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2020 – today
- 2023
[j53]Alessio Del Conte
, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023)- [j52]Daniel A. Griffith:
Spatial autocorrelation mixtures in geospatial disease data: An important global epidemiologic/public health assessment ingredient? Trans. GIS 27(3): 730-751 (2023) - 2022
- [j51]Bin Li, Daniel A. Griffith:
The Moran Spectrum as a Geoinformatic Tupu: implications for the First Law of Geography. Ann. GIS 28(1): 69-83 (2022) - [j50]Daniel A. Griffith, Khushboo Agarwal, Meifang Chen, Changho Lee, Emily Ann Panetti, Kyunghee Rhyu, Lasya Venigalla, Xiaohe Yu:
Geospatial socio-economic/demographic data: The existence of spatial autocorrelation mixtures in georeferenced data - Part I. Trans. GIS 26(1): 72-87 (2022) - [j49]Daniel A. Griffith, Khushboo Agarwal, Meifang Chen, Changho Lee, Emily Ann Panetti, Kyunghee Rhyu, Lasya Venigalla, Xiaohe Yu:
Geospatial socio-economic/demographic data: The existence of spatial autocorrelation mixtures in georeferenced data - Part II. Trans. GIS 26(1): 88-99 (2022) - [j48]Lan Hu, Yongwan Chun, Daniel A. Griffith:
Incorporating spatial autocorrelation into house sale price prediction using random forest model. Trans. GIS 26(5): 2123-2144 (2022) - 2021
- [j47]Daniel A. Griffith, Bin Li:
Spatial-temporal modeling of initial COVID-19 diffusion: The cases of the Chinese Mainland and Conterminous United States. Geo spatial Inf. Sci. 24(3): 340-362 (2021) - [j46]Daniel A. Griffith:
Important considerations about space-time data: Modeling, scrutiny, and ratification. Trans. GIS 25(1): 291-310 (2021) - 2020
- [j45]Daniel A. Griffith:
A Spatial Analysis of Selected Art: a GIScience-Humanities Interface. Int. J. Humanit. Arts Comput. 14(1-2): 154-175 (2020) - [j44]Lan Hu, Yongwan Chun, Daniel A. Griffith:
Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000-2010. J. Geogr. Syst. 22(3): 291-308 (2020)
2010 – 2019
- 2019
- [j43]Daniel A. Griffith, Bradley Boehmke, Randy V. Bradley, Benjamin T. Hazen, Alan W. Johnson:
Embedded analytics: improving decision support for humanitarian logistics operations. Ann. Oper. Res. 283(1-2): 247-265 (2019) - [j42]Yongwan Chun, Mei-Po Kwan, Daniel A. Griffith:
Uncertainty and context in GIScience and geography: challenges in the era of geospatial big data. Int. J. Geogr. Inf. Sci. 33(6): 1131-1134 (2019) - [j41]Sang-Il Lee, Monghyeon Lee, Yongwan Chun, Daniel A. Griffith:
Uncertainty in the effects of the modifiable areal unit problem under different levels of spatial autocorrelation: a simulation study. Int. J. Geogr. Inf. Sci. 33(6): 1135-1154 (2019) - [j40]Daniel A. Griffith, Yongwan Chun:
Implementing Moran eigenvector spatial filtering for massively large georeferenced datasets. Int. J. Geogr. Inf. Sci. 33(9): 1703-1717 (2019) - [j39]Lan Hu, Yongwan Chun, Daniel A. Griffith:
A Multilevel Eigenvector Spatial Filtering Model of House Prices: A Case Study of House Sales in Fairfax County, Virginia. ISPRS Int. J. Geo Inf. 8(11): 508 (2019) - [j38]Qing Luo, Daniel A. Griffith, Huayi Wu:
Spatial autocorrelation for massive spatial data: verification of efficiency and statistical power asymptotics. J. Geogr. Syst. 21(2): 237-269 (2019) - [j37]Parmanand Sinha, Daniel A. Griffith:
Incorporating sprawl and adjacency measures in land-use forecasting model: A case study of Collin County, TX. Trans. GIS 23(4): 745-768 (2019) - 2018
- [j36]Daniel A. Griffith:
Generating random connected planar graphs. GeoInformatica 22(4): 767-782 (2018) - [j35]Hyeongmo Koo, Yongwan Chun, Daniel A. Griffith:
Modeling Positional Uncertainty Acquired Through Street Geocoding. Int. J. Appl. Geospat. Res. 9(4): 1-22 (2018) - [j34]Qing Luo, Daniel A. Griffith, Huayi Wu:
On the Statistical Distribution of the Nonzero Spatial Autocorrelation Parameter in a Simultaneous Autoregressive Model. ISPRS Int. J. Geo Inf. 7(12): 476 (2018) - [j33]Hyeongmo Koo, Yongwan Chun, Daniel A. Griffith:
Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR). Trans. GIS 22(3): 721-736 (2018) - [j32]Hyeongmo Koo, Yongwan Chun, Daniel A. Griffith:
Geovisualizing attribute uncertainty of interval and ratio variables: A framework and an implementation for vector data. J. Vis. Lang. Comput. 44: 89-96 (2018) - 2017
- [c3]Daniel A. Griffith, Bin Li:
A geocomputation and geovisualization comparison of Moran and Geary eigenvector spatial filtering. Geoinformatics 2017: 1-4 - [r2]Daniel A. Griffith, Arthur Getis:
Spatial Filtering. Encyclopedia of GIS 2017: 2018-2031 - [r1]Daniel A. Griffith:
Spatial Statistics and Geostatistics: Basic Concepts. Encyclopedia of GIS 2017: 2086-2100 - 2016
- [j31]Bin Li, Daniel A. Griffith, Brian Becker:
Spatially simplified scatterplots for large raster datasets. Geo spatial Inf. Sci. 19(2): 81-93 (2016) - [j30]Yongwan Chun, Daniel A. Griffith, Monghyeon Lee, Parmanand Sinha:
Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters. J. Geogr. Syst. 18(1): 67-85 (2016) - [j29]Daniel A. Griffith, Yongwan Chun:
Spatial Autocorrelation and Uncertainty Associated with Remotely-Sensed Data. Remote. Sens. 8(7): 535 (2016) - [j28]Marco Helbich, Daniel A. Griffith:
Spatially varying coefficient models in real estate: Eigenvector spatial filtering and alternative approaches. Comput. Environ. Urban Syst. 57: 1-11 (2016) - 2015
- [j27]Daniel A. Griffith:
Approximation of Gaussian spatial autoregressive models for massive regular square tessellation data. Int. J. Geogr. Inf. Sci. 29(12): 2143-2173 (2015) - [j26]Daisuke Murakami, Daniel A. Griffith:
Random effects specifications in eigenvector spatial filtering: a simulation study. J. Geogr. Syst. 17(4): 311-331 (2015) - 2014
- [j25]Daniel A. Griffith:
Reflections on the current state of spatial statistics education in the United States: 2014. Geo spatial Inf. Sci. 17(4): 229-235 (2014) - 2013
- [j24]Daniel A. Griffith, Manfred M. Fischer:
Constrained variants of the gravity model and spatial dependence: model specification and estimation issues. J. Geogr. Syst. 15(3): 291-317 (2013) - 2012
- [j23]Benjamin G. Jacob, Robert J. Novak, Laurent Toe, Moussa S. Sanfo, Abena N. Afriyie, Mohammed A. Ibrahim, Daniel A. Griffith, Thomas R. Unnasch:
Quasi-likelihood techniques in a logistic regression equation for identifying Simulium damnosum s.l. larval habitats intra-cluster covariates in Togo. Geo spatial Inf. Sci. 15(2): 117-133 (2012) - 2011
- [j22]Daniel A. Griffith:
Visualizing analytical spatial autocorrelation components latent in spatial interaction data: An eigenvector spatial filter approach. Comput. Environ. Urban Syst. 35(2): 140-149 (2011) - [c2]Daniel A. Griffith:
Positive spatial autocorrelation, mixture distributions, and geospatial data histograms. ICSDM 2011: 1-6 - 2010
- [j21]Daniel A. Griffith, Giuseppe Arbia:
Detecting negative spatial autocorrelation in georeferenced random variables. Int. J. Geogr. Inf. Sci. 24(3): 417-437 (2010) - [j20]Daniel A. Griffith:
Modeling spatio-temporal relationships: retrospect and prospect. J. Geogr. Syst. 12(2): 111-123 (2010) - [c1]Daniel A. Griffith, Gerard B. M. Heuvelink:
Deriving Space-Time Variograms from Space-Time Autoregressive (STAR) Model Specifications. SDH 2010: 3-12
2000 – 2009
- 2009
- [j19]Jing Li, David W. Wong, Daniel A. Griffith:
Exploring and simulating the regularities in intra-urban population density structure. Ann. GIS 15(1): 11-22 (2009) - [j18]Robert Haining, Jane Law, Daniel A. Griffith:
Modelling small area counts in the presence of overdispersion and spatial autocorrelation. Comput. Stat. Data Anal. 53(8): 2923-2937 (2009) - [j17]Daniel A. Griffith, Jean H. P. Paelinck:
Specifying a joint space- and time-lag using a bivariate Poisson distribution. J. Geogr. Syst. 11(1): 23-36 (2009) - [j16]Daniel A. Griffith:
Modeling spatial autocorrelation in spatial interaction data: empirical evidence from 2002 Germany journey-to-work flows. J. Geogr. Syst. 11(2): 117-140 (2009) - 2008
- [j15]Benjamin G. Jacob, Daniel A. Griffith, Robert J. Novak:
Decomposing Malaria Mosquito Aquatic Habitat Data into Spatial Autocorrelation Eigenvectors in a SAS/GIS® Module. Trans. GIS 12(3): 341-364 (2008) - [j14]Benjamin G. Jacob, Daniel A. Griffith, James T. Gunter, Ephantus J. Muturi, Erick X. Caamano, Josephat I. Shililu, John I. Githure, James L. Regens, Robert J. Novak:
A Spatial Filtering Specification for an Auto-negative Binomial Model of Anopheles arabiensis Aquatic Habitats. Trans. GIS 12(4): 515-539 (2008) - 2007
- [j13]Daniel A. Griffith, David W. Wong:
Modeling population density across major US cities: a polycentric spatial regression approach. J. Geogr. Syst. 9(1): 53-75 (2007) - [j12]Daniel A. Griffith, Marco Millones, Matthew Vincent, David L. Johnson, Andrew Hunt:
Impacts of Positional Error on Spatial Regression Analysis: A Case Study of Address Locations in Syracuse, New York. Trans. GIS 11(5): 655-679 (2007) - 2006
- [j11]Daniel A. Griffith:
Hidden negative spatial autocorrelation. J. Geogr. Syst. 8(4): 335-355 (2006) - 2004
- [j10]Daniel A. Griffith:
Spatial Statistics Through Applications. Edited by J. Mateu and F. Montes (Southampton: WIT press, 2002). [Pp. xx+345]. ISBN 1-85312-649-7. Hardback. Int. J. Geogr. Inf. Sci. 18(2): 207-208 (2004) - [j9]Daniel A. Griffith:
Distributional properties of georeferenced random variables based on the eigenfunction spatial filter. J. Geogr. Syst. 6(3): 263-288 (2004) - 2003
- [j8]Daniel A. Griffith:
Using Estimated Missing Spatial Data with the 2-Median Model. Ann. Oper. Res. 122(1-4): 233-247 (2003) - 2002
- [j7]Daniel A. Griffith:
Modeling spatial dependence in high spatial resolution hyperspectral data sets. J. Geogr. Syst. 4(1): 43-51 (2002) - 2000
- [j6]Zhiqiang Zhang, Daniel A. Griffith:
Integrating GIS components and spatial statistical analysis in DBMSs. Int. J. Geogr. Inf. Sci. 14(6): 543-566 (2000) - [j5]Daniel A. Griffith:
A linear regression solution to the spatial autocorrelation problem. J. Geogr. Syst. 2(2): 141-156 (2000)
1990 – 1999
- 1999
- [j4]Daniel A. Griffith, Zhiqiang Zhang:
Computational Simplifications Needed for Efficient Implementation of Spatial Statistical Techniques in a GIS. Ann. GIS 5(2): 97-105 (1999) - 1998
- [j3]Giuseppe Arbia, Daniel A. Griffith, Robert Haining:
Error Propagation Modelling in Raster GIS: Overlay Operations. Int. J. Geogr. Inf. Sci. 12(2): 145-167 (1998) - 1993
- [j2]Daniel A. Griffith:
Advanced Spatial Statistics for Analysing and Visualizing Geo-Referenced Data. Int. J. Geogr. Inf. Sci. 7(2): 107-123 (1993) - 1992
- [j1]Michael F. Goodchild, Robert Haining, Stephen Wise, Giuseppe Arbia, Luc Anselin, Earl G. Bossard, Chris Brunsdon, Peter Diggle, Robin Flowerdew, Mick Green, Daniel A. Griffith, Les Hepple, Thelma Krug, R. J. Martin, Stan Openshaw:
Integrating GIS and spatial data analysis: problems and possibilities. Int. J. Geogr. Inf. Sci. 6(5): 407-423 (1992)
Coauthor Index
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