1.5 Reference books & articles

Ansari, M. Y., Ahmad, A., Khan, S. S., Bhushan, G., & Mainuddin. (2020). Spatiotemporal clustering: a review. Artificial Intelligence Review, 53, 2381-2423.
Baddeley, A., Bárány, I. & Schneider, R. (2007). Spatial point processes and their applications. Stochastic Geometry: Lectures Given at the CIME Summer School Held in Martina Franca, Italy, September 13–18, 2004, 1-75.
Baddeley, A. & Turner, R. (2005). Spatstat: an R package for analyzing spatial point patterns. Journal of statistical software, 12, 1-42.
Banerjee, S., Carlin, B. P., & Gelfand, A. E. (2003). Hierarchical modeling and analysis for spatial data. Chapman and Hall/CRC.
Butt, U. M., Letchmunan, S., Hassan, F. H., Ali, M., Baqir, A., & Sherazi, H. H. R. (2020). Spatio-temporal crime hotspot detection and prediction: a systematic literature review. IEEE access, 8, 166553-166574.
Cressie, N. (2015). Statistics for spatial data. John Wiley & Sons.
Cressie, N. & Huang, H. C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical association, 94(448), 1330-1339.
Demšar, U., Harris, P., Brunsdon, C., Fotheringham, A. S., & McLoone, S. (2013). Principal component analysis on spatial data: an overview. Annals of the Association of American Geographers, 103(1), 106-128.
Diggle, P. (2000) Spatial Statistics for Environmental Epidemiology. Medical Statistics Unit, Lancaster University.
Diggle, P. J. (2006). Spatio-temporal point processes: methods and applications. Monographs on Statistics and Applied Probability, 107, 1.
Diggle, P. J. (2013). Statistical analysis of spatial and spatio-temporal point patterns. CRC press.
Fotheringham, A. S., & Rogerson, P. A. (Eds.). (2008). The SAGE handbook of spatial analysis. Sage
Gelfand, A. E., Diggle, P., Guttorp, P. & Fuentes, M. (2010). Handbook of spatial statistics. CRC press.
González, J. A. & & Moraga, P. (2023) Non-Parametric Analysis of Spatial and Spatio-Temporal Point Patterns, The R Journal,15(1), 65 – 82.
Haining, R. (2014). Spatial statistics and the analysis of health data. In GIS and Health (pp. 47-66). CRC Press.
Hamdi, A., Shaban, K., Erradi, A., Mohamed, A., Rumi, S. K., & Salim, F. D. (2022). Spatiotemporal data mining: a survey on challenges and open problems. Artificial Intelligence Review, 1-48.
Harel, D., & Koren, Y. (2001). Clustering spatial data using random walks. In Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 281-286).
Harvill, J. L. (2010). Spatio‐temporal processes. Wiley interdisciplinary reviews: computational statistics, 2(3), 375-382.
Illian, J., Penttinen, A., Stoyan, H., & Stoyan, D. (2008). Statistical analysis and modelling of spatial point patterns. John Wiley & Sons.
Karimi, H. A., & Karimi, B. (Eds.). (2017). Geospatial data science techniques and applications. CRC Press.
Kisilevich, S., Mansmann, F., Nanni, M., & Rinzivillo, S. (2010). Spatio-temporal clustering. In Maimon, O., & Rokach, L. (Eds.). (2005). Data mining and knowledge discovery handbook (Vol. 2, No. 2005). New York: Springer. (pp. 855-874).
Last, G. & Penrose, M. (2017). Lectures on the Poisson process (Vol. 7). Cambridge University Press.
Lawson, A. B., & Banerjee, S. (2009). Bayesian spatial analysis. The sage handbook of spatial analysis. New York, NY: Sage, pp. 321-342.
Møller, J. (Ed.). (2013). Spatial statistics and computational methods (Vol. 173). Springer Science & Business Media.
Moller, J., & Waagepetersen, R. P. (2003). Statistical inference and simulation for spatial point processes. CRC press.
Rubak, E. (2011) Spatial point processes: Theory and practice illustrated with R. Department of Mathematical Sciences Aalborg University
Schabenberger, O. and Gotway, C. (2004). Statistical Methods For Spatial Data Analysis. Boca Raton, FL: Chapman and Hall/CRC Press.
Shi, Z., & Pun-Cheng, L. S. (2019). Spatiotemporal data clustering: A survey of methods. ISPRS international journal of geo-information, 8(3), 112.
Soale, A. N. (2016). Spatio-Temporal Analysis of Point Patterns (Doctoral dissertation, East Tennessee State University).
Varghese, B. M., Unnikrishnan, A., & Jacob, K. (2013). Spatial clustering algorithms-an overview. Asian Journal of Computer Science and Information Technology, 3(1), 1-8.
Wikle, C. K., Zammit-Mangion, A. & Cressie, N. (2019) Spatio-Temporal Statistics with R. Boca Raton, FL: Chapman & Hall/CRC.