MetricGraph 1.5.0
CRAN release: 2025-05-19
- Several optimization improvements for the models in
graph_lme. - Added a
paralleloption toposterior_crossvalidation. - Created an
INLAinterface for LGCP processes on metric graphs.
MetricGraph 1.4.1
CRAN release: 2025-03-02
- Adding selected inverse function, for computing the inverse matrix elements only on nonzero entries of the original sparse matrix.
- Adjusts on
add_observations()andplot_function()methods. - Adding helper functions to use
stlnppobjects.
MetricGraph 1.4.0
CRAN release: 2024-12-13
- Added an INLA implementation for
alpha=2. - Added a vignette for handling multiple likelihoods in
R-INLAandinlabru, and updated thegraph_spde_data()function for such cases. - Added an INLA implementation for directional models.
- Added support for directional edge weights.
- Added support for creating metric graphs from
SSN,osmdata_spandosmdata_sfobjects. In such cases, if available, edge weights and data will be automatically added to the graph. - Now if one creates the metric graph from
SpatialLinesDataFrame,LINESTRING,MULTILINESTRING, etc., if the object contain edge data, they will be automatically added as edge weights. - Added an option to not perform merges (which is now the default), that makes the graph creation faster and using less memory.
- Added vignettes with a river example and with an example of directional models.
- Updated the vignettes to account for the additions.
-
prune_verticesnow has an option to avoid creating circles when pruning. - Several updates and quality of life improvements for building very large graphs faster.
- Added the
export()method, that allows one to export a MetricGraph object as ansf,sporSSN2object. - Added wrappers for
leafletandmapviewas methods. - Added
get_edges()andget_vertices()methods were created, that return the edges and vertices, respectively, in either ‘sf’, ‘sp’ or the internal formats. - Added an option
formatto theget_data()method that allows one to also return the data insforspformats. - The
plotmethod now has an argumenttype, that now also allows one to settypetomapview, thus it can returnggplot2,plotlyandmapviewobjects. - Adding methods to do data manipulation on weights,
mutate_weight,select_weights,filter_weights,summarise_weightsanddrop_na_weights. They have aformatargument that allows one to also returnsforspobjects. - Updated the methods,
mutate,filter,select,drop_naandsummariseto have a format argument to also returnsforspobjects. - Massive improvement on the
observation_to_vertexmethod. - Massive improvement on the metric graph creation speed.
- Deprecated
improve_plotoption, as now all plots fromplot_function()method are improved. - Added
merge_strategyoption foradd_observations()method, for handling observations that are very close. - Update the metric graph data vignette for illustrating how to use the new tools for data manipulation.
- Massive improvement for building constraint matrices for
alpha=2, and for building directional constraints. - Updated starting values to use bounding boxes to be more efficient.
MetricGraph 1.3.0
CRAN release: 2024-02-27
- Handlers were added in
add_observations()for situations where observations are projected at the same location, specifically for theduplicated_strategyargument. - A
simulatemethod was added forgraph_lmeobjects. - The possibility of fixing parameters during estimation was added.
- The
Spointsargument inadd_observations()has been deprecated. Now,SpatialPointsDataFramecan be added directly in thedataargument. -
sfobjects containing data can also be directly added using theadd_observations()method in thedataargument. - The option of using a
graph_lmeobject to provide starting values when fitting a model usinggraph_lme()was added. - The option of fitting a directional Whittle-Matérn model with
alpha=1when usinggraph_lme()was added. - The
kirchhoff_weightsargument was added to obtain weights for Kirchhoff vertex conditions fromedge_weights. - Handling of edge weights was improved. For example, if pruning changes any edge weight, a warning will be given.
- The
edgeweight_to_data()method was added to turn edge weights into data in the internal metric graph format. -
edge_weightandedge_width_weightwere added to theplot()method so that plots on metric graphs can be produced with the weights providing colors to the edges, and also with (possibly different) weights providing the thickness of the edges. -
edge_weightswere added tograph_componentsso that the connected components will have the correct corresponding edge weights. -
edge_weightandedge_width_weightwere added to theplot_function()method, where they work in a similar manner to their counterparts for theplot()method. The difference is that the weights are plotted as piecewise constant functions. - The
prune_verticesnow has an option to not prune vertices whose edges have incompatible edge weights. - The
plotmethod has aninteractiveargument that returns the 2D plot as a plotly object, which is interactive when usingggplotly. - The dependency on the
viridispackage has been removed.
MetricGraph 1.2.0
CRAN release: 2023-11-07
- Changed argument
datatonewdatainpredictmethods. The argumentdatawas deprecated. - Bugfixes on sample_spde and when adding observations based on Euclidean positions.
- Added options
vertex_unitandlength_uniton graph creations. Units are given in edge lengths with theget_edge_lengths()method. - Added a method to check if the graph is a tree.
- The graph construction was thoroughly refactored. The resulting construction is faster and cleaner.
- The graph constructions now accepts list of coordinates (where the coordinates are given as either matrices or data frames),
SpatialLines,SpatialLinesDataFramesorMULTILINESTRING. - Adding two options (
sfpackage orsppackage) for handlinglonglatby using thewhich_longlatoption. - Adding
crs(if usingsf) andproj4string(if usingsp) for handling general coordinate reference systems. - Moving
datato theprivateenvironment. - Several data manipulation helper tools and methods were introduced, together with a vignette with a brief tutorial on these tools.
- The method
mesh_A()has been deprecated, usefem_basis()instead. - Several quality of life improvements.
- Improved the
plot()method with the optionplotly=TRUE. - Improved the
plot_function()method to acceptdataandnewdata. - Included a
process_data()method for metric graphs - Renamed the data internal structure from “__group”, “__edge_number”, “__distance_on_edge”, “__coord_x”, “__coord_y” to “.group”, “.edge_number”, “.distance_on_edge”, “.coord_x” and “.coord_y”.
- Added an “advanced grouping” option, in which the group variable can be a combination of several columns.
- Improved graph_lme() behavior to avoid having NaN as std.errors.
- Added check for distance consistency and, more generally, check to see if the graph has euclidean edges.
- Added method
get_groups()to get the unique groups, and also to retrieve the columns that were used to create the group variable. - Added the
get_data()method to get the data in a user-friendly manner. - Added
glance()andaugment()methods forgraph_lme()objects. - Added
get_vertices_incomp_dir()method to return vertices with incompatible directions. - Added
print(),summary(),compute_characteristics(),check_euclidean(),check_distance_consistency()methods. - Added support for edge weights.
- Created
verticeselement in the metric graph object, containing information such as degrees, indegrees, outdegrees. - Created
printmethods foredges,vertices, and for their entries. - Added the
improve_plotoption onplot_function. - Added support for discontinuous meshes (at the vertices).
- Added support for discontinuous functions (at the vertices) for
plot_function().
