Package: spNetwork 0.4.4.3
Jeremy Gelb
spNetwork: Spatial Analysis on Network
Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).
Authors:
spNetwork_0.4.4.3.tar.gz
spNetwork_0.4.4.3.zip(r-4.5)spNetwork_0.4.4.3.zip(r-4.4)spNetwork_0.4.4.3.zip(r-4.3)
spNetwork_0.4.4.3.tgz(r-4.4-x86_64)spNetwork_0.4.4.3.tgz(r-4.4-arm64)spNetwork_0.4.4.3.tgz(r-4.3-x86_64)spNetwork_0.4.4.3.tgz(r-4.3-arm64)
spNetwork_0.4.4.3.tar.gz(r-4.5-noble)spNetwork_0.4.4.3.tar.gz(r-4.4-noble)
spNetwork_0.4.4.3.tgz(r-4.4-emscripten)spNetwork_0.4.4.3.tgz(r-4.3-emscripten)
spNetwork.pdf |spNetwork.html✨
spNetwork/json (API)
NEWS
# Install 'spNetwork' in R: |
install.packages('spNetwork', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jeremygelb/spnetwork/issues
- bike_accidents - Road accidents including a bicyle in Montreal in 2016
- main_network_mtl - Primary road network of Montreal
- mtl_libraries - Libraries of Montreal
- mtl_network - Road network of Montreal
- mtl_theatres - Theatres of Montreal
- small_mtl_network - Smaller subset road network of Montreal
Last updated 7 days agofrom:535f916d29 (on package/spNetwork). Checks:OK: 9. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 23 2024 |
R-4.5-win-x86_64 | OK | Oct 23 2024 |
R-4.5-linux-x86_64 | OK | Oct 23 2024 |
R-4.4-win-x86_64 | OK | Oct 23 2024 |
R-4.4-mac-x86_64 | OK | Oct 23 2024 |
R-4.4-mac-aarch64 | OK | Oct 23 2024 |
R-4.3-win-x86_64 | OK | Oct 23 2024 |
R-4.3-mac-x86_64 | OK | Oct 23 2024 |
R-4.3-mac-aarch64 | OK | Oct 23 2024 |
Exports:adaptive_bw_tnkde_cppadaptive_bw_tnkde_cpp2aggregate_pointsbuild_graphbuild_graph_directedbuild_quadtreebw_cv_likelihood_calcbw_cv_likelihood_calc_tkdebw_cv_likelihood_calc.mcbw_cvl_calcbw_cvl_calc.mcbw_tnkde_cv_likelihood_calcbw_tnkde_cv_likelihood_calc.mccalc_isochronescalcEuclideanDistance3closest_pointscontinuous_nkde_cpp_armacontinuous_nkde_cpp_arma_sparsecontinuous_tnkde_cpp_armacontinuous_tnkde_cpp_arma_sparsecorrfactor_continuouscorrfactor_continuous_sparsecorrfactor_discontinuouscorrfactor_discontinuous_sparsecosine_kernelcross_kfunctionscross_kfunctions.mcdiscontinuous_nkde_cpp_armadiscontinuous_nkde_cpp_arma_sparsediscontinuous_tnkde_cpp_armadiscontinuous_tnkde_cpp_arma_sparseepanechnikov_kernelgaussian_kernelgaussian_kernel_scaledgfunc_cppgraph_checkingk_nt_functionsk_nt_functions.mckfunc_cppkfunctionskfunctions.mclines_centerlines_directionlines_extremitieslines_points_alonglixelize_lineslixelize_lines.mcnetwork_knnnetwork_knn.mcnetwork_listwnetwork_listw.mcnkdenkde_get_loo_valuesnkde_workernkde.mcquartic_kernelsimple_linessimplify_networksnapPointsToLines2spatial_indexspatial_requestsplit_graph_componentssplit_lines_at_vertextkdetnkdetnkde_get_loo_valuestnkde_get_loo_values2tnkde_worker_bw_seltnkde.mctriangle_kerneltricube_kerneltriweight_kerneluniform_kernelworker_adaptive_bw_tnkde
Dependencies:abindBHbootclassclassIntclicodetoolscolorspacecpp11cubaturedata.tableDBIdbscandeldirdigeste1071fansifarverfuturefuture.applygenericsgeometriesggplot2globalsgluegtableigraphisobandKernSmoothlabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigprogressrproxyR6rbibutilsRColorBrewerRcppRcppArmadilloRcppProgressRdpackrlangs2scalessfsfheadersspspDataspdeptibbleunitsutf8vctrsviridisLitewithrwk
Building graphs
Rendered fromNetworkBuilding.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2024-10-23
Started: 2024-10-23
Network k Functions
Rendered fromKNetworkFunctions.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2024-10-23
Started: 2024-10-23
Network Kernel Density Estimate
Rendered fromNKDE.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2024-10-23
Started: 2024-10-23
Spatial Weight Matrices
Rendered fromSpatialWeightMatrices.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2024-10-23
Started: 2024-10-23
Temporal Network Kernel Density Estimate
Rendered fromTNKDE.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2024-10-23
Started: 2024-10-23