Griffith, D. Griffith, 1976 .

Modeling Spatial Autocorrelation in Spatial Interaction Data: An Application to Patent Citation Data in the European Union

Manfred M. Fischer, Daniel A. Griffith, D. Griffith, 2008 .

A Casebook for Spatial Statistical Data Analysis: A Compilation of Analyses of Different Thematic Data Sets

Daniel A. Griffith, J. K. Ord, Akio Sone, 1999 .

A casebook for spatial statistical data analysis

Daniel A. Griffith, D. Griffith, 1999 .

Spatial Autocorrelation in Spatial Interactions Models: Geographic Scale and Resolution Implications for Network Resilience and Vulnerability

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2015 .

Tinbergen–Bos Systems: Combining Combinatorial Analysis with Metric Topology

D. Griffith, J. Paelinck, 2018 .

Pseudo R 2 Probablity Measures, Durbin Watson Diagnostic Statistics and Einstein Summations for Deriving Unbiased Frequentistic Inferences and Geoparameterizing Non-Zero First-Order Lag Autocorvariate Error in Regressed Multi-Drug Resistant Tuberculosis Time Series Estimators

D. Griffith, R. Novak, E. Gotuzzo, 2014 .

Evolving Geographical Structures

Daniel A. Griffith, D. Griffith, Anthony C. Lea, 1983 .

Seasonal variation in paediatric blood lead levels in Syracuse, NY, USA

Daniel Griffith, D. Griffith, David L. Johnson, 1996, Environmental geochemistry and health.

Modeling Community Health with Areal Data: Bayesian Inference with Survey Standard Errors and Spatial Structure

D. Griffith, Y. Chun, Connor Donegan, 2021, International journal of environmental research and public health.

Spatial-temporal modeling of initial COVID-19 diffusion: The cases of the Chinese Mainland and Conterminous United States

D. Griffith, Bin Li, 2021, Geo spatial Inf. Sci..

Spatial Structure and Spatial Interaction: 25 Years Later

Daniel A. Griffith, D. Griffith, 2007 .

Spatial interaction modeling

D. Griffith, Y. Chun, Bin Li, 2019, Spatial Regression Analysis Using Eigenvector Spatial Filtering.

On The Eigenvalue Distribution Of Adjacency Matrices For Connected Planar Graphs

D. Griffith, 2015 .

Modelling small area counts in the presence of overdispersion and spatial autocorrelation

Daniel A. Griffith, Robert Haining, Jane Law, 2009, Comput. Stat. Data Anal..

Spatial Autocorrelation and Uncertainty Associated with Remotely-Sensed Data

Daniel A. Griffith, Yongwan Chun, D. Griffith, 2016, Remote. Sens..

Imputed spatial data: Cautions arising from response and covariate imputation measurement error

D. Griffith, Yan-Ting Liau, 2020 .

Modeling spatial dependence in high spatial resolution hyperspectral data sets

Daniel A. Griffith, D. Griffith, 2002, J. Geogr. Syst..

Spatially simplified scatterplots for large raster datasets

Bin Li, Daniel A. Griffith, Brian Becker, 2016, Geo spatial Inf. Sci..

Statistical Analysis of Spatial Data in the Presence of Missing Observations: A Methodological Guide and an Application to Urban Census Data

D A Griffith, R J Bennett, R P Haining, 1989, Environment & planning A.

A STATISTICAL APPROACH TO THE PROBLEM OF MISSING SPATIAL DATA USING A FIRST‐ORDER MARKOV MODEL

Daniel A. Griffith, Robert Haining, Robert J. Bennett, 1984 .

Error Propagation Modeling in Raster GIS: Adding and Ratioing Operations

Daniel A. Griffith, Robert Haining, Giuseppe Arbia, 1999 .

Extreme eigenfunctions of adjacency matrices for planar graphs employed in spatial analyses

Daniel A. Griffith, D. Griffith, 2004 .

Optimal Map Classification Incorporating Uncertainty Information

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2017 .

Interpreting Moran Eigenvector Maps with the Getis-Ord Gi* Statistic

Daniel A. Griffith, D. Griffith, 2021 .

Geovisualizing attribute uncertainty of interval and ratio variables: A framework and an implementation for vector data

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2018, J. Vis. Lang. Comput..

Celebrating 40 Years of Scientific Impacts by Cliff and Ord

Daniel A. Griffith, D. Griffith, 2009 .

Detecting negative spatial autocorrelation in georeferenced random variables

Daniel A. Griffith, Giuseppe Arbia, D. Griffith, 2010, Int. J. Geogr. Inf. Sci..

Using Spatial Autocorrelation Analysis to Guide Mixed Methods Survey Sample Design Decisions

Daniel A. Griffith, Jennifer Wood, Timothy T. Brown, 2017 .

Important considerations about space‐time data: Modeling, scrutiny, and ratification

Daniel A. Griffith, D. Griffith, 2020, Trans. GIS.

A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade

Rodolfo Metulini, Roberto Patuelli, D. Griffith, 2016 .

Geography of asbestos contamination near the World Trade Center site

D. Griffith, G. Diamond, W. Thayer, 2007 .

Spatial autocorrelation and unorthodox random 4 variables: the uniform distribution

D. Griffith, 2022, Chilean Journal of Statistics.

Hidden negative spatial autocorrelation

Daniel A. Griffith, D. Griffith, 2006, J. Geogr. Syst..

Exploring relationships between semi-variogram and spatial autoregressive models

Daniel A. Griffith, Ferenc Csillag, D. Griffith, 1993 .

Generating random connected planar graphs

Daniel A. Griffith, D. Griffith, 2018, GeoInformatica.

Clustering: Spatial Autocorrelation and Location Quotients

D. Griffith, J. Paelinck, 2018 .

Uncertainty in the effects of the modifiable areal unit problem under different levels of spatial autocorrelation: a simulation study

Daniel A. Griffith, Sang-Il Lee, Yongwan Chun, 2018, Int. J. Geogr. Inf. Sci..

Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR)

Daniel A. Griffith, Yongwan Chun, Hyeongmo Koo, 2018, Trans. GIS.

The General Linear Model and Spatial Autoregressive Models

D. Griffith, 1995 .

Which spatial statistics techniques should be converted to GIS functions

Daniel A. Griffith, D. Griffith, 1993 .

A memory-free spatial additive mixed modeling for big spatial data

Daniel A. Griffith, Daisuke Murakami, D. Griffith, 2019, Japanese Journal of Statistics and Data Science.

Uncertainty and context in GIScience and geography: challenges in the era of geospatial big data

Daniel A. Griffith, Mei-Po Kwan, Yongwan Chun, 2019, Int. J. Geogr. Inf. Sci..

Beyond Mule Kicks: The Poisson Distribution in Geographical Analysis

Daniel A. Griffith, Robert Haining, R. Haining, 2006 .

Simulating Two-dimensional Autocorrelated Surfaces

Daniel A. Griffith, Robert Haining, Robert J. Bennett, 2010 .

Spatial Statistics in SAS

Daniel A. Griffith, Melissa J. Rura, D. Griffith, 2010 .

A . 2 Spatial Statistics in SAS

Melissa J. Rura, D. Griffith, 2010 .

Spatial Autocorrelation

D. Griffith, 2009, Encyclopedia of Database Systems.

Geographic sampling of urban soils for contaminant mapping: how many samples and from where

D. Griffith, 2008, Environmental geochemistry and health.

Integrating GIS components and spatial statistical analysis in DBMSs

Daniel A. Griffith, Zhiqiang Zhang, D. Griffith, 2000, Int. J. Geogr. Inf. Sci..

Exploring and simulating the regularities in intra-urban population density structure

Daniel A. Griffith, Jing Li, David W. S. Wong, 2009, Ann. GIS.

Spatial Autocorrelation: A Primer

D. Griffith, 1987 .

Spatial Filtering Methods for Tracing Space-Time Developments in an Open Regional System: Experiments with German Unemployment Data

Peter Nijkamp, Michael Tiefelsdorf, Roberto Patuelli, 2012 .

A Tale of Two Swaths: Urban Childhood Blood-Lead Levels across Syracuse, New York

Daniel A. Griffith, D. Griffith, David L. Johnson, 1998 .

Spatial Autocorrelation and Qualitative Sampling: The Case of Snowball Type Sampling Designs

D. Griffith, E. S. Morris, V. Thakar, 2016 .

The Role of Spatial Autocorrelation in Prioritizing Sites Within a Geographic Landscape

D. Griffith, J. Paelinck, 2011 .

SOME SIMPLIFICATIONS FOR THE EXPECTATION- MAXIMIZATION (EM) ALGORITHM: THE LINEAR REGRESSION MODEL CASE

Daniel A. Griffith, D. Griffith, Ashbel . Smith, 2010 .

Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic

D. Griffith, Y. Chun, Changho Lee, 2023, Spatial Statistics.

Positive spatial autocorrelation, mixture distributions, and geospatial data histograms

Daniel A. Griffith, D. Griffith, 2011, Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services.

Articulating Spatial Statistics and Spatial Optimization Relationships: Expanding the Relevance of Statistics

D. Griffith, 2021, Stats.

Central Place Structures Using Constant Elasticity of Substitution Demand Cones: The Infinite Plane

D. Griffith, 1986 .

Visualizing analytical spatial autocorrelation components latent in spatial interaction data: An eigenvector spatial filter approach

Daniel A. Griffith, D. Griffith, 2011, Comput. Environ. Urban Syst..

Modeling spatial autocorrelation in spatial interaction data: empirical evidence from 2002 Germany journey-to-work flows

Daniel A. Griffith, D. Griffith, 2009, J. Geogr. Syst..

Citywide distribution of lead and other element in soils and indoor dusts in Syracuse, NY

Daniel A. Griffith, Andrew Hunt, D. Griffith, 2012 .