7.4.1 Activity 3: Creating a neighbour list.7.3.2 Activity 2: Manually explore neighbours.7.3.1 Activity 1: Burglaries in Manchester City Centre ward.7.3 Putting ‘neighbourness’ in our analysis - constructing a spatial weight matrix.7 Global and local spatial autocorrelation.6.4.1 Activity 5: Spatial point pattern processes along networks.6.4 Spatial point patterns along networks.6.2.2 Activity 2: Inspecting our data with spatstat.6.2.1 Activity 1: Getting the data into spatstat: the problem with duplicates.5.2.2 Activity 5: Smoothing as a way to address insensitivity to sample size.5.2 Mapping rates, learning from yield mapping.5.1.1 Pro-tip: do I need to install this package?.4.3.2 Meet a new format of shapefile: geojson.4.3.1 Coordinate reference systems revisited. 4.2.1 Activity 4: Making an interactive map.4.2 Making interactive maps with leaflet.4.1.1 Subsetting using pattern matching.3.3 Classification systems for thematic maps.2.4.2 Mapping data by joining it to sf objects.2.4 Putting crime on the map - simple features.2.3.1 Activity 2: Find the spatial data.2.3 From dataframes to spatial objects: finding spatial information in our data.2.2.1 Find some relevant data to show: obtaining data on crime.2.2 Getting some spatial data to put on a map.2.1.1 Geospatial Perspective - The Basics.1.5.1 Activity 8: Playing around with data.1.1.1 Activity 1: Identifying your operating system.
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