References
Anselin, Luc. 1995. “Local Indicators of Spatial Association-LISA.” Geographical Analysis 27. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x.
———. 2005. Exploring Spatial Data with GeoDaTM : A Workbook. 1st ed. Center for Spatially Integrated Social Science.
———. 2020. “Contiguity-Based Spatial Weights.” GeoDa Workbook. https://geodacenter.github.io/workbook/4a_contig_weights/lab4a.html#principle.
Anselin, Luc, and Grant Morrison. 2018. “Basic Mapping. R Notes.” Tutorials. R Spatial Workshop Notes. Introduction to Spatial Data Science.
Anselin, Luc, and Sergio J Rey. 2014. Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL. GeoDa Press LLC.
Asuad, Normand. 2001. Economía Regional y Urbana: Introducción a Las Teorías, Técnicas y Metodologías Básicas. Science. 1st ed. Universidad Autónoma de Puebla.
Chasco, Coro Yrigoyen. 2003. “Econometría Espacial Aplicada a La Predicción-Extrapolación de Datos Microterritoriales.” Consejería de Economía e Innovación Tecnológica.
Cliff, A. D., P. Haggett, J. K. Ord, and G. R. Versey. 1981. “Spatial Diffusion: An Historical Geography of Epidemics in an Island Community ( Iceland).” Spatial Diffusion: An Historical Geography of Epidemics in an Island Community ( Iceland). https://doi.org/10.1016/0305-7488(82)90016-0.
Croarkin, C, and P Tobias. 2014. “NIST/SEMATECH e-Handbook of Statistical Methods.” Retrieved January 1.
Dalpiaz, David. 2022. “Applied Statistics with r.” http://daviddalpiaz.github.io/appliedstats/.
Elhorst, J. Paul. 2006. Spatial Econometrics: From Cross Sectional Data to Spatial Panels. Handbook of Spatial Statistics.
ESRI. 2023a. “Qué Son Los Sistemas de Coordenadas Proyectadas.” ArcGIS for Desktop-Sistemas de Coordenadas Proyectadas. https://desktop.arcgis.com/es/arcmap/10.3/guide-books/map-projections/about-projected-coordinate-systems.htm.
———. 2023b. “Sistema de Coordenadas Geográfica.” ArcGIS for Desktop-Proyecciones Cartográficas. https://desktop.arcgis.com/es/arcmap/10.3/guide-books/map-projections/geographic-coordinate-system.htm.
Fischer, Manfred M., and Peter Nijkamp. 2014. Handbook of Regional Science. Handbook of Regional Science. https://doi.org/10.1007/978-3-642-23430-9.
Gujarati, Damodar, and N Dawn C. Porter. 2011. Econometria Básica. Basic Econometrics.
Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Geocomputation with r. Geocomputation with R. https://doi.org/10.1201/9780203730058.
Montgomery, Douglas C., Elizabeth A. Peck., and G. Geoffrey Vining. 2012. Introduction to Linear Regression Analysis, Fifth Edition. A JOHN WILEY & SONS, INC., PUBLICATION. Vol. 81.
Nijkamp, Peter, and Waldemar Ratajczak. 2015. “The Spatial Economy: A Holistic Perspective.” In Regional Science Matters: Studies Dedicated to Walter Isard. https://doi.org/10.1007/978-3-319-07305-7_2.
Olaya, Victor. 2020. Sistemas de Información Geográfica. https://volaya.github.io/libro-sig/index.html.
Peng, Roger D. 2015. “R Programming for Data Science.” The R Project; R Foundation. https://doi.org/10.1073/pnas.0703993104.
Peng, Roger D, and Elizabeth Matsui. 2017. The Art of Data Science: A Guide for Anyone Who Works with Data. https://bookdown.org/rdpeng/artofdatascience/.
Quintana, Luis, and Miguel Ángel Mendoza. 2016. Econometría Aplicada Usando r. Econometría Aplicada Utilizando Regresiones. Universidad Nacional Autónoma de México, DGAPA-FES Acatlán.
Rezaeian, Mohsen, Graham Dunn, Selwyn St. Leger, and Louis Appleby. 2007. “Geographical Epidemiology, Spatial Analysis and Geographical Information Systems: A Multidisciplinary Glossary.” Journal of Epidemiology and Community Health 61. https://doi.org/10.1136/jech.2005.043117.
Tennekes, Martijn. 2018. “Tmap: Thematic Maps in r.” Journal of Statistical Software 84. https://doi.org/10.18637/jss.v084.i06.
Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Rielly.