Spatial Analysis: Nearest Neighbours Method

This lecture covers the nearest neighbours method in spatial analysis, focusing on assessing the distribution of distances to the nearest neighbour, computing the R index for aggregation or dispersion, and statistical testing for clustering. The slides provide detailed explanations and examples, including the use of Moran's scatterplot and LISA Cluster Map. The instructor, along with Stéphane Joost and Elia Vajana, answers questions related to the method's application and interpretation, preparing students for the exam. Additional topics include local spatial autocorrelation and the significance of spatial patterns in geographical data.