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sfnetworks v1.0.0 “Itzling” (in progress)

Network creation

  • Creating networks directly from linestring geometries is now implemented in the new function create_from_spatial_lines(). The as_sfnetwork() method for sf objects will call this function when geometries are linestrings, and forward the ... arguments to it. This now also allows to already subdivide the edges at locations where interior points are shared, setting subdivide = TRUE.
  • Creating networks directly from point geometries is now implemented in the new function create_from_spatial_points(). The as_sfnetwork() method for sf objects will call this function when geometries are points, and forward the ... arguments to it.
  • There are now many more options to create spatial networks directly from spatial point data. How nodes should be connected can be specified by providing a logical adjacency matrix in addition to the point data. This adjacency matrix can also be sparse, e.g. the output of a spatial predicate function in sf. Furthermore, sfnetworks can create the adjacency matrix for you according to a specified method. In that case, you only need to specify the name of the method. Supported options are: a complete graph, a sequence, a minimum spanning tree, a delaunay triangulation, a Gabriel graph, a relative nearest neighbor graph, an a k nearest neighbor graph. See here for a detailed explanation with examples.
  • The new function play_geometric() can create random geometric networks.
  • There is a new method for as_sfnetwork() to create dodgr_streetnet objects from the {dodgr} package directly into a sfnetwork. This internally calls dodgr_to_sfnetwork(). For the conversion in the other direction, use sfnetwork_to_dodgr().
  • It is now also possible to convert between sfnetwork objects and neighbor lists, using the new functions nb_to_sfnetwork() and sfnetwork_to_nb(). Neighbor lists are sparse adjacency matrices that can be found e.g. in the spdep package and the sf package (as the output of spatial predicate functions).
  • Since the interpretation of the weights argument when weights = NULL changed (see below), the argument length_as_weight of the sfnetwork() construction function has been deprecated. Instead, you can now set compute_length = TRUE to store edge lengths in a attribute named length. However, this attribute will not anymore automatically be recognized as edge weights in routing functions.

Routing

  • As mentioned above, the interpretation of the setting weights = NULL has changed for all routing functions. Before, an edge attribute named weight would be automatically recognized as edge weights, just like in igraph. Although convenient, it proved to be very confusing since in tidygraph, the setting weights = NULL does not have the same meaning. There is always means that no edge weights are used, no matter if a weight attribute is present. We now decided that (since we are primarily integrating tidygraph and sf) to follow the tidygraph design choice, meaning that weights = NULL always means that no edge weights are used. However, in the routing functions of sfnetworks the default is no longer weights = NULL, but weights = edge_length(). Hence, geographic length is the default edge weight in all routing functions of sfnetworks
  • The way in which edge weights can be specified in routing functions has been updated to better fit in tidy data analysis workflows. You can now directly provide edge measure functions as value to the weight argument. This also allows to provide custom edge measure functions, for example ones that are time-dependent. Furthermore, to reference a column in the edges table, you can now do this using tidy evaluation, i.e. unquoted column names rather than quoted ones. For dual weighted routing, the new dual_weights() function can be used. See here for a full overview of possible specification formats.
  • The way in which from and to nodes in routing functions can be specified has been updated to better fit in tidy data analysis workflows. You can now directly provide node query or node measure functions as value to the from and to arguments. Furthermore, to reference a column in the nodes table, you can now do this using tidy evaluation, i.e. unquoted column names rather than quoted ones. See here for a full overview of possible specification formats.
  • It is now possible to choose between different “routing backends” through the router argument in all routing functions. The default routing backend is igraph, meaning that routing functions from the igraph package will be called internally. The second supported routing backend now is dodgr, which will call routing functions from the dodgr package instead. All conversion happens internally, such that as a user you can use the same functions and arguments independent from which routing engine you choose. See here for more details.
  • The output returned by st_network_paths() is restructured. Instead of tbl_df, the function will now return a sf object, with the course of each path stored as a linestring geometry. It will also return the total cost of each path in a column named cost. Columns node_paths and edge_paths are renamed to node_path and edge_path, respectively. The boolean column path_found specifies if the requested path was found. If not, the path will be assigned an infinite cost and empty geometry. New boolean arguments return_cost and return_geometry can be set to FALSE if you do not want the cost and/or geometry columns to be returned.
  • The type argument of st_network_paths() is deprecated. To compute all shortest paths instead of a single shortest path, set all = TRUE instead. Support for computing all simple paths is dropped.
  • The st_network_paths() function now supports one-to-one k shortest paths routing. This is implemented through the new k argument, which you can set to an integer higher than 1.
  • The use_names argument of st_network_paths() now has a default value of FALSE. This means that even if the nodes have a name column, they will be encoded by their integer indices in the output object.
  • The use_names argument is now also added to st_network_cost(), letting you specify if you want node names to be used for column and rownames in the returned matrix. Also here, it defaults to FALSE.
  • The new function st_network_distance() is added as a synonym for st_network_cost() where the edge weights are fixed to be geographic distance. This is done to provide an intuitive network-specific alternative to sf::st_distance().
  • The new function st_network_travel() now provides an interface to the TSP package to solve traveling salesman problems. This requires TSP to be installed. See here for an example.
  • The new function st_network_iso() now implements the computation of isodistance/isochrone polygons around a given source node. It first computes the neighborhood of the node, and then draws a concave hull around it. See here for an example. For concave hulls that are more detailed than the convex hull, i.e. with a ratio smaller than 1, GEOS >= 3.11 is required.

Morphers

  • The new morpher to_spatial_unique() allows to contract nodes at equal spatial locations, while specifying how their attributes should be combined.
  • The new morpher to_spatial_mixed() allows to mimic a mixed network representation (i.e. a network with both directed and undirected edges) by duplicating and reversing those edges that should be undirected.
  • The new morpher to_spatial_reversed() reverses edges, including their linestring geometries. Selected edges can be protected from reversion using the protect argument.
  • The new morpher to_spatial_implicit() drops edge geometries.
  • The summarise_attributes argument that appears in several morphers is renamed to attribute_summary, to avoid differences between UK and US spelling. For now, summarise_attributes will be automatically converted to attribute_summary, while giving a soft deprecation warning.
  • The to_spatial_subdivision() morpher now has the argument all. If set to TRUE, edges will be subdivided at each interior point (i.e. creating one edge per segment), instead of only at interior points that are shared between multiple edges.
  • The to_spatial_subdivision() morpher now has the argument merge_equal. If set to TRUE, edges will only be subvidived, but subdivision points that are shared between multiple edges will not be merged into a single node.
  • The to_spatial_subdivision() moprher now has the argument protect, which allows to protect specified edges from being subdivided. The edges to be protected can be specified in several ways, e.g. by their integer index, by using edge query functions, or by referencing a column using tidy evaluation.
  • The protect argument of the to_spatial_smooth() morpher is now updated to fit better in tidy data analysis workflows. Nodes to be protected from being smoothed can be specified in the same way as origins and destination nodes in routing functions, see above.
  • The require_equal argument of the to_spatial_smooth() morpher is now updated to fit better in tidy data analysis workflows. Attributes to check for equality can now be specified using tidy selection. This means you can also use tidy selection helpers from dplyr.
  • The to_spatial_contracted() morpher now has the argument compute_centroid. If set to FALSE, contracted groups of nodes will not have their centroid as new geometry, but simply the geometry of the first node in the group. This can improve performance significantly on large networks.
  • The simplify argument of the to_spatial_contracted() morpher now has TRUE as the default value. This means that by default the contracted network will be simplified.
  • The to_spatial_shortest_paths() morpher now automatically orders the nodes and edges in each returned network to match the order in which they are visited by the path.
  • The from argument of to_spatial_neighborhood() is renamed to node. For now, from will be automatically converted to node, while giving a soft deprecation warning.
  • The to_spatial_neighborhood() morpher now internally calls st_network_cost(), and forwards ... arguments to it.
  • The to_spatial_neighborhood() morpher now accepts multiple threshold values, returning one network per specified threshold.
  • The internal workers of the morphers dedicated to network cleaning are now exported as well, to make it possibe to perform data cleaning outside of the tidygraph framework. These are simplify_network() for to_spatial_simple(), subdivide_edges() for to_spatial_subdivision(), smooth_pseudo_nodes() for to_spatial_smooth(), and contract nodes for to_spatial_contracted().

Spatial grouping

  • The new function group_spatial_dbscan() provides a tidy interface to the dbscan package to group nodes spatially using the DBSCAN spatial clustering algorithm, based on network distances between nodes.

Blending

  • st_network_blend() now allows to blend points that have the same projected location on the network, by setting ignore_duplicates = FALSE. All but the first one of those will be added as isolated nodes, which can then be merged using the new morpher to_spatial_unique().

Node specific functions

  • The new centrality function centrality_straightness() allows to compute the straightness centrality of nodes.
  • The new node query function node_is_pseudo() and node_is_dangling() allow to easily query pseudo (nodes with one incoming and one outgoing edges) and dangling (nodes with a degree centrality of 1) nodes.
  • The new node predicate function node_is_nearest() defines if a node is the nearest node to any feature in a given set of spatial features.

Edge specific functions

  • The new edge measure function edge_segment_count() returns the number of segments in each edge.
  • The new edge predicate function edge_is_nearest() defines if a edge is the nearest edge to any feature in a given set of spatial features.
  • Several internal functions to modify edge geometries are now exported:
    • make_edges_valid() makes edge geometries fit in the spatial network structure by either replacing their endpoints with the nodes that are referenced in the from and to columns (if preserve_geometries = FALSE), or by adding unmatched endpoints as new nodes to the network and updating the from and to columns (if preserve_geometries = TRUE).
    • make_edges_directed() turns a undirected network into a directed network by updating the from and to columns according to the direction given by the linestring geometries. This is the internal worker of the morpher to_spatial_directed().
    • make_edges_mixed() duplicates and reverses edges in a directed network that should be undirected. This is the internal worker of the morpher to_spatial_mixed().
    • make_edges_explicit() adds a geometry column to spatially implicit edges. This is the internal worker of the morpher to_spatial_explicit().
    • make_edges_implicit() drops the geometry column of spatially explicit edges. This is the internal worker of the morpher to_spatial_implicit().
    • make_edges_follow_indices() updates edge geometries in undirected networks to match the node indices specified in the from and to columns, in case they are swapped.

Other new functions

Methods for sf

  • There is now a sfnetwork method for sf::st_segmentize(), allowing you to add interior points to edge geometries at fixed intervals.
  • The sfnetwork methods for sf::st_intersection(), sf::st_difference(), and sf::st_crop() now also work as expected on undirected networks.
  • The st_geometry<- method for sfnetwork objects now allows to replace node geometries with any set of points, and edge geometries with any set of lines. Internally, the network structure will be kept valid by replacing endpoints of edge geometries (when replacing nodes), or by adding unmatched edge endpoints as new nodes to the network (when replacing edges).
  • The sf::st_join() method for sfnetwork objects now allows multiple matches for the same node. In these case, the node will be duplicated once per additional match, and duplicates are added as isolated nodes to the resulting network.

Upkeep with tidygraph

Plotting

  • The plot() method for sfnetwork objects now allows different style settings for nodes and edges, using the new node_args and edge_args arguments.
  • The plot() method for sfnetwork objects now allows to plot multiple networks on top of each other.

Data extraction utilities

  • Several utility functions to extract data from a sfnetwork object are now exported:
    • The functions node_data() and edge_data() extract the node and edge table, respectively. Nodes are always extracted as a sf object. Edges are extracted as sf object if they are spatially explicit, and as regular tbl_df if they are spatially implicit.
    • The functions node_ids() and edge_ids() extract the indices of the nodes and edges, respectively. The indices correspond to rownumbers in the node and edge tables.
    • The functions nearest_nodes() and nearest_edges() return respectively the nearest nodes and nearest edges to a set of spatial features.
    • The functions nearest_node_ids() and nearest_edge_ids() return respectively the indices of the nearest nodes and nearest edges to a set of spatial features. The indices correspond to rownumbers in the node and edge tables.
    • The functions n_nodes() and n_edges() return the respectively the number of nodes and edges in the network.

Other utilities

  • Added is_sfnetwork() as an alias of is.sfnetwork().
  • The new function validate_network() allows to validate the spatial network structure of a sfnetwork object.
  • The new function wrap_igraph() allows to wrap any function from igraph that returns a network, and make it return a sfnetwork object instead of a igraph object.
  • The functions st_duplicated(), st_match() and st_round() are added as spatial variations to common base R functions, respectively for determining spatial duplicates, geometry matching, and coordinate rounding.

Other updates

  • When determining spatial equality of nodes, sfnetworks now by default uses a 12-digit precision. This gives a considerable performance improvement especially on large networks. Precision can be changed by explicitly setting coordinate precision using sf::st_set_precision().
  • All messages, warnings and errors in sfnetworks are now raised using the cli and rlang packages.

Bug fixes

  • The print method now works correctly again after aligning with updates in tidygraph.
  • The morpher to_spatial_contracted() now correctly handles group indices that are not ordered.
  • The plot() method for sfnetwork objects now correctly plots networks with spatially implicit edges that are active.
  • st_network_bbox() now also computes bounding boxes for networks with spatially implicit edges.

Dependencies

  • The minimum required version for sf is now 1.0-11
  • The minimum required version for tidygraph is now 1.3.0
  • The minimum required version for igraph is now 2.1.0
  • The crayon package is not a dependency anymore.
  • Base R packages {methods} and {stats} are added as new dependencies.
  • Additional packages cli, lifecycle, pillar and tidyselect are added as new dependencies.

sfnetworks v0.6.4

CRAN release: 2024-04-09

New features

  • The sfnetwork() construction function now has an argument message which can be set to FALSE when the network validity checks should not print informational messages to the console. Refs #261.

Maintenance

  • Code and documentation was updated where needed to align with changes in base R and/or package dependencies. No changes to program logic or behavior.

sfnetworks v0.6.3

CRAN release: 2023-03-22

Bug fixes

sfnetworks v0.6.2

CRAN release: 2023-02-26

Bug fixes

  • The to_spatial_contracted() morpher now correctly handles cases for undirected networks in which only loop edges are created after contraction. Refs #237.

Refactoring

  • The to_spatial_contracted() morpher now directly returns the original network when none of the contraction groups contain more than one node.

Other

  • Umbrella packages tidyverse and spatstat are no longer suggested packages. Only individual members of these packages are now suggested packages.
  • Updated unit tests.

sfnetworks v0.6.1

CRAN release: 2022-10-27

Bug fixes

  • Unit tests in test_join.R now successfully run also on R-devel.

Refactoring

  • Updated plot algorithm to be faster and more efficient. Refs #226.

sfnetworks v0.6.0 “Coerde”

CRAN release: 2022-08-19

New features

  • Updates to to_spatial_smooth() morpher:
    • Argument summarise_attributes added to summarise attribute values of concatenated edges. Refs #120.
    • Argument require_equal added to specify if and which attributes should be checked for equality before removing a pseudo node. Refs #124.
    • Argument protect added to specify nodes that should never be removed, even if they are a pseudo node. Refs #177.
    • Concatenated edges after smoothing are now allowed to cross themselves. Refs #117.
  • Updates to st_network_cost():
    • Duplicated nodes are now accepted in the to argument. Refs #183.
    • Cost matrix output now contains units. Refs #119.
    • Argument direction added to specify if outbound, inbound or all edges should be considered. This replaces the argument mode from igraph::distances(). The default is “out”, while before it was “all”. For undirected networks this argument is ignored.
  • Edge measure function edge_azimuth() gained an argument degrees which can be set to TRUE to return angles in degrees instead of radians.
  • By default st_network_paths() now encodes nodes by their name, whenever a name attribute is present in the nodes table. This can be disabled by setting use_names = FALSE. Refs #154.
  • Functions sf::st_precision() and sf::st_set_precision() now have a method for sfnetwork objects, such that coordinate precision can be queried and set. Refs #209.
  • Functions sf::st_intersection() and sf::st_difference() now have a method for sfnetwork objects, such that networks can be spatially clipped. The method for sf::st_crop() now uses the same workflow. These functions do not work yet on edges of undirected networks. Refs #133.
  • Function sf::st_drop_geometry() is now a generic and therefore got an sfnetwork method.
  • Several other sf functions got an sfnetwork method, merely to be consistent in the type of functions we provide a method for. Only those functions that mutate the geometry column of an sf object in such a way that would break the valid spatial network structure are not supported.
  • Methods for sf::st_coordinates(), sf::st_bbox() and sf::st_crs() gained an active argument such that this information can be extracted from any network element without first activating it. Refs #215.

Bug fixes

  • Rd files do not contain code anymore that is incompatible with HTML5. Refs #221.
  • Print methods now return x invisibly. Refs #217.

Refactoring

  • Error messages when edge measure or query functions are applied to a network with active nodes, or when node measure or query functions are applied to a network with active edges, are now more informative. Refs #216.
  • Calculating straight-line distances of edges is now more performant. Refs #180.
  • Edge measure function edge_circuity() does not return units objects anymore, since circuity is unitless.

Community

  • Vignettes updated to showcase new features.
  • Code of conduct updated according to newer template.
  • Contributing guidelines extended with templates for commit messages.
  • Master branch renamed to main, and protected from directed pushes.

sfnetworks v0.5.5

CRAN release: 2022-02-16

  • Adjusted the code used to check the version of PROJ on attach. In particular, the new approach tests only sf::sf_extSoftVersion()["proj.4"] since sf::sf_extSoftVersion()["PROJ"] might not be defined for sf < 1.0. Refs #198 and #200.
  • Adjusted one of the vignettes following the changes in dplyr 1.0.8. Ref #202. Thanks @romainfrancois.
  • Removed conflicting URL from package documentation spatial_edge_measures

sfnetworks v0.5.4

CRAN release: 2021-12-17

  • A startup message is included to urge users of PROJ <= 6 to recreate the CRS for the Roxel dataset. Refs #190 and fixed with #193.
  • Example using GraphML in vignette 1 has been removed provisionally to address #194.

sfnetworks v0.5.3

CRAN release: 2021-11-26

  • Addition of the n_active and n_inactive arguments to the print method of an sfnetwork object. The arguments define how many rows are printed for respectively the active and inactive network element. The values of these arguments can also be set globally by running e.g. options(sfn_max_print_active = 1, sfn_max_print_inactive = 2). Refs #157
  • The example dataset Roxel is updated to comply with recent updates on the way a CRS is specified in an sf object. Refs #167
  • GitHub Actions workflows are updated to comply with new developments.
  • Documentation updates:
    • Vignette file names are updated such that the appear in correct order on CRAN. Refs #162
    • Example section of the plot method for sfnetwork objects now includes an example of how to add graticules and axes. Refs #159

sfnetworks v0.5.2

CRAN release: 2021-05-13

  • Compatibility with s2 by adding a s2::as_s2_geography() method for sfnetwork objects. In the new version of sf, the s2 package will be used for geometric operations involving longitude-latitude coordinates, see here.
  • Bug fixes:
    • When setting length_as_weight = TRUE in the sfnetwork construction function, the added weight column now preserves specification of units.
    • st_network_blend() now internally uses sf::st_cast() instead of sfheaders::sfc_cast() to avoid errors with some CRS specifications.
  • Documentation updates:
    • Extended documentation for the shortest paths functions.
    • Clear mention in vignettes that tidygraph behavior regarding the weight attribute settings is sometimes differing from igraph.

sfnetworks v0.5.1

CRAN release: 2021-03-28

  • Compatibility with spatstat v2, which is now splitted into multiple sub-packages. See here for details. In sfnetworks, this affected the functions as_sfnetwork.linnet(), as_sfnetwork.psp() and as.linnet.sfnetwork(). Using this functions now requires spatstat >= 2.0.0 and sf >= 0.9.8.
  • Bug fixes:
    • Usage of match for checking coordinate equality is replaced by a new st_match function specifically designed for this task. This fixes bugs related to numeric approximations of detailed coordinates. See #130
  • Documentation updates:
    • It is now clearly documented that using sf::st_reverse() to reverse edge linestrings is only possible with GEOS versions >= 3.7.

sfnetworks v0.5.0 “Nienberge”

CRAN release: 2021-03-11

  • Addition of a to_spatial_contracted() morpher, to contract groups of nodes based on given grouping variables. Refs #104
  • Addition of a to_spatial_neighborhood() morpher, to limit a network to the neighborhood of a given node, based on a given cost threshold. Refs #90
  • New implementation of st_network_blend(), which is faster and more reliable. The sort argument is deprecated, since the returned network is now always sorted.
  • Addition of an summarise_attributes argument to the to_spatial_simple() morpher, allowing to specify on a per-attribute basis how attribute values of merged multiple edges should be inferred from the original ones. Refs #113. The same argument is also part of the new to_spatial_contracted() morpher, where it can be used to specify on a per-attribute basis how attribute values of contracted groups of nodes should be inferred from the original ones.
  • The argument remove_parallels of the to_spatial_simple() morpher is renamed to remove_multiples to better fit naming conventions in igraph.
  • The argument store_orig_data of the to_spatial_smooth() morpher is renamed to store_original_data to be better interpretable. This argument is also added to the morphers to_spatial_simple() and to_spatial_contracted(), allowing to store original node or edge data in a .orig_data column, matching the design standards of tidygraph.
  • Addition of a Inf_as_NaN argument to st_network_cost(), to store cost values of paths between unconnected edges as NaN instead of Inf. The default value of this argument is FALSE. Refs #111
  • The default of the Inf_as_NaN argument in edge_circuity() is changed from TRUE to FALSE, to better fit with the change mentioned above, and to make sure no changes to R defaults are made without the user explicitly specifying them.
  • Whenever there are multiple matches when spatially joining information to the nodes of a network with sf::st_join(), only the information of the first match is now joined. Before, this used to throw an error. Refs #108
  • Removal of the morphed_sfnetwork method for sf::st_geometry<-, since geometries should not be replaced in a morphed state.
  • The warning ‘.. assumes attributes are constant over geometries’ is now only raised when not all attribute-geometry relationships are set to ‘constant’. Refs #123
  • Bug fixes:
  • Several new examples and applications added to the vignettes.

sfnetworks v0.4.1

  • Addition of an edge measure function edge_azimuth(), to calculate the azimuth (i.e. bearing) of edges. Refs #107
  • Addition of a to_spatial_transformed() morpher, to temporarily transform a sfnetwork into a different CRS.
  • Addition of a sfnetwork methods for linnet objects, to enhance interoperability between sfnetworks and the spatstat package for spatial point patterns on linear networks.
  • Addition of an Inf_as_NaN argument to the edge_circuity() function, to store circuity values of loop edges as NaN instead of Inf. The default value of this argument is TRUE.
  • Changes to st_network_paths():
    • Addition of a new argument type, which lets you set the type of paths calculation that should be performed.
    • To calculate all shortest paths between nodes, now set type = 'all_shortest' instead of all = TRUE. The latter argument is deprecated.
    • Besides shortest paths, there is now also the possibility to calculate all simple paths between nodes, by setting type = 'all_simple'. Be aware that computation time gets high when providing a lot of ‘to’ nodes, or when the network is large and dense. Refs #105
    • Whenever weights = NULL and there is no column named ‘weight’ in the edges table, geographic edge length will be calculated internally and used as weights in shortest path calculation. Before, paths would be calculated without edge weights in this case. Refs #106
    • Whenever the given ‘from’ and/or ‘to’ nodes contain NA values and/or empty point geometries, igraph behaviour is now replicated by throwing an error. Before, these values would simply be ignored.
  • Performance improvement of the to_spatial_smooth() morpher. As a result of this it does not store the original edge data anymore in a ‘.orig_data’ column. Instead, non-merged edges keep their attributes, while merged edges loose their attributes. The ‘.orig_data’ column can still be added by setting store_orig_data = TRUE, but this is not the default.
  • Bug fixes:
    • st_network_paths() now correctly handles cases where an unexisting column is passed to the weights argument, by throwing an error. Fixes #99
    • The sfnetwork method for sf::st_join() now correctly handles inner joins (i.e. joins where left = FALSE).
  • Addition of extra examples to the routing and spatial morphers vignettes.
  • Test coverage increased to +/- 86%.

sfnetworks v0.4.0 “Hiltrup”

  • Backward incompatible changes to existing functions:
    • Function st_shortest_paths() and st_all_shortest_paths() are now merged into a single function st_network_paths(). By default it call igraph::shortest_paths() internally. Setting all = TRUE will make it call igraph::all_shortest_paths() instead.
    • The output format of this st_network_paths() function is different from its predecessors. It returns a tibble instead of a list, to fit better in tidyverse workflows. See #77
    • The snap argument is removed from all shortest paths related functions, which will now always snap geospatial points provides as from or to locations to their nearest node on the network before calculating paths.
    • The keep argument is removed from the to_spatial_simple() morpher. It is now recommended to first sort data with dplyr::arrange() before calling the morpher.
    • The spatial morpher to_spatial_coordinates() is deprecated. Use the new node coordinate query functions instead.
    • The spatial morpher to_spatial_dense_graph() is deprecated. A new morpher to_spatial_subdivision(), with slightly different functionality, is added instead.
    • The spatial morpher to_spatial_implicit_edges() is deprecated. Use sf::st_set_geometry() instead, with activated edges and value NULL.
    • Functions st_network_distance(), edge_straight_length() and to_spatial_explicit_edges() are renamed to respectively st_network_cost(), edge_displacement() and to_spatial_explicit(), which either reflects their purpose better or fits better into the naming conventions within the package.
    • Function arguments that were named graph are renamed to x, to have more consistency across the package.
  • Backward compatible changes to existing functions:
    • The construction function sfnetwork() now has an argument length_as_weight that, if set to TRUE, will add the lengths of edges as a weight attribute to the edges data. Refs #65
    • There is now an as_sfnetwork() method for sfc objects. Refs #41
    • All existing st_network_* functions in sfnetwork are now generic, such that they can easily be modified by extensions of sfnetwork objects. Refs #80
    • The to_spatial_explicit_edges() morpher now accepts arguments that are forwarded directly to sf::st_as_sf(). Refs #83
    • Functions that split edges now give a warning that attributes are assumed to be constant. Refs #84
    • The edge_length() function can now also be applied to spatially implicit edges.
    • The sfnetwork methods for sf::st_as_sf(), sf::st_geometry() and sf::st_agr() now have an argument active to directly retrieve information from a network element without activating it. Use as st_as_sf(x, active = "nodes"), et cetera.
    • Character encoded node names can now be provided as from and to locations to the shortest path functions.
  • New functions:
    • The new function st_network_blend() implements a process that we called ‘blending points into a network’. The functions accepts a network and a set of points. For each point p in the set of given points, it finds the projection p* of p on the network, splits the edges of the network at the location of p*, and finally adds p* along with the attributes of p as a node to the network. Refs #27 and #54
    • The new function st_network_join() does a network specific join of two sfnetworks. It combines a spatial full join on the nodes data with a bind_rows operation on the edges data, and updates the from and to indices of the edges accordingly. Refs #22
    • The new function st_network_bbox() calculates the bounding box of the whole network by combining the bounding boxes of nodes and edges.
    • The new spatial morpher to_spatial_subdivision() subdivides edges at locations where an interior point is shared with either another interior point or endpoint of another edge. Refs #73
    • The new spatial morpher to_spatial_smooth() iteratively removes pseudo-nodes from the network. Refs #70
    • Several spatial predicate functions are implemented as node and edge query functions, to interpret spatial relations between network elements and other geospatial features directly inside tidy filter and mutate calls. Refs #60
    • Node coordinate query functions node_X(), node_Y(), node_Z() and node_M() are implemented to query specific coordinate values from the nodes.
    • There is now an ggplot2::autoplot() method for sfnetworks, allowing to easily plot a sfnetwork as a ggplot2 object. Refs #86
    • There is now a print method for morphed sfnetworks. Refs #88
    • There are now morphed sfnetworks method for sf::st_geometry<-(), sf::st_join(), sf::st_filter() and sf::st_crop(). Refs #85
  • Bug fixes:
    • Networks can now be constructed by only providing nodes, and no edges. Fixes #81
    • The print method for sfnetwork objects now correctly handles networks without edges as well as completely empty networks. Fixes #69 and #89
    • The shortest path functions now correctly handle empty geometries. Fixes #87
  • Documentation improvements:
    • Examples are added to the function documentations. Refs #45
    • The existing vignettes are reorganized, and combined with a lot of new information into five new vignettes. Refs #92
  • Together with the documentation improvements, several new units tests brought the test coverage to +/- 80%.
  • The internal code base is completely restructured, such that it is more performant and easier to read, debug and extend.

sfnetworks v0.3.1

  • Bug fixes:
  • Addition of a “node_key” argument to the construction functions, in line with the recent update of tidygraph. Refs #53
  • Better integration with Z and M coordinates by adding them as coordinate columns when calling spatial morpher to_spatial_coordinates(). Refs #62
  • Improved pkgdown structure. Refs #44
  • First implementation of continuous benchmarking. Refs #6

sfnetworks v0.3.0 “Gievenbeck”

  • Several spatial network extensions for the tidygraph and sf functionalities:
    • Spatial wrappers around igraph shortest paths functions. Refs #28
    • Various spatial morpher functions. Refs #19
    • Various edge measure algorithms, including edge circuity. Refs #51
  • More methods for as_sfnetwork(). Refs #41
  • Preserving sf attributes for nodes and edges inside the sfnetwork object. Refs #24
  • Structural and performance improvements of the code base. This includes:
    • Construction checks are run only when needed, adding a force argument to skip validity tests.
    • Allowing to choose between spatially explicit and implicit edges during construction, adding an edges_as_lines argument. Refs #47
    • Using st_boundary to find line endpoints increases performance for sfnetwork construction from sf objects. Refs #30
    • Cleaning up sf methods for sfnetwork objects.
    • Relying on internally stored attributes rather than first extracting sf objects.
    • Option to plot without making edges explicit.
  • Improved function documentation.
  • An additional vignette “Extensions” was included.

sfnetworks v0.2.0 “Neutor”

  • Major stable release
  • Basic construction function and initial foreign objects conversion. Refs #9
  • Methods for sf functions
  • Roxel data as lazyData
  • Internal checks before construction
  • ghactions for sf and pkgdown
  • Basic print and plot methods
  • First vignette
  • Code of conduct, contribution and license files

sfnetworks v0.1.0 “Altstadt”

  • Initial release