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Creating Neighbours using sf objects1 years ago
Introduction | Summary | Data set | nb and listw objects (copied from the nb_igraph vignette) | Comparison of sp and sf approaches | Contiguity neighbours for polygon support | Contiguity neighbours from invalid polygons | Planar point-based neighbours | Finding points for polygon objects | Graph-based neighbours | K-nearest neighbours | Distance neighbours | Spherical point-based neighbours | Contiguity neighbours for spherical polygon support
No-neighbour observation and subgraph handling1 years ago
Introduction | No-neighbour observations | Subgraphs | Per-session control of function behaviour | Unintentional disconnected graphs | References
“The Problem of Spatial Autocorrelation:” forty years on1 years ago
Introduction | Spatial weights | Measures of spatial autocorrelation | Simulating measures of spatial autocorrelation | Odds and ends $\ldots$ | References
North Carolina SIDS data set (models)2 years ago
Introduction | Getting the data into R | CAR model fitting | References
Introduction to the North Carolina SIDS data set (re-revised)2 years ago
Introduction | Getting the data into R | Probability mapping | Exploration and modelling of the data | Median polish smoothing | References
Head/Tails breaks2 years ago
Abstract | Introduction | Breaking method | Step by step example | Implementation in classInt package | Case study | Testing and benchmark | References
Creating Neighbours2 years ago
Introduction | Creating Contiguity Neighbours | Creating Graph-Based Neighbours | Distance-Based Neighbours | Higher-Order Neighbours | Grid Neighbours | References
Spatial weights objects as sparse matrices and graphs2 years ago
Introduction | spatialreg depends on Matrix | Getting some data | Finding contiguous neighbours and droppping links | Using sparse matrices to represent spatial weights | Symmetric sparse matrices | Log determinants (symmetric weights) used in spatial regression | Asymmetric sparse matrices | Log determinants (asymmetric weights) used in spatial regression | Log determinants: symmetric by similarity | Using eigs in RSpectra for finding some eigenvalues | Using igraph for spatial weights as graphs | Converting from symmetric adjacency matrix to graph | Converting from graph to symmetric adjacency matrix | Graph components in spdep | Graph components in igraph | Shortest paths in weights matrices: igraph | Shortest paths in weights matrices: spdep | Smirnov/Anselin (2009) cyclical matrices
Moran Eigenvectors2 years ago
Introduction [^1] | References
Geographically Weighted Regression2 years ago
Geographically Weighted Regression [^1] | References