Referências Bibliográficas
A González, Jonatan, and Paula Moraga. 2023. “Non-Parametric
Analysis of Spatial and Spatio-Temporal Point Patterns.”
Abdulah, Sameh, Yuxiao Li, Jian Cao, Hatem Ltaief, David E Keyes, Marc G
Genton, and Ying Sun. 2023. “Large-Scale Environmental Data
Science with ExaGeoStatR.” Environmetrics 34 (1): e2770.
Adin, Aritz, Tomás Goicoa, and Lola Ugarte. 2019. “Shiny Web
Application for Disease Mapping: Making Easy the Fit of Spatio-Temporal
Models.” In Proceedings of the UseR! 2019 Conference.
Toulouse, France: Public University of Navarre.
Anderson, Sean C, Eric J Ward, Philina A English, Lewis AK Barnett, and
James T Thorson. 2025. “sdmTMB: An r Package for Fast, Flexible,
and User-Friendly Generalized Linear Mixed Effects Models with Spatial
and Spatiotemporal Random Fields.” Journal of Statistical
Software 115: 1–46.
Anselin, Luc. 1988. “Spatial Econometrics: Methods and
Models.” Kluwer Academic Publishers Google Schola 2:
283–91.
———. 1995. “Local Indicators of Spatial Association—LISA.”
Geographical Analysis 27 (2): 93–115.
———. 2001. “Spatial Econometrics.” In A Companion to
Theoretical Econometrics, edited by Badi H. Baltagi, 310–30.
Oxford: Blackwell Publishing.
———. 2002. “Under the Hood Issues in the Specification and
Interpretation of Spatial Regression Models.” Agricultural
Economics 27 (3): 247–67.
———. 2010. “Thirty Years of Spatial Econometrics.”
Papers in Regional Science 89 (1): 3–26.
Baddeley, Adrian. 2007. “Validation of Statistical Models for
Spatial Point Patterns.” In Statistical Challenges in Modern
Astronomy IV, 371:22.
Baddeley, Adrian et al. 2008. “Analysing Spatial Point Patterns in
r.” Technical report, CSIRO, 2010. Version 4. Available at www.
csiro. au ….
Baddeley, Adrian. 2010. “Multivariate and Marked Point
Processes.” Handbook of Spatial Statistics, 371–402.
Baddeley, Adrian J, Jesper Møller, and Rasmus Waagepetersen. 2000.
“Non-and Semi-Parametric Estimation of Interaction in
Inhomogeneous Point Patterns.” Statistica Neerlandica 54
(3): 329–50.
Baddeley, Adrian J, and MNM Van Lieshout. 1995. “Area-Interaction
Point Processes.” Annals of the Institute of Statistical
Mathematics 47: 601–19.
Baddeley, Adrian J, MNM Van Lieshout, and Jesper Møller. 1996.
“Markov Properties of Cluster Processes.” Advances in
Applied Probability 28 (2): 346–55.
Baddeley, Adrian, Ya-Mei Chang, Yong Song, and Rolf Turner. 2013.
“Residual Diagnostics for Covariate Effects in Spatial Point
Process Models.” Journal of Computational and Graphical
Statistics 22 (4): 886–905.
Baddeley, Adrian, Tilman M Davies, Martin L Hazelton, Suman Rakshit, and
Rolf Turner. 2022. “Fundamental Problems in Fitting Spatial
Cluster Process Models.” Spatial Statistics 52: 100709.
Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point
Patterns: Methodology and Applications with R. London:
Chapman; Hall/CRC Press. https://www.routledge.com/Spatial-Point-Patterns-Methodology-and-Applications-with-R/Baddeley-Rubak-Turner/p/book/9781482210200/.
Baddeley, Adrian, and Rolf Turner. 2005. “spatstat: An R Package for Analyzing
Spatial Point Patterns.” Journal of Statistical Software
12 (6): 1–42. https://doi.org/10.18637/jss.v012.i06.
Baddeley, Adrian, Rolf Turner, Jorge Mateu, and Andrew Bevan. 2013.
“Hybrids of Gibbs Point Process Models and Their
Implementation.” Journal of Statistical Software 55
(11): 1–43. https://doi.org/10.18637/jss.v055.i11.
Baddeley, Adrian, Rolf Turner, Jesper Møller, and Martin Hazelton. 2005.
“Residual Analysis for Spatial Point Processes (with
Discussion).” Journal of the Royal Statistical Society Series
B: Statistical Methodology 67 (5): 617–66.
Baddeley, AJ, M Hazelton, J Møller, and R Turner. 2019. “Residuals
and Diagnostics for Spatial Point Processes.” In. Citeseer.
Bakar, Khandoker Shuvo, and Sujit K Sahu. 2015. “spTimer:
Spatio-Temporal Bayesian Modeling Using r.” Journal of
Statistical Software 63 (15): 1–32.
Bakka, Haakon, Håvard Rue, Geir-Arne Fuglstad, Andrea Riebler, David
Bolin, Janine Illian, Elias Krainski, Daniel Simpson, and Finn Lindgren.
2018. “Spatial Modeling with r-INLA: A Review.” Wiley
Interdisciplinary Reviews: Computational Statistics 10 (6): e1443.
Baltagi, Badi. 2008. Econometric Analysis of Panel Data. John
Wiley & Sons.
Bandyopadhyay, Soutir, and Suhasini Subba Rao. 2017. “A Test for
Stationarity for Irregularly Spaced Spatial Data.” Journal of
the Royal Statistical Society Series B: Statistical Methodology 79
(1): 95–123.
Banerjee, Sudipto. 2016. “Spatial Data Analysis.”
Annual Review of Public Health 37 (1): 47–60.
Banerjee, Sudipto, Bradley P Carlin, and Alan E Gelfand. 2003.
Hierarchical Modeling and Analysis for Spatial Data. Chapman;
Hall/CRC.
Bartholomew, David J. 1995. “What Is Statistics?”
Journal of the Royal Statistical Society Series A: Statistics in
Society 158 (1): 1–20.
Bates, Douglas, Martin Mächler, Ben Bolker, and Steve Walker. 2015.
“Fitting Linear Mixed-Effects Models Using Lme4.”
Journal of Statistical Software 67: 1–48.
Bell, William Wallace. 2004. Special Functions for Scientists and
Engineers. Courier Corporation.
Bernabeu, Alba, Jiancang Zhuang, and Jorge Mateu. 2024.
“Spatio-Temporal Hawkes
Point Processes: A
Review.” Journal of Agricultural, Biological and
Environmental Statistics.
Bernardinelli, L, D Clayton, C Pascutto, C Montomoli, M Ghislandi, and M
Songini. 1995. “Bayesian Analysis of Space–Time Variation in
Disease Risk.” Statistics in Medicine 14 (21-22):
2433–43.
Beron, Kurt J, and Wim PM Vijverberg. 2004. “Probit in a Spatial
Context: A Monte Carlo Analysis.” In Advances in Spatial
Econometrics: Methodology, Tools and Applications, 169–95.
Springer.
Besag, J. 1977. “Discussion of Dr Ripley’s Paper.”
Journal of the Royal Statistical Society, Series B 39 (2):
193–95.
Besag, Julian. 1974. “Spatial Interaction and the Statistical
Analysis of Lattice Systems.” Journal of the Royal
Statistical Society: Series B (Methodological) 36 (2): 192–225.
———. 1975. “Statistical Analysis of Non-Lattice Data.”
Journal of the Royal Statistical Society Series D: The
Statistician 24 (3): 179–95.
Besag, Julian, and Peter J Green. 1993. “Spatial Statistics and
Bayesian Computation.” Journal of the Royal Statistical
Society Series B: Statistical Methodology 55 (1): 25–37.
Besag, Julian, and Charles Kooperberg. 1995. “On Conditional and Intrinsic
Autoregression.” Biometrika 82 (4): 733–46. https://doi.org/10.2307/2337341.
Besag, Julian, Jeremy York, and Annie Mollié. 1991. “Bayesian
Image Restoration, with Two Applications in Spatial Statistics.”
Annals of the Institute of Statistical Mathematics 43 (1):
1–20.
Bevilacqua, Moreno, Carlo Gaetan, Jorge Mateu, and Emilio Porcu. 2012.
“Estimating Space and Space-Time Covariance Functions for Large
Data Sets: A Weighted Composite Likelihood Approach.” Journal
of the American Statistical Association 107 (497): 268–80.
Billé, Anna Gloria, and Giuseppe Arbia. 2019. “Spatial Limited
Dependent Variable Models: A Review Focused on Specification,
Estimation, and Health Economics Applications.” Journal of
Economic Surveys 33 (5): 1531–54.
Billé, Anna Gloria, and Samantha Leorato. 2020. “Partial ML
Estimation for Spatial Autoregressive Nonlinear Probit Models with
Autoregressive Disturbances.” Econometric Reviews 39
(5): 437–75.
Blangiardo, Marta, and Michela Cameletti. 2015. Spatial and
Spatio-Temporal Bayesian Models with r-INLA. John Wiley & Sons.
Boschma, Ron. 2005. “Proximity and Innovation: A Critical
Assessment.” Regional Studies 39 (1): 61–74.
Brunsdon, Chris, A Stewart Fotheringham, and Martin E Charlton. 1996.
“Geographically Weighted Regression: A Method for Exploring
Spatial Nonstationarity.” Geographical Analysis 28 (4):
281–98.
Burbano-Moreno, Alvaro Alexander, and Vinı́cius Diniz Mayrink. 2024.
“Spatial Functional Data Analysis: Irregular Spacing and Bernstein
Polynomials.” Spatial Statistics 60: 100832.
Burridge, Peter. 1980. “On the Cliff-Ord Test for Spatial
Correlation.” Journal of the Royal Statistical Society:
Series B (Methodological) 42 (1): 107–8.
———. 1981. “Testing for a Common Factor in a Spatial
Autoregression Model.” Environment and Planning A 13
(7): 795–800.
Calabrese, Raffaella, and Johan A Elkink. 2014. “Estimators of
Binary Spatial Autoregressive Models: A Monte Carlo Study.”
Journal of Regional Science 54 (4): 664–87.
Carvalho, Dhaniel, and CV Deutsch. 2017. “An Overview of Multiple
Indicator Kriging.” Geostatistics Lessons 7.
Casella, George, and Roger L Berger. 2001. Statistical
Inference. Duxbury.
Chen, Wanfang, Marc G Genton, and Ying Sun. 2021. “Space-Time
Covariance Structures and Models.” Annual Review of
Statistics and Its Application 8 (1): 191–215.
Cheng, Joe, Barret Schloerke, Bhaskar Karambelkar, Yihui Xie, and
Garrick Aden-Buie. 2025. Leaflet: Create Interactive Web Maps with
the JavaScript ’Leaflet’ Library. https://doi.org/10.32614/CRAN.package.leaflet.
Chiles, Jean-Paul, and Pierre Delfiner. 2012. Geostatistics:
Modeling Spatial Uncertainty. John Wiley & Sons.
Chun, Yongwan, and Daniel A. Griffith. 2017. “Measuring Spatial
Dependence.” International Encyclopedia of Geography,
March, 1–14. https://doi.org/10.1002/9781118786352.wbieg0850.
Clark, Philip J, and Francis C Evans. 1954. “Distance to Nearest
Neighbor as a Measure of Spatial Relationships in Populations.”
Ecology 35 (4): 445–53.
Cliff, Andrew David, and J Keith Ord. 1981. “Spatial Processes:
Models & Applications.” (No Title).
https://doi.org/https://doi.org/10.2307/2530324.
Conte, Bruno. 2023. “Lecture 02: Spatial Data Theory and Tools
(a.k.a. GIS Tools Lab.).” Alma Mater Studiorum Università di
Bologna; Lecture slides.
Cox, Simon Jonathan David. 2011. ISO 19156:2011 - Geographic
Information – Observations and Measurements. International
Organization for Standardization. https://doi.org/10.13140/2.1.1142.3042.
Crawford, T. W. 2009. “Scale Analytical.” In, 29–36.
Elsevier. https://doi.org/10.1016/b978-008044910-4.00399-0.
Cressie, N. 1993. Statistics for Patial Ata: Iley Eries in
Robability and Tatistics. Wiley-Interscience.
Cressie, Noel. 1985. “Fitting Variogram Models by Weighted Least
Squares.” Journal of the International Association for
Mathematical Geology 17 (5): 563–86.
———. 1989. “Geostatistics.” The American
Statistician 43 (4): 197–202.
———. 1990. “The Origins of Kriging.” Mathematical
Geology 22 (3): 239–52.
———. 1991. “Geostatistical Analysis of Spatial Data.”
Spatial Statistics and Digital Image Analysis 1991: 87–108.
———. 1993. Statistics for Spatial Data. John Wiley & Sons.
Cressie, Noel, and Ngai H Chan. 1989. “Spatial Modeling of
Regional Variables.” Journal of the American Statistical
Association 84 (406): 393–401.
Cressie, Noel, and Douglas M Hawkins. 1980. “Robust Estimation of
the Variogram: i.” Journal of the International Association
for Mathematical Geology 12 (2): 115–25.
Cressie, Noel, and Gardar Johannesson. 2008. “Fixed Rank Kriging
for Very Large Spatial Data Sets.” Journal of the Royal
Statistical Society Series B: Statistical Methodology 70 (1):
209–26.
Cressie, Noel, and Matthew T Moores. 2022. “Spatial
Statistics.” In Encyclopedia of Mathematical
Geosciences, 1–11. Springer.
Cressie, Noel, Matthew Sainsbury-Dale, and Andrew Zammit-Mangion. 2022.
“Basis-Function Models in Spatial Statistics.” Annual
Review of Statistics and Its Application 9 (1): 373–400.
Cressie, Noel, and Christopher K Wikle. 2011. Statistics for
Spatio-Temporal Data. Hoboken, NJ: John Wiley & Sons.
Cressie, Noel, and Andrew Zammit-Mangion. 2016. “Multivariate
Spatial Covariance Models: A Conditional Approach.”
Biometrika 103 (4): 915–35.
Cronie, O, and MNM Van Lieshout. 2016. “Bandwidth Selection for
Kernel Estimators of the Spatial Intensity Function.” arXiv
Preprint arXiv:1611.10221.
da Silva, Anderson R., and A. Stewart Fotheringham. 2016. “The
Multiple Testing Issue in Geographically Weighted Regression.”
Geographical Analysis 48 (3): 233–47.
da Silva, Anderson R., and Flávio F. Mendes. 2018. “On Comparing
Some Algorithms for Finding the Optimal Bandwidth in Geographically
Weighted Regression.” Applied Soft Computing 73: 943–57.
De Cesare, L, DE Myers, and D Posa. 2001. “Estimating and Modeling
Space-Time Correlation Structures.” Statistics &
Probability Letters 51 (1): 9–14.
Debarsy, Nicolas, Cem Ertur, and James P LeSage. 2012.
“Interpreting Dynamic Space-Time Panel Data Models.”
Statistical Methodology 9 (1-2): 158–71.
Delicado, Pedro, Ramón Giraldo, Carlos Comas, and Jorge Mateu. 2010.
“Statistics for Spatial Functional Data: Some Recent
Contributions.” Environmetrics: The Official Journal of the
International Environmetrics Society 21 (3-4): 224–39.
Deutsch, Clayton V., and André G. Journel. 1997. GSLIB:
Geostatistical Software Library and User’s Guide. 2nd ed. New York:
Oxford University Press.
Diggle, Peter J. 2005. “Spatio-Temporal Point
Processes: Methods and
Applications.” Johns Hopkins University, Dept.
Of Biostatistics Working Papers, no. 78.
———. 2010. Nonparametric Methods. Chapman & Hall/CRC Handb.
Mod. Stat. Methods.
———. 2013. Statistical Analysis of Spatial and Spatio-Temporal Point
Patterns. 3rd ed. CRC Press.
Diggle, Peter J, David J Gates, and Alyson Stibbard. 1987. “A
Nonparametric Estimator for Pairwise-Interaction Point
Processes.” Biometrika 74 (4): 763–70.
Diggle, Peter J, and Richard J Gratton. 1984. “Monte Carlo Methods
of Inference for Implicit Statistical Models.” Journal of the
Royal Statistical Society Series B: Statistical Methodology 46 (2):
193–212.
Diggle, Peter John. 2003. “Statistical Analysis of Spatial Point
Patterns.” In, 2nd ed.
Diggle, Peter J, Jonathan A Tawn, and Rana A Moyeed. 1998.
“Model-Based Geostatistics.” Journal of the Royal
Statistical Society Series C: Applied Statistics 47 (3): 299–350.
Dreesman, Johannes M, and Gerhard Tutz. 2001. “Non-Stationary
Conditional Models for Spatial Data Based on Varying
Coefficients.” Journal of the Royal Statistical Society:
Series D (The Statistician) 50 (1): 1–15.
Dunnington, Dewey. 2025. Ggspatial: Spatial Data Framework for
Ggplot2. https://doi.org/10.32614/CRAN.package.ggspatial.
Ecker, Mark D. 2003. “Geostatistics: Past, Present and
Future.” Encyclopedia of Life Support Systems (EOLSS),
50614–506.
Elhorst, J Paul. 2014. “Spatial Econometrics: From Cross-Sectional
Data to Spatial Panels.” Springer.
———. 2022. “The Dynamic General Nesting Spatial Econometric Model
for Spatial Panels with Common Factors: Further Raising the Bar.”
Review of Regional Research 42 (3): 249–67.
Fávero, Luiz Paulo Lopes. 2003. “Modelos de Preços
Hedônicos Aplicados a Imóveis Residenciais Em
Lançamento No Municı́pio de são
Paulo.” PhD thesis, Universidade de São Paulo.
Ferreira, Daniel Furtado. 2020. Fundamentos de Probabilidade.
Lavras: UFLA.
Fienberg, Stephen E. 2014. “What Is Statistics?” Annual
Review of Statistics and Its Application 1 (1): 1–9.
Figueira, Mario, David Conesa, and Antonio López-Quı́lez. 2024. “A
Shiny r App for Spatial Analysis of Species Distribution Models.”
Ecological Informatics 80: 102542.
Fleming, Mark M. 2004. “Techniques for Estimating Spatially
Dependent Discrete Choice Models.” In Advances in Spatial
Econometrics: Methodology, Tools and Applications, 145–68.
Springer.
Fotheringham, A Stewart, Ricardo Crespo, and Jing Yao. 2015.
“Geographical and Temporal Weighted Regression (GTWR).”
Geographical Analysis 47 (4): 431–52.
Fotheringham, A. Stewart, Wenbai Yang, and Wei Kang. 2017.
“Multiscale Geographically Weighted Regression (MGWR).”
Annals of the American Association of Geographers 107 (6):
1247–65. https://doi.org/10.1080/24694452.2017.1352480.
Fotheringham, A. Stewart, Hanchen Yu, Levi John Wolf, Taylor M. Oshan,
and Ziqi Li. 2022. “On the Notion of ‘Bandwidth’ in
Geographically Weighted Regression Models of Spatially Varying
Processes.” International Journal of Geographical Information
Science 36 (8): 1485–1502. https://doi.org/10.1080/13658816.2022.2034829.
Furrer, Reinhard, Marc G Genton, and Douglas Nychka. 2006.
“Covariance Tapering for Interpolation of Large Spatial
Datasets.” Journal of Computational and Graphical
Statistics 15 (3): 502–23.
Gabriel, Edith, Barry S Rowlingson, and Peter J Diggle. 2013.
“Stpp: An R Package for Plotting,
Simulating and Analyzing Spatio-Temporal Point Patterns.”
Journal of Statistical Software 53 (2): 1–29.
Gamerman, Dani, Hedibert Freitas Lopes, and Esther Salazar. 2008a.
“Spatial Dynamic Factor Analysis.”
———. 2008b. “Spatial Dynamic Factor Analysis.”
García-Portugués, E. 2024. Notes for Nonparametric Statistics.
https://bookdown.org/egarpor/NP-UC3M/.
Gatrell, Anthony C, Trevor C Bailey, Peter J Diggle, and Barry S
Rowlingson. 1996. “Spatial Point Pattern Analysis and Its
Application in Geographical Epidemiology.” Transactions of
the Institute of British Geographers, 256–74.
Gelfand, Alan E, Peter Diggle, Peter Guttorp, and Montserrat Fuentes.
2010. Handbook of Spatial Statistics. CRC press.
Gelman, Andrew. 2006. “Prior Distributions for Variance Parameters
in Hierarchical Models.” Bayesian Analysis 1 (3):
515–34.
Genton, Marc G. 1998. “Variogram Fitting by Generalized Least
Squares Using an Explicit Formula for the Covariance Structure.”
Mathematical Geology 30 (4): 323–45.
Getis, Arthur. 1995. “Cliff, Ad and Ord, Jk 1973: Spatial
Autocorrelation. London: Pion.” Progress in Human
Geography 19 (2): 245–49.
———. 1999. “Spatial Statistics.” Geographical
Information Systems 1: 239–51.
———. 2010. “Spatial Autocorrelation.” In Handbook of
Applied Spatial Analysis: Software Tools, Methods and Applications,
edited by Manfred M. Fischer and Arthur Getis, 255–78. Berlin,
Heidelberg: Springer.
Getis, Arthur, and J Keith Ord. 1992. “The Analysis of Spatial
Association by Use of Distance Statistics.” Geographical
Analysis 24 (3): 189–206.
Giraud, Timothée. 2025. “Mapsf: Thematic Cartography.”
Gneiting, Tilmann. 2002. “Nonseparable, Stationary Covariance
Functions for Space-Time Data.” Journal of the American
Statistical Association 97 (458): 590–600.
Goicoa, Tomás, Aritz Adin, Marı́a Dolores Ugarte, and James S Hodges.
2018. “In Spatio-Temporal Disease Mapping Models, Identifiability
Constraints Affect PQL and INLA Results.” Stochastic
Environmental Research and Risk Assessment 32: 749–70.
Gollini, Isabella, Binbin Lu, Martin Charlton, Christopher Brunsdon, and
Paul Harris. 2015. “GWmodel: An r Package for Exploring Spatial
Heterogeneity Using Geographically Weighted Models.” Journal
of Statistical Software 63: 1–50.
González, Jonatan A., Jorge Mateu, Nubia E. Céspedes, Erika A. Camacho,
and Luis C. Cervantes. 2024. “A Doubly Stochastic Point Process
Approach for Spatio-Temporal Dynamics of Crime Data.”
Statistical Modelling 25 (4): 343–65.
González, Jonatan A, and Paula Moraga. 2023. “Non-Parametric
Analysis of Spatial and Spatio-Temporal Point Patterns.” The
R Journal 15 (1): 65–82.
González, Jonatan A, Francisco J Rodrı́guez-Cortés, Ottmar Cronie, and
Jorge Mateu. 2016. “Spatio-Temporal Point Process Statistics: A
Review.” Spatial Statistics 18: 505–44.
Goovaerts, Pierre. 1997. Geostatistics for Natural Resources
Evaluation. Oxford university press.
Gorsich, David J, and Marc G Genton. 2000. “Variogram Model
Selection via Nonparametric Derivative Estimation.”
Mathematical Geology 32 (3): 249–70.
Gr"aler, Benedikt, Edzer Pebesma, and Gerard Heuvelink. 2016.
“Spatio-Temporal Interpolation Using Gstat.” The R
Journal 8 (1): 204–18.
Greene, William H. 2003. Econometric Analysis. 5th ed. Prentice
Hall.
Guimaraes, Ricardo JPS, Corina C Freitas, Luciano V Dutra, Carlos A
Felgueiras, Sandra C Drummond, Sandra HC Tibiriçá, Guilherme Oliveira,
and Omar S Carvalho. 2012. “Use of Indicator Kriging to
Investigate Schistosomiasis in Minas Gerais State, Brazil.”
Journal of Tropical Medicine 2012 (1): 837428.
Guo, L., Z. Ma, and L. Zhang. 2008. “Comparison of Bandwidth
Selection in Application of Geographically Weighted Regression: A Case
Study.” Canadian Journal of Forest Research 38 (9):
2526–34.
Guttorp, Peter, and Tilmann Gneiting. 2006. “Studies in the
History of Probability and Statistics XLIX on the Matérn
Correlation Family.” Biometrika 93 (4): 989–95.
Haining, Robert Haining, Stephen Wise, and Jingsheng Ma. 1998.
“Exploratory Spatial Data Analysis in a Geographic Information
System Environment.” Journal of the Royal Statistical Society
Series D: The Statistician 47 (3): 457–69.
Haining, Robert P. 2003. Spatial Data Analysis: Theory and
Practice. Cambridge university press.
Halleck Vega, Solmaria, and J Paul Elhorst. 2015. “The SLX
Model.” Journal of Regional Science 55 (3): 339–63.
Hannon, Bruce, and Matthias Ruth. 2001. Dynamic Modeling.
Springer Science & Business Media.
Harris, Richard, John Moffat, and Victoria Kravtsova. 2011. “In
Search of ‘w’.” Spatial Economic Analysis 6
(3): 249–70.
Harville, David A. 1977. “Maximum Likelihood Approaches to
Variance Component Estimation and to Related Problems.”
Journal of the American Statistical Association 72 (358):
320–38.
Hastie, Trevor, and Robert Tibshirani. 1990. Generalized Additive
Models. Monographs on Statistics and Applied Probability. London:
Chapman; Hall.
He, Zhanjun, Zhe Wang, Zhiqiang Xie, Lin Wu, and Zhen Chen. 2022.
“Multiscale Analysis of the Influence of Street Built Environment
on Crime Occurrence Using Street-View Images.” Computers,
Environment and Urban Systems 97: 101865. https://doi.org/10.1016/j.compenvurbsys.2022.101865.
Hefley, Trevor J, Mevin B Hooten, Ephraim M Hanks, Robin E Russell, and
Daniel P Walsh. 2017. “Dynamic Spatio-Temporal Models for Spatial
Data.” Spatial Statistics 20: 206–20.
Held, Leonhard, and Havard Rue. 2010. “Conditional and Intrinsic
Autoregressions.” Handbook of Spatial Statistics,
201–16.
Hepple, Leslie W. 1979. “Bayesian Analysis of the Linear Model
with Spatial Dependence.” In Exploratory and Explanatory
Statistical Analysis of Spatial Data, 179–99. Springer.
Hiemstra, P. H., E. J. Pebesma, C. J. W. Twenh"ofel, and G. B. M.
Heuvelink. 2008. “Real-Time Automatic Interpolation of Ambient
Gamma Dose Rates from the Dutch Radioactivity Monitoring
Network.” Computers & Geosciences.
Hijmans, Robert J. 2025. Geodata: Access Geographic Data. https://doi.org/10.32614/CRAN.package.geodata.
Hill, Donna. 1998. “Comparison of Median Indicator Kriging with
Full Indicator Kriging in the Analysis of Spatial Data.”
Hodges, James S, and Brian J Reich. 2010. “Adding
Spatially-Correlated Errors Can Mess up the Fixed Effect You
Love.” The American Statistician 64 (4): 325–34.
Hopkins, Brian, and John Gordon Skellam. 1954. “A New Method for
Determining the Type of Distribution of Plant Individuals.”
Annals of Botany 18 (2): 213–27.
Hu, Jinyu, Jiaxin Zhang, and Yunqin Li. 2022. “Exploring the
Spatial and Temporal Driving Mechanisms of Landscape Patterns on Habitat
Quality in a City Undergoing Rapid Urbanization Based on GTWR and MGWR:
The Case of Nanjing, China.” Ecological Indicators 143:
109333.
Huang, Bo, Bo Wu, and Michael Barry. 2010. “Geographically and
Temporally Weighted Regression for Modeling Spatio-Temporal Variation in
House Prices.” International Journal of Geographical
Information Science 24 (3): 383–401.
Hurvich, Clifford M., Jeffrey S. Simonoff, and Chih-Ling Tsai. 1998.
“Smoothing Parameter Selection in Nonparametric Regression Using
an Improved Akaike Information Criterion.” Journal of the
Royal Statistical Society: Series B (Statistical Methodology) 60
(2): 271–93.
Iliffe, Jonathan. 2000. Datums and Map Projections for Remote
Sensing, GIS, and Surveying. CRC Press.
Illian, Janine B. 2019. “Spatial and Spatio-Temporal Point
Processes in Ecological Applications.” In Handbook of
Environmental and Ecological Statistics, 97–131. Chapman; Hall/CRC.
Illian, Janine, Antti Penttinen, Helga Stoyan, and Dietrich Stoyan.
2008. Statistical Analysis and Modelling of Spatial Point
Patterns. John Wiley & Sons.
Isaaks, Edward H, R Mohan Srivastava, et al. 1989. “Applied
Geostatistics.”
Isham, Valerie. 2010. “Spatial Point Process Models.”
Handbook of Spatial Statistics, 283–98.
Jalilian, Abdollah, Yongtao Guan, and Rasmus Waagepetersen. 2013.
“Decomposition of Variance for Spatial Cox Processes.”
Scandinavian Journal of Statistics 40 (1): 119–37.
Jalilian, Abdollah, Amir Safari, and Hormoz Sohrabi. 2020.
“Modeling Spatial Patterns and Species Associations in a Hyrcanian
Forest Using a Multivariate Log-Gaussian Cox Process.”
Journal of Statistical Modelling: Theory and Applications 1
(2): 59–76.
Janssen, Volker. 2009. “Understanding Coordinate Reference
Systems, Datums and Transformations.”
Ji, Guangjun, Zizhao Cai, Keyan Xiao, Yan Lu, and Qian Wang. 2025.
“Ordered Indicator Kriging Interpolation Method with Field
Variogram Parameters for Discrete Variables in the Aquifers of
Quaternary Loose Sediments.” Water 17 (21): 3116.
Jong, Peter de, C Sprenger, and Frans van Veen. 1984. “On Extreme
Values of Moran’s i and Geary’s c.” Geographical
Analysis 16 (1): 17–24.
Journel, Andre G. 1986. “Constrained Interpolation and Qualitative
Information—the Soft Kriging Approach.” Mathematical
Geology 18 (3): 269–86.
Journel, Andre G, and Charles J Huijbregts. 1976. “Mining
Geostatistics.”
Journel, André G. 1983. “Nonparametric Estimation of Spatial
Distributions.” Journal of the International Association for
Mathematical Geology 15 (3): 445–68.
Juang, Kai-Wei, and Dar-Yuan Lee. 1998. “Simple Indicator Kriging
for Estimating the Probability of Incorrectly Delineating Hazardous
Areas in a Contaminated Site.” Environmental Science &
Technology 32 (17): 2487–93.
Kaplan, Elliott D, and Christopher Hegarty. 2017. Understanding
GPS/GNSS: Principles and Applications. Artech house.
Kapoor, Mudit, Harry H Kelejian, and Ingmar R Prucha. 2007. “Panel
Data Models with Spatially Correlated Error Components.”
Journal of Econometrics 140 (1): 97–130.
Keefe, Matthew J., Marcelo A. Ferreira, and Christopher T. Franck.
2018a. “On the Formal Specification of Sum-Zero Constrained
Intrinsic Conditional Autoregressive Models.” Spatial
Statistics 24: 54–65. https://doi.org/10.1016/j.spasta.2018.02.005.
Keefe, Matthew J., Marco A. R. Ferreira, and Christopher T. Franck.
2019. “Objective Bayesian Analysis for Gaussian Hierarchical
Models with Intrinsic Conditional Autoregressive Priors.”
Bayesian Analysis 14 (1): 181–209. https://doi.org/10.1214/18-BA1107.
Keefe, Matthew J, Marco AR Ferreira, and Christopher T Franck. 2018b.
“On the Formal Specification of Sum-Zero Constrained Intrinsic
Conditional Autoregressive Models.” Spatial Statistics
24: 54–65.
Keefe, Michael J., Marco A. R. Ferreira, and Christopher T. Franck.
2019. “Objective Bayesian Analysis for Gaussian Hierarchical
Models with Intrinsic Conditional Autoregressive Priors.”
Bayesian Analysis 14 (1): 181–209. https://doi.org/10.1214/18-BA1107.
Kelejian, Harry H, and Ingmar R Prucha. 1998. “A Generalized
Spatial Two-Stage Least Squares Procedure for Estimating a Spatial
Autoregressive Model with Autoregressive Disturbances.” The
Journal of Real Estate Finance and Economics 17 (1): 99–121.
———. 1999. “A Generalized Moments Estimator for the Autoregressive
Parameter in a Spatial Model.” International Economic
Review 40 (2): 509–33.
———. 2010. “Specification and Estimation of Spatial Autoregressive
Models with Autoregressive and Heteroskedastic Disturbances.”
Journal of Econometrics 157 (1): 53–67.
Kelejian, Harry, and Gianfranco Piras. 2017. Spatial
Econometrics. Academic Press.
Klier, Thomas, and Daniel P McMillen. 2008. “Clustering of Auto
Supplier Plants in the United States: Generalized Method of Moments
Spatial Logit for Large Samples.” Journal of Business &
Economic Statistics 26 (4): 460–71.
Knorr-Held, Leonhard. 2000. “Bayesian Modelling of Inseparable
Space-Time Variation in Disease Risk.” Statistics in
Medicine 19 (17-18): 2555–67.
Koç, Tufan. 2022. “Bandwidth Selection in Geographically Weighted
Regression Models via Information Complexity Criteria.”
Journal of Mathematics.
Krainski, Elias, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi,
Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren, and Håvard Rue.
2018. Advanced Spatial Modeling with Stochastic Partial Differential
Equations Using r and INLA. Chapman; Hall/CRC.
Krige, Danie, and Wynand Kleingeld. 2005. “The Genesis of
Geostatistics in Gold and Diamond Industries.” In Space,
Structure and Randomness: Contributions in Honor of Georges Matheron in
the Field of Geostatistics, Random Sets and Mathematical
Morphology, 5–16. Springer.
Kyriakidis, Phaedon C, and André G Journel. 1999. “Geostatistical
Space-Time Models: A Review.” Mathematical Geology 31
(6): 651–84.
Langley, Richard B et al. 1999. “Dilution of Precision.”
GPS World 10 (5): 52–59.
Lark, RM. 2000. “Estimating Variograms of Soil Properties by the
Method-of-Moments and Maximum Likelihood.” European Journal
of Soil Science 51 (4): 717–28.
Laslett, Geoffrey M. 1994. “Kriging and Splines: An Empirical
Comparison of Their Predictive Performance in Some Applications.”
Journal of the American Statistical Association 89 (426):
391–400.
Law, Jane, Matthew Quick, and Ping Chan. 2014. “Bayesian
Spatio-Temporal Modeling for Analysing Local Patterns of Crime over Time
at the Small-Area Level.” Journal of Quantitative
Criminology 30: 57–78.
Lee, Lung-fei, and Jihai Yu. 2010. “Estimation of Spatial
Autoregressive Panel Data Models with Fixed Effects.” Journal
of Econometrics 154 (2): 165–85.
Leick, Alfred, Lev Rapoport, and Dmitry Tatarnikov. 2015. GPS
Satellite Surveying. John Wiley & Sons.
Leininger, Thomas J. 2014. “Bayesian Analysis of Spatial Point
Patterns.” PhD thesis, Duke University.
LeSage, James P. 1997. “Bayesian Estimation of Spatial
Autoregressive Models.” International Regional Science
Review 20 (1-2): 113–29.
———. 2000. “Bayesian Estimation of Limited Dependent Variable
Spatial Autoregressive Models.” Geographical Analysis 32
(1): 19–35.
LeSage, James, and Robert Kelley Pace. 2009. Introduction to Spatial
Econometrics. Chapman; Hall/CRC.
Li, Habin, and James F Reynolds. 1994. “A Simulation Experiment to
Quantify Spatial Heterogeneity in Categorical Maps.”
Ecology 75 (8): 2446–55.
Liesenfeld, Roman, Jean-François Richard, and Jan Vogler. 2013.
“Analysis of Discrete Dependent Variable Models with Spatial
Correlation.” Economics Working Paper.
Lima, Renato Ribeiro de. 2005. “Modelagem Espaço
Temporal Para Dados de Incidência de Doenças
Em Plantas.” PhD thesis, Tese piracicaba-SP.
Lindgren, Finn, David Bolin, and Håvard Rue. 2022. “The SPDE
Approach for Gaussian and Non-Gaussian Fields: 10 Years and Still
Running.” Spatial Statistics 50: 100599.
Lindgren, Finn, and Håvard Rue. 2015. “Bayesian Spatial Modelling
with r-INLA.” Journal of Statistical Software 63: 1–25.
Lindgren, Finn, Håvard Rue, and Johan Lindstr"om. 2011. “An
Explicit Link Between Gaussian Fields and Gaussian Markov Random Fields:
The Stochastic Partial Differential Equation Approach.”
Journal of the Royal Statistical Society: Series B (Statistical
Methodology) 73 (4): 423–98.
Liu, Jun, K. W. Chau, and Zhen Bao. 2023. “Multiscale Spatial
Analysis of Metro Usage and Its Determinants for Sustainable Urban
Development in Shenzhen, China.” Tunnelling and Underground
Space Technology. https://doi.org/10.1016/j.tust.2022.104912.
Loonis, Vincent, and Marie-Pierre de Bellefon. 2018. “Handbook of
Spatial Analysis: Theory and Application with r.” Paris:
Eurostat, INSEE, 394.
Lu, Binbin, Martin Charlton, Paul Harris, and A Stewart Fotheringham.
2014. “Geographically Weighted Regression with a Non-Euclidean
Distance Metric: A Case Study Using Hedonic House Price Data.”
International Journal of Geographical Information Science 28
(4): 660–81.
Lu, Bo, Yong Ge, Yeqiao Shi, Jing Zheng, and Paul Harris. 2023.
“Uncovering Drivers of Community-Level House Price Dynamics
Through Multiscale Geographically Weighted Regression: A Case Study of
Wuhan, China.” Spatial Statistics 53: 100723. https://doi.org/10.1016/j.spasta.2022.100723.
Mallows, Cohn L. 1995. “More Comments on Cp.”
Technometrics 37 (4): 362–72.
Mallows, Colin L. 1973. “Some Comments on Cp.”
Technometrics 15 (4): 661–75. https://doi.org/10.1080/00401706.1973.10489103.
Marchant, BP, and RM Lark. 2007. “Robust Estimation of the
Variogram by Residual Maximum Likelihood.” Geoderma 140
(1-2): 62–72.
Martinetti, Davide, and Ghislain Geniaux. 2017. “Approximate
Likelihood Estimation of Spatial Probit Models.” Regional
Science and Urban Economics 64: 30–45.
Mateu, Jorge, and Ramón Giraldo. 2022. “Introduction to
Geostatistical Functional Data Analysis.” Geostatistical
Functional Data Analysis, 1–25.
Mateus, Ana Lúcia Souza Silva. 2013. “Proposição de Novas
Metodologias Para Análise de Aleatoriedade Em Processos Pontuais No
Espaço-Tempo.” Tese (Doutorado em Estatística e Experimentação
Agropecuária), Lavras: Universidade Federal de Lavras.
Matheron, G. 1963. “" Principles of Geostatistics", Economic
Geology, 58, Pp 1246-1266.”
Matheron, George. 1971. “The Theory of Regionalised Variables and
Its Applications.” Les Cahiers Du Centre de Morphologie
Mathématique 5: 212.
McBratney, AB, and R Webster. 1986. “Choosing Functions for
Semi-Variograms of Soil Properties and Fitting Them to Sampling
Estimates.” Journal of Soil Science 37 (4): 617–39.
McMillen, Daniel P. 1992. “Probit with Spatial
Autocorrelation.” Journal of Regional Science 32 (3):
335–48.
Medialdea Villanueva, Adriana. 2025. “Analysis and Modeling of
Spatio-Temporal Point Processes. Information Theory-Based Approaches and
Risk Assessment.” PhD Thesis, University of Granada.
Miao, Xin, Fang Fang, Xuening Zhu, and Hansheng Wang. 2025.
“Spatial Weights Matrix Selection and Model Averaging for
Multivariate Spatial Autoregressive Models.” Econometric
Reviews, 1–31.
Millo, Giovanni, and Gianfranco Piras. 2012. “Splm: Spatial Panel
Data Models in r.” Journal of Statistical Software 47
(1): 1–38.
Mocnik, Franz-Benjamin. 2023. “Why We Can Read Maps.”
Cartography and Geographic Information Science 50 (1): 1–19.
Mohammadpour, Mahyadin, Abbas Bahroudi, Maysam Abedi, Gholamreza
Rahimipour, Golnaz Jozanikohan, and Farzaneh Mami Khalifani. 2019.
“Geochemical Distribution Mapping by Combining Number-Size
Multifractal Model and Multiple Indicator Kriging.” Journal
of Geochemical Exploration 200: 13–26.
Mohler, George O, Martin B Short, P Jeffrey Brantingham, George E Tita,
and Frederic Paik Schoenberg. 2011. “Self-Exciting Point Process
Modeling of Crime.” Journal of the American Statistical
Association 106 (493): 100–108.
Moller, Jesper, and Rasmus Plenge Waagepetersen. 2003. Statistical
Inference and Simulation for Spatial Point Processes. CRC press.
Møller, Jesper, Anne Randi Syversveen, and Rasmus Plenge Waagepetersen.
1998. “Log Gaussian Cox
Processes.” Scandinavian Journal of Statistics 25 (3):
451–82.
Møller, Jesper, and Rasmus P Waagepetersen. 2007. “Modern
Statistics for Spatial Point Processes.” Scandinavian Journal
of Statistics 34 (4): 643–84.
Monmonier, Mark. 2005. “Lying with Maps.” Statistical
Science, 215–22.
Montero, José-Marı́a, Gema Fernández-Avilés, and Jorge Mateu. 2015.
Spatial and Spatio-Temporal Geostatistical Modeling and
Kriging. John Wiley & Sons.
Moraga, Paula. 2017. “SpatialEpiApp: A Shiny Web Application for
the Analysis of Spatial and Spatio-Temporal Disease Data.”
Spatial and Spatio-Temporal Epidemiology 23: 47–57.
———. 2023. Spatial Statistics for Data Science: Theory and Practice
with r. CRC Press.
Moran, Patrick AP. 1950. “Notes on Continuous Stochastic
Phenomena.” Biometrika 37 (1/2): 17–23.
Moreno, Alvaro Alexander Burbano et al. 2023. “Functional Data
Analysis: Spatial Association of Curves and Irregular Spacing.”
Morisita, Masaaki. 1959. “Measuring of the Dispersion of
Individuals and Analysis of the Distributional Patterns.”
Memoirs of the Faculty of Science, E 2, Kyushu Univ. Ser.
Myers, Donald E. 1994. “Spatial Interpolation: An
Overview.” Geoderma 62 (1-3): 17–28.
Nhancololo, A. M. 2024b. “Processos Pontuais Espaciais Univariados
Aplicados à Distribuição de Espécies Arbóreas Em Florestas
Naturais.” Dissertação (Mestrado em Estatística e Experimentação
Agropecuária), Lavras: Universidade Federal de Lavras.
———. 2024a. “Processos Pontuais Espaciais Univariados Aplicados à
Distribuição de Espécies Arbóreas Em Florestas Naturais.”
Dissertação (Mestrado em Estatística e Experimentação Agropecuária),
Lavras: Universidade Federal de Lavras.
Nhancololo, A. M., Wélson A. Oliveira, Fernandes A. C. Pereira, Bruno
Montoani Silva, and João Domingos Scalon. 2024. “Comparison
Between the Laboratory Method and the Stolf Penetrometer in Soil Density
Analysis: A Study Using Geostatistical Approaches.”
Sigmae 13 (1): 63–78. https://doi.org/10.29327/2520355.13.1-7.
Nightingale, Glenna F, Janine B Illian, Ruth King, and Peter
Nightingale. 2019. “Area Interaction Point Processes for Bivariate
Point Patterns in a Bayesian Context.” Journal of
Environmental Statistics 9 (2).
Ogata, Yosihiko. 1998. “Space-Time Point-Process Models for
Earthquake Occurrences.” Annals of the Institute of
Statistical Mathematics 50 (2): 379–402.
Okabe, Masahilo, and Masaharu Tanemura. 2006. “Bayesian Estimation
of Soft-Core Potential Models for Spatial Point Patterns.”
Journal of the Japan Statistical Society 36 (2): 121–47.
Oliveira, Wélson Antônio de, Rafaela de Carvalho Salvador, Alex Monito
Nhancololo, Miguel Gama Reis, José Márcio de Mello, and João Domingos
Scalon. 2025. “Spatial Characterization of Species Copaifera
Langsdorffii and Xylopia Brasiliensis Located in an Urban Forest
Fragment of the Atlantic Forest Domain.” Ciência
Rural 56 (1): e20240132.
Oliver, MA, and R Webster. 2014. “A Tutorial Guide to
Geostatistics: Computing and Modelling Variograms and Kriging.”
Catena 113: 56–69.
Openshaw, Stan. 1984. “The Modifiable Areal Unit Problem.”
Concepts and Techniques in Modern Geography.
Osgood-Zimmerman, Aaron, and Jon Wakefield. 2023. “A Statistical
Review of Template Model Builder: A Flexible Tool for Spatial
Modelling.” International Statistical Review 91 (2):
318–42.
Oshan, Taylor M., James P. Smith, and A. Stewart Fotheringham. 2020.
“Targeting the Spatial Context of Obesity Determinants via
Multiscale Geographically Weighted Regression.” International
Journal of Health Geographics 19 (1): 11. https://doi.org/10.1186/s12942-020-00204-8.
Paradis, Emmanuel. 2005. R for Beginners. https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf.
Parent, Olivier, and James P LeSage. 2012. “Spatial Dynamic Panel
Data Models with Random Effects.” Regional Science and Urban
Economics 42 (4): 727–38.
Paula, Gilberto A. 2013. “On Diagnostics in Double Generalized
Linear Models.” Computational Statistics & Data
Analysis 68: 44–51. https://doi.org/10.1016/j.csda.2013.07.003.
———. 2025. Modelos de Regressão e
Aplicações. São Paulo:
Instituto de Matemática e Estatı́stica,
Universidade de São Paulo.
Pebesma, Edzer. 2012. “Spacetime: Spatio-Temporal Data in
r.” Journal of Statistical Software 51 (7): 1–30.
———. 2018. “Simple Features for r: Standardized Support for
Spatial Vector Data.”
Pebesma, Edzer J. 2004. “Multivariable Geostatistics in s: The
Gstat Package.” Computers & Geosciences 30 (7):
683–91.
Pebesma, Edzer, and Roger Bivand. 2023. Spatial Data Science: With
Applications in r. Chapman; Hall/CRC.
Peng, Zhan, and Ryo Inoue. 2024. “Multiscale Continuous and
Discrete Spatial Heterogeneity Analysis: The Development of a Local
Model Combining Eigenvector Spatial Filters and Generalized Lasso
Penalties.” Geographical Analysis 56 (2): 303–27.
Pereira, Mario Figueira. 2025. “Dealing with High Complexity in
Spatio-Temporal Models.” PhD Thesis, València,
Spain: Universitat de València.
Pereira, Rafael HM, and Caio Nogueira Goncalves. 2024. “Geobr:
Download Official Spatial Data Sets of Brazil.” R Package
Version 1 (0): 18.
Pinkse, Joris, and Margaret E Slade. 1998. “Contracting in Space:
An Application of Spatial Statistics to Discrete-Choice Models.”
Journal of Econometrics 85 (1): 125–54.
Porcu, Emilio, Reinhard Furrer, and Douglas Nychka. 2020. “30
Years of Space–Time Covariance Functions.” Wiley
Interdisciplinary Reviews: Computational Statistics 13 (2): e1512.
Prestby, Timothy J. 2025. “Trust in Maps: What We Know and What We
Need to Know.” Cartography and Geographic Information
Science 52 (1): 1–18.
Raeisi, Morteza, Florent Bonneu, and Edith Gabriel. 2021. “A
Spatio-Temporal Multi-Scale Model for Geyer Saturation
Point Process: Application to Forest Fire
Occurrences.” Spatial Statistics 41: 100492.
Ramsay, James O, and Bernard W Silverman. 2005. Functional Data
Analysis. Springer.
Reich, Brian J, James S Hodges, and Vesna Zadnik. 2006. “Effects
of Residual Smoothing on the Posterior of the Fixed Effects in
Disease-Mapping Models.” Biometrics 62 (4): 1197–1206.
Ribeiro Jr, Paulo J, and Peter J Diggle. 2006. “geoR: Package for
Geostatistical Data Analysis an Illustrative Session.”
Artificial Intelligence 1: 1–24.
Ribeiro Jr, Paulo Justiniano, and Peter Diggle. 2025. geoR: Analysis
of Geostatistical Data. https://doi.org/10.32614/CRAN.package.geoR.
Richardson, Alice M, and Alan H Welsh. 1995. “Robust Restricted
Maximum Likelihood in Mixed Linear Models.” Biometrics,
1429–39.
Riebler, Andrea, Sigrunn H Sørbye, Daniel Simpson, and Håvard Rue. 2016.
“An Intuitive Bayesian Spatial Model for Disease Mapping That
Accounts for Scaling.” Statistical Methods in Medical
Research 25 (4): 1145–65.
Rigby, Robert A., Mikis D. Stasinopoulos, Gillian Z. Heller, and Frosso
De Bastiani. 2019. Distributions for Modeling Location, Scale, and
Shape: Using GAMLSS in R. Boca Raton:
Chapman; Hall/CRC.
Rue, Havard, and Leonhard Held. 2005. Gaussian Markov Random Fields:
Theory and Applications. Chapman; Hall/CRC.
Rue, Håvard, and Leonhard Held. 2005. Gaussian Markov Random Fields:
Theory and Applications. Chapman & Hall/CRC Monographs on
Statistics & Applied Probability. Boca Raton: Chapman; Hall/CRC.
Rue, Håvard, Sara Martino, and Nicolas Chopin. 2009. “Approximate
Bayesian Inference for Latent Gaussian Models by Using Integrated Nested
Laplace Approximations.” Journal of the Royal Statistical
Society: Series b (Statistical Methodology) 71 (2): 319–92.
Rue, Håvard, Andrea Riebler, Sigrunn H Sørbye, Janine B Illian, Daniel P
Simpson, and Finn K Lindgren. 2017. “Bayesian Computing with INLA:
A Review.” Annual Review of Statistics and Its
Application 4 (1): 395–421.
Sachdeva, Manish, A. Stewart Fotheringham, and Zhen Li. 2022. “Do
Places Have Value? Quantifying the Intrinsic Value of
Housing Neighborhoods Using MGWR.” Journal of
Housing Research 31 (1): 24–52.
Sahu, Sujit. 2022. Bayesian Modeling of Spatio-Temporal Data with
r. Chapman; Hall/CRC.
Scalon, João Domingos. 2024. Análise de Dados Espaciais Com
Aplicações Em r. Lavras: Ed. UFLA.
Scalon, João Domingos, Victor Ferreira da Silva, Wélson Antônio de
Oliveira, and Mateus Santos Peixoto. 2022. “Statistical
Characterization of Spatial and Size Distributions of Particles in
Composite Materials Used in the Manufacturing of Biomedical
Instruments.” Brazilian Journal of Biometrics 40 (4):
428–41.
Schmidt, Alexandra M, and Anthony O’Hagan. 2003. “Bayesian
Inference for Non-Stationary Spatial Covariance Structure via Spatial
Deformations.” Journal of the Royal Statistical Society
Series B: Statistical Methodology 65 (3): 743–58.
Schoenberg, Frederic Paik, David R Brillinger, and Peter Guttorp. 2002.
“Point Processes, Spatial–Temporal.” In Encyclopedia of
Environmetrics, edited by Abdel H. El-Shaarawi and Walter W.
Piegorsch, 3:1573–77. Wiley.
Schrödle, Birgit, and Leonhard Held. 2011. “Spatio-Temporal
Disease Mapping Using INLA.” Environmetrics 22 (6):
725–34.
Sigrist, Fabio, Hans R Künsch, and Werner A Stahel. 2015.
“Stochastic Partial Differential Equation Based Modelling of Large
Space–Time Data Sets.” Journal of the Royal Statistical
Society: Series B (Statistical Methodology) 77 (1): 3–33.
Siino, Marianna, Giada Adelfio, and Jorge Mateu. 2018. “Joint
Second-Order Parameter Estimation for Spatio-Temporal
Log-Gaussian Cox Processes.”
Stochastic Environmental Research and Risk Assessment 32:
3525–39.
Simpson, Daniel, Janine B Illian, Finn Lindgren, Sigrunn H Sørbye, and
Håvard Rue. 2015. “Going Off Grid: Computationally
Efficient Inference for Log-Gaussian Cox
Processes.” Biometrika 103 (1): 49–70.
Simpson, Daniel, Håvard Rue, Andrea Riebler, Thiago G Martins, and
Sigrunn H Sørbye. 2017. “Penalising Model Component Complexity: A
Principled, Practical Approach to Constructing Priors.”
Slowikowski, Kamil. 2024. Ggrepel: Automatically Position
Non-Overlapping Text Labels with ’Ggplot2’. https://doi.org/10.32614/CRAN.package.ggrepel.
Snyder, John Parr. 1987. Map Projections–a Working Manual. Vol.
1395. US Government Printing Office.
Sørbye, Sigrunn Holbek, and Håvard Rue. 2017. “Penalised
Complexity Priors for Stationary Autoregressive Processes.”
Journal of Time Series Analysis 38 (6): 923–35.
Sørbye, Sigrunn H., and Håvard Rue. 2014. “Scaling Intrinsic
Gaussian Markov Random Field Priors in Spatial Modelling.”
Spatial Statistics 8: 39–51. https://doi.org/10.1016/j.spasta.2013.06.004.
Stasinopoulos, Mikis D., Thomas Kneib, Nadja Klein, Andreas Mayr, and
Gillian Z. Heller. 2024. Generalized Additive Models for Location,
Scale and Shape: A Distributional Regression Approach, with
Applications. Vol. 56. Cambridge: Cambridge University Press.
Stasinopoulos, Mikis D., Robert A. Rigby, Gillian Z. Heller, Vlasios
Voudouris, and Frosso De Bastiani. 2017. Flexible Regression and
Smoothing: Using GAMLSS in R. Chapman
& Hall/CRC Texts in Statistical Science. Boca Raton: CRC Press.
Stroud, Jonathan R, Peter Müller, and Bruno Sansó. 2001. “Dynamic
Models for Spatiotemporal Data.” Journal of the Royal
Statistical Society: Series B (Statistical Methodology) 63 (4):
673–89.
Sun, Dennis. 2014. “Lecture 10:
Spatio-Temporal Point
Processes.” Course Stats 253, Stanford University.
Suster, Carl. 2024. Ggmapinset: Add Inset Panels to Maps. https://doi.org/10.32614/CRAN.package.ggmapinset.
Taylor, Benjamin M, Tilman M Davies, Barry S Rowlingson, and Peter J
Diggle. 2013. “Lgcp: An R
Package for Inference with
Spatial and Spatio-Temporal
Log-Gaussian Cox
Processes.” Journal of Statistical Software
52 (4): 1–40.
Tiefelsdorf, Michael. 2000. Modelling Spatial Processes: The
Identification and Analysis of Spatial Relationships in Regression
Residuals by Means of Moran’s i. Springer.
Tobias, Justin L. 2024. “A Note on the Cowles-EM Algorithm for
Bayesian Ordinal Probit Models.” Research in Statistics
3 (1): 2476409.
Tobler, Waldo R. 1970. “A Computer Movie Simulating Urban Growth
in the Detroit Region.” Economic Geography 46 (sup1):
234–40.
Ugarte, Marı́a Dolores, Aritz Adin, Tomas Goicoa, and Ana Fernandez
Militino. 2014. “On Fitting Spatio-Temporal Disease Mapping Models
Using Approximate Bayesian Inference.” Statistical Methods in
Medical Research 23 (6): 507–30.
Ungaro, F, F Ragazzi, R Cappellin, and P Giandon. 2008. “Arsenic
Concentration in the Soils of the Brenta Plain (Northern Italy): Mapping
the Probability of Exceeding Contamination Thresholds.”
Journal of Geochemical Exploration 96 (2-3): 117–31.
Unwin, David J, and Leslie W Hepple. 1974. “The Statistical
Analysis of Spatial Series.” Journal of the Royal Statistical
Society: Series D (The Statistician) 23 (3-4): 211–27.
Van Lieshout, MNM, and AJ1422574 Baddeley. 1996. “A Nonparametric
Measure of Spatial Interaction in Point Patterns.” Statistica
Neerlandica 50 (3): 344–61.
Vanicek, Petr, and Edward J Krakiwsky. 2015. Geodesy: The
Concepts. Elsevier.
Venables, W. N., D. M. Smith, and R Core Team. 2015. An Introduction
to r. Vienna, Austria: R Foundation for Statistical Computing. https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf.
Ver Hoef, Jay M, and Ronald Paul Barry. 1998. “Constructing and
Fitting Models for Cokriging and Multivariable Spatial
Prediction.” Journal of Statistical Planning and
Inference 69 (2): 275–94.
Ver Hoef, Jay M, Ephraim M Hanks, and Mevin B Hooten. 2018. “On
the Relationship Between Conditional (CAR) and Simultaneous (SAR)
Autoregressive Models.” Spatial Statistics 25: 68–85.
Waagepetersen, Rasmus, and Yongtao Guan. 2009. “Two-Step
Estimation for Inhomogeneous Spatial Point Processes.”
Journal of the Royal Statistical Society Series B: Statistical
Methodology 71 (3): 685–702.
Wackernagel, Hans. 2003. Multivariate Geostatistics: An Introduction
with Applications. Springer Science & Business Media.
Wagner, Helene H, and Marie-Josée Fortin. 2005. “Spatial Analysis
of Landscapes: Concepts and Statistics.” Ecology 86 (8):
1975–87.
Wall, Melanie M. 2004. “A Close Look at the Spatial Structure
Implied by the CAR and SAR Models.” Journal of Statistical
Planning and Inference 121 (2): 311–24.
Waller, Lance A. 2024. “Maps: A Statistical View.”
Annual Review of Statistics and Its Application 11.
Wang, Jane-Ling, Jeng-Min Chiou, and Hans-Georg Müller. 2016.
“Functional Data Analysis.” Annual Review of Statistics
and Its Application 3 (1): 257–95.
Wang, Xiaokun, and Kara M Kockelman. 2009. “Baysian Inference for
Ordered Response Data with a Dynamic Spatial-Ordered Probit
Model.” Journal of Regional Science 49 (5): 877–913.
Wheeler, David, and Michael Tiefelsdorf. 2005. “Multicollinearity
and Correlation Among Local Regression Coefficients in Geographically
Weighted Regression.” Journal of Geographical Systems 7
(2): 161–87. https://doi.org/10.1007/s10109-005-0155-6.
Whittle, Peter. 1954. “On Stationary Processes in the
Plane.” Biometrika, 434–49.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data
Analysis. 2nd ed. Springer-Verlag New York.
———. 2019. Advanced r. 2nd ed. CRC Press.
Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023.
R for Data Science: Import, Tidy, Transform, Visualize, and Model
Data. 2nd ed. O’Reilly Media.
Wiegand, Thorsten, and Kirk A Moloney. 2014. Handbook of Spatial
Point-Pattern Analysis in Ecology. CRC press.
Wikle, Christopher K, Andrew Zammit-Mangion, and Noel Cressie. 2019.
Spatio-Temporal Statistics with r. Chapman; Hall/CRC.
Wild, Christopher J, Jessica M Utts, and Nicholas J Horton. 2017.
“What Is Statistics?” In International Handbook of
Research in Statistics Education, 5–36. Springer.
Wilhelm, Stefan, and Miguel Godinho de Matos. 2013. “Estimating
Spatial Probit Models in r.”
Wood, Simon N. 2025. “Generalized Additive Models.”
Annual Review of Statistics and Its Application 12 (1):
497–526.
Wu, Chao, Fu Ren, Wei Hu, and Qingyun Du. 2019. “Multiscale
Geographically and Temporally Weighted Regression: Exploring the
Spatiotemporal Determinants of Housing Prices.” International
Journal of Geographical Information Science 33 (3): 489–511.
Yamamoto, Jorge Kazuo, and Paulo M. Barbosa Landim. 2013.
Geoestatística: Conceitos e Aplicações. São Paulo: Oficina de
Textos.
Yang, Wenbai, A. Stewart Fotheringham, and Paul Harris. 2011. “An
Extension of Geographically Weighted Regression with Flexible
Bandwidths.” In Proceedings of an International Conference on
Spatial Analysis and Modelling. St Andrews, Scotland, UK.
Yang, Wenbo. 2014. “An Extension of Geographically Weighted
Regression with Flexible Bandwidths.” PhD thesis, University of
St Andrews.
Yu, Hanchen, A. Stewart Fotheringham, Zhen Li, Taylor M. Oshan, Wei
Kang, and Levi J. Wolf. 2020. “Inference in Multiscale
Geographically Weighted Regression.” Geographical
Analysis 52 (1): 87–106.
Yu, Huili, A. Stewart Fotheringham, Zhenlong Li, Taylor M. Oshan, and
Levi J. Wolf. 2020. “On the Measurement of Bias in Geographically
Weighted Regression Models.” Spatial Statistics 38:
100453. https://doi.org/10.1016/j.spasta.2020.100453.
Yu, Jihai, Robert de Jong, and Lung-fei Lee. 2008. “Quasi-Maximum
Likelihood Estimators for Spatial Dynamic Panel Data with Fixed Effects
When Both n and t Are Large.” Journal of Econometrics
146 (1): 118–34.
Zhang, Xinyu, and Jihai Yu. 2018. “Spatial Weights Matrix
Selection and Model Averaging for Spatial Autoregressive Models.”
Journal of Econometrics 203 (1): 1–18.