Page 293 - Contributed Paper Session (CPS) - Volume 6

CPS1932 Carlos A. M. D.
References
1. Baronio, A., Vianco, A. & Rabanal C. (2012). Una Introducci´on a la
Econometr´ıa Espacial. Dependencia y Heterogeneidad. Recovered from:
http://http://www.econometricos.com.ar/.
2. Bongiovanni, R. (2008). Econometr´ıa Espacial Aplicada a la Agricultura de
Precisi´on. Actualidad Econ´omica - Ao XIX - N 67.
3. Lovelace, R. and others (2015). Introduction to Visualising Spatial Data in R.
Recovered from: https://cran.r-project.org.
4. Mantilla, C. (2015). Factorial Analysis for Forced Migration in Colombia.
International Statistical Institute (ISI) - 60th World Statistics Congress
ISI2015. Recovered from: http://www.isi2015.org/.
5. Mantilla, C. (2017). Spatial Analysis for Common Factors in Forced
Migrations. Colombian Case. International Statistical Institute (ISI) - 61th
World Statistics Congress ISI2017. Recovered from:
http://www.isi2017.org/.
6. Mantilla, C. & Angulo, J. (2017). Modelamiento de Datos Espaciales y Datos
Espacio-Temporales: An´alisis Espacial y Espacio-Temporal del
Desplazamiento Forzado (Tesis de Maestr´ıa). Universidad de Granada.
Granada, Spain
7. Pebesma, E. (2012). Spacetime: Spatio-Temporal Data in R. Recovered from:
https://www.jstatsoft.org.
8. R Core Team (2019). R: A language and environment for statistical
computing. R Foundation for Statistical Computing, Vienna, Austria. URL
https://www.R-project.org/.
9. Zhukov, Y. (2010). Applied Spatial Statistics in R. Recovered from:
http://scholar.harvard.edu/zhukov/classes/ spatial-statistics-r.

282 | I S I W S C 2 0 1 9