Man pages for JeremyGelb/spNetwork
Spatial Analysis on Network
| adaptive_bw | Adaptive bandwidth |
| adaptive_bw_1d | Adaptive bw in one dimension |
| adaptive_bw.mc | Adaptive bandwidth (multicore) |
| adaptive_bw_tnkde | Adaptive bandwidth for TNDE |
| adaptive_bw_tnkde_cpp | The exposed function to calculate adaptive bandwidth with... |
| adaptive_bw_tnkde_cpp2 | The exposed function to calculate adaptive bandwidth with... |
| adaptive_bw_tnkde.mc | Adaptive bandwidth for TNDE (multicore) |
| add_center_lines | Add center vertex to lines |
| add_vertices_lines | Add vertices to a feature collection of linestrings |
| aggregate_points | Events aggregation |
| bike_accidents | Road accidents including a bicyle in Montreal in 2016 |
| build_graph | Network generation |
| build_graph_directed | Directed network generation |
| build_grid | Spatial grid |
| build_quadtree | Build a quadtree |
| bw_checks | Check function for parameters in bandwidth selection methods |
| bw_cvl_calc | Bandwidth selection by Cronie and Van Lieshout's Criterion |
| bw_cvl_calc.mc | Bandwidth selection by Cronie and Van Lieshout's Criterion... |
| bw_cv_likelihood_calc | Bandwidth selection by likelihood cross validation |
| bw_cv_likelihood_calc.mc | Bandwidth selection by likelihood cross validation... |
| bw_cv_likelihood_calc_tkde | Bandwidth selection for Temporal Kernel density estimate by... |
| bw_tnkde_corr_factor | Time and Network bandwidth correction calculation |
| bw_tnkde_corr_factor_arr | Time and Network bandwidth correction calculation for arrays |
| bw_tnkde_cv_likelihood_calc | Bandwidth selection by likelihood cross validation for... |
| bw_tnkde_cv_likelihood_calc.mc | Bandwidth selection by likelihood cross validation for... |
| calcEuclideanDistance3 | euclidean distance between rows of a matrix and a vector... |
| calc_gamma | Gamma parameter for Abramson’s adaptive bandwidth |
| calc_isochrones | Isochrones calculation |
| check_geometries | Geometry sanity check |
| clean_events | Clean events geometries |
| closest_points | Find closest points |
| continuousfunction | The main function to calculate continuous NKDE (with ARMADILO... |
| continuousfunction2 | The main function to calculate continuous NKDE (with ARMADILO... |
| continuousWorker | The worker function to calculate continuous NKDE (with... |
| continuousWorker_sparse | The worker function to calculate continuous NKDE (with... |
| correction_factor | Border correction for NKDE |
| correction_factor_time | Time extent correction for NKDE |
| corrfactor_continuous | A function to calculate the necessary information to apply... |
| corrfactor_continuous_sparse | A function to calculate the necessary information to apply... |
| corrfactor_discontinuous | A function to calculate the necessary informations to apply... |
| corrfactor_discontinuous_sparse | A function to calculate the necessary information to apply... |
| cosine_kernel | Cosine kernel |
| cosine_kernel_cpp | c++ cosine kernel |
| cosine_kernelos | c++ cosine kernel for one distance |
| cross_gfunc_cpp | c++ cross g function |
| cross_kfunc_cpp | c++ cross k function |
| cross_kfunctions | Network cross k and g functions (maturing) |
| cross_kfunctions.mc | Network cross k and g functions (multicore, maturing) |
| cut_lines_at_distance | Cut lines at a specified distance |
| direct_lines | Make a network directed |
| discontinuousfunction | The main function to calculate discontinuous NKDE (ARMA and... |
| discontinuousWorker_int | The worker function to calculate discontinuous NKDE (with... |
| discontinuousWorker_sparse | The worker function to calculate discontinuous NKDE (with... |
| dist_mat_dupl | Distance matrix with dupicated |
| epanechnikov_kernel | Epanechnikov kernel |
| epanechnikov_kernel_cpp | c++ epanechnikov kernel |
| epanechnikov_kernelos | c++ epanechnikov kernel for one distance |
| esc_kernel_loo_nkde | The worker function to calculate continuous TNKDE likelihood... |
| esc_kernel_loo_tnkde | The worker function to calculate continuous TNKDE likelihood... |
| esc_kernel_loo_tnkde_adpt | The worker function to calculate continuous TNKDE likelihood... |
| esd_kernel_loo_nkde | The worker function to calculate discontinuous TNKDE... |
| esd_kernel_loo_tnkde | The worker function to calculate discontinuous TNKDE... |
| esd_kernel_loo_tnkde_adpt | The worker function to calculate discontinuous TNKDE... |
| ess_kernel | Worker for simple NKDE algorithm |
| ess_kernel_loo_nkde | The worker function to calculate simple NKDE likelihood cv |
| ess_kernel_loo_tnkde | The worker function to calculate simple TNKDE likelihood cv |
| ess_kernel_loo_tnkde_adpt | The worker function to calculate simple TNKDE likelihood cv... |
| gaussian_kernel | Gaussian kernel |
| gaussian_kernel_cpp | c++ gaussian kernel |
| gaussian_kernelos | c++ gaussian kernel for one distance |
| gaussian_kernel_scaled | Scaled gaussian kernel |
| gaussian_kernel_scaled_cpp | c++ scale gaussian kernel |
| gaussian_kernel_scaledos | c++ scaled gaussian kernel for one distance |
| gfunc_cpp | c++ g function |
| gm_mean | Geometric mean |
| g_nt_func_cpp | c++ g space-time function |
| graph_checking | Topological error |
| heal_edges | Heal edges |
| is_projected | Projection test |
| kfunc_cpp | c++ k function |
| kfunctions | Network k and g functions (maturing) |
| kfunctions.mc | Network k and g functions (multicore, maturing) |
| k_nt_func_cpp | c++ k space-time function |
| k_nt_functions | Network k and g functions for spatio-temporal data... |
| k_nt_functions.mc | Network k and g functions for spatio-temporal data... |
| lines_center | Centre points of lines |
| lines_coordinates_as_list | Lines coordinates as list |
| lines_direction | Unify lines direction |
| lines_extremities | Get lines extremities |
| lines_points_along | Points along lines |
| list_coordinates_as_lines | List of coordinates as lines |
| lixelize_lines | Cut lines into lixels |
| lixelize_lines.mc | Cut lines into lixels (multicore) |
| main_network_mtl | Primary road network of Montreal |
| mtl_libraries | Libraries of Montreal |
| mtl_network | Road network of Montreal |
| mtl_theatres | Theatres of Montreal |
| nearest_lines | Nearest line for points |
| nearestPointOnLine | Nearest point on Line |
| nearestPointOnSegment | Nearest point on segment |
| network_knn | K-nearest points on network |
| network_knn.mc | K-nearest points on network (multicore version) |
| network_knn_worker | worker function for K-nearest points on network |
| network_listw | Network distance listw |
| network_listw.mc | Network distance listw (multicore) |
| network_listw_worker | network_listw worker |
| nkde | Network Kernel density estimate |
| nkde_get_loo_values | The exposed function to calculate NKDE likelihood cv |
| nkde.mc | Network Kernel density estimate (multicore) |
| nkde_worker | NKDE worker |
| nkde_worker_bw_sel | Bandwidth selection by likelihood cross validation worker... |
| plot_graph | Plot graph |
| prepare_data | Prior data preparation |
| prepare_elements_netlistw | Data preparation for network_listw |
| quartic_kernel | Quartic kernel |
| quartic_kernel_cpp | c++ quartic kernel |
| quartic_kernelos | c++ quartic kernel for one distance |
| randomize_distmatrix | Points on network randomization |
| randomize_distmatrix2 | Points on network randomization simplified |
| remove_loop_lines | Remove loops |
| remove_mirror_edges | Remove mirror edges |
| reverse_lines | Reverse lines |
| sanity_check_knn | Sanity check for the knn functions |
| select_dist_function | Select the distance to weight function |
| select_kernel | Select kernel function |
| simple_lines | LineString to simple Line |
| simple_nkde | Simple NKDE algorithm |
| simple_tnkde | Simple TNKDE algorithm |
| simplify_network | Simplify a network |
| small_mtl_network | Smaller subset road network of Montreal |
| snapPointsToLines2 | Snap points to lines |
| spatial_index | An object (c++ pointer) to do some spatial query of... |
| spatial_request | Spatial request |
| sp_char_index | Coordinates to unique character vector |
| split_border | Split boundary of polygon |
| split_by_grid | Split data with a grid |
| split_by_grid_abw | Split data with a grid for the adaptive bw function |
| split_by_grid_abw.mc | Split data with a grid for the adaptive bw function... |
| split_by_grid.mc | Split data with a grid (multicore) |
| split_graph_components | Split graph components |
| split_lines_at_vertex | Split lines at vertices in a feature collection of... |
| spNetwork-package | spNetwork: Spatial Analysis on Network |
| st_bbox_by_feature | Obtain all the bounding boxes of a feature collection |
| st_bbox_geom | sf geometry bbox |
| surrounding_points | Points along polygon boundary |
| tkde | Temporal Kernel density estimate |
| tnkde | Temporal Network Kernel density estimate |
| tnkdecontinuousfunction | The main function to calculate continuous TNKDE (with... |
| tnkdediscontinuousfunction | The main function to calculate discontinuous NKDE (ARMA and... |
| tnkdediscontinuousfunctionsparse | The main function to calculate discontinuous NKDE (ARMA and... |
| tnkde_get_loo_values | The exposed function to calculate TNKDE likelihood cv |
| tnkde_get_loo_values2 | The exposed function to calculate TNKDE likelihood cv |
| tnkde.mc | Temporal Network Kernel density estimate (multicore) |
| tnkde_worker | TNKDE worker |
| tnkde_worker_bw_sel | Worker function fo Bandwidth selection by likelihood cross... |
| triangle_kernel | triangle kernel |
| triangle_kernel_cpp | c++ triangle kernel |
| triangle_kernelos | c++ triangle kernel for one distance |
| tricube_kernel | Tricube kernel |
| tricube_kernel_cpp | c++ tricube kernel |
| tricube_kernelos | c++ tricube kernel for one distance |
| trim_lines_at | Helper for isochrones lines cutting |
| triweight_kernel | Triweight kernel |
| triweight_kernel_cpp | c++ triweight kernel |
| triweight_kernelos | c++ triweight kernel for one distance |
| uniform_kernel | Uniform kernel |
| uniform_kernel_cpp | c++ uniform kernel |
| uniform_kernelos | c++ uniform kernel for one distance |
| worker_adaptive_bw_tnkde | Worker function for adaptive bandwidth for TNDE |
