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zip__range_8hpp_source.html | 5 - 669 files changed, 2335 insertions(+), 8354 deletions(-) delete mode 100644 doxygen-awesome-darkmode-toggle.js delete mode 100644 doxygen-awesome-fragment-copy-button.js delete mode 100644 doxygen-awesome-sidebar-only-darkmode-toggle.css delete mode 100644 doxygen-awesome-sidebar-only.css delete mode 100644 doxygen-awesome.css rename spatial_graph_information.html => spatial_graphs_information.html (74%) diff --git a/Allele_8hpp_source.html b/Allele_8hpp_source.html index 21b81394..79b91259 100644 --- a/Allele_8hpp_source.html +++ b/Allele_8hpp_source.html @@ -26,11 +26,6 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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@@ -145,95 +140,105 @@
-
Embedding Vertex and/or Edge information
+
Embedding information along Vertices and Edges
-

Input

+

The focal point of the provided code snippet revolves around the process of constructing a spatial graph from raster data. This spatial graph serves as a powerful tool for visualizing and analyzing spatial relationships and patterns present within the underlying geographic data.

+

In addition to forming the basic structure of vertices and edges, the code snippet emphasizes the integration of supplementary information. By utilizing custom structures, developers can enrich vertices and edges with additional details specific to their application domain. For instance, vertices can be decorated with labels or population data, while edges can incorporate distance metrics or other spatial attributes.

+

This approach enables the creation of spatial graphs that not only capture the topological relationships between locations but also incorporate contextual information essential for comprehensive spatial analysis and modeling.

+

Input

1 #include "quetzal/geography.hpp"
2 
3 namespace geo = quetzal::geography;
4 
-
5 struct MyVertexInfo {
-
6  std::string label = "NA";
-
7  std::vector<double> pop_data_chunk;
-
8 };
-
9 
-
10 struct MyEdgeInfo {
-
11  double distance;
-
12  MyEdgeInfo() = default;
-
13  // required by from_grid
-
14  MyEdgeInfo(auto u, auto v, auto const& land){
-
15  distance = land.to_lonlat(u).great_circle_distance_to( land.to_lonlat(v) );
-
16  }
-
17 };
-
18 
-
19 int main()
-
20 {
-
21  auto file = std::filesystem::current_path() / "data/bio1.tif";
+
5 // User-defined data structure to store arbitrary vertex information
+
6 struct MyVertexInfo {
+
7  std::string population_label = "NA";
+
8  std::vector<double> population_data_chunk;
+
9  // ... anything else required by the user context
+
10 };
+
11 
+
12 // User-defined data structure to store arbitrary edge information
+
13 struct MyEdgeInfo {
+
14  mp_units::quantity<mp_units::si::metre> distance;
+
15  // needs to be default-constructible
+
16  MyEdgeInfo() = default;
+
17  // constructor required by from_grid method: takes a source and a target vertex descriptor, and a spatial grid
+
18  MyEdgeInfo(auto s, auto t, auto const& raster){
+
19  distance = raster.to_lonlat(s).great_circle_distance_to( raster.to_lonlat(t) );
+
20  }
+
21 };
22 
-
23  // The raster have 10 bands that we will assign to 2001 ... 2010.
-
24  std::vector<int> times(10);
-
25  std::iota(times.begin(), times.end(), 2001);
+
23 int main()
+
24 {
+
25  auto file = std::filesystem::current_path() / "data/bio1.tif";
26 
-
27  using landscape_type = geo::raster<>;
-
28  auto land = geo::raster<>::from_file(file, times);
- +
27  // The raster have 10 bands that we will assign to 2001 ... 2010.
+
28  std::vector<int> times(10);
+
29  std::iota(times.begin(), times.end(), 2001);
30 
-
31  std::cout << "Graph has " << graph.num_vertices() << " vertices, " << graph.num_edges() << " edges." << std::endl;
-
32 
-
33  for( auto const& e : graph.edges() ){
-
34  std::cout << graph.source(e) << " <-> " << graph.target(e) << " : " << graph[e].distance << std::endl;
-
35  }
-
36 
-
37 }
+
31  // Landscape construction
+
32  using landscape_type = geo::raster<>;
+
33  auto land = geo::raster<>::from_file(file, times);
+
34 
+
35  // Graph construction with vertex and edge info
+ +
37 
+
38  std::cout << "Graph has " << graph.num_vertices() << " vertices, " << graph.num_edges() << " edges." << std::endl;
+
39 
+
40  for( auto const& e : graph.edges() ){
+
41  std::cout << graph.source(e) << " <-> " << graph.target(e) << " : " << graph[e].distance << std::endl;
+
42  }
+
43 
+
44 }
Individuals can not escape the landscape's borders.
Definition: bound_policy.hpp:20
Discrete spatio-temporal variations of an environmental variable.
Definition: raster.hpp:38
static raster from_file(const std::filesystem::path &file, const std::vector< time_type > &times)
Read the raster from an input file in the geotiff format.
Definition: raster.hpp:117
-
Geospatial data formatting and processing.
Definition: coordinates.hpp:17
+
Geospatial data formatting and processing.
Definition: coordinates.hpp:22
graph()
Default constructor. Initializes a graph with 0 vertices.
Definition: graph.hpp:322
auto from_grid(SpatialGrid const &grid, VertexProperty const &v, EdgeProperty const &e, Vicinity const &vicinity, Directionality dir, Policy const &bounding_policy)
Spatial graph construction method.
Definition: from_grid.hpp:30
boost::undirectedS isotropy
Property of a process independent of the direction of movement.
Definition: directionality.hpp:18
-
Definition: geography_graph_7.cpp:10
-
Definition: geography_graph_7.cpp:5
+
Definition: geography_graph_7.cpp:13
+
Definition: geography_graph_7.cpp:6
Definition: vicinity.hpp:53

Output

1 Graph has 9 vertices, 36 edges.
-
2 1 <-> 0 : 361.01
-
3 2 <-> 0 : 721.623
-
4 2 <-> 1 : 361.01
-
5 3 <-> 0 : 555.975
-
6 3 <-> 1 : 672.626
-
7 3 <-> 2 : 939.038
-
8 4 <-> 0 : 672.626
-
9 4 <-> 1 : 555.975
-
10 4 <-> 2 : 672.626
-
11 4 <-> 3 : 396.487
-
12 5 <-> 0 : 939.038
-
13 5 <-> 1 : 672.626
-
14 5 <-> 2 : 555.975
-
15 5 <-> 3 : 792.603
-
16 5 <-> 4 : 396.487
-
17 6 <-> 0 : 1111.95
-
18 6 <-> 1 : 1179.86
-
19 6 <-> 2 : 1363.24
-
20 6 <-> 3 : 555.975
-
21 6 <-> 4 : 692.385
-
22 6 <-> 5 : 994.826
-
23 7 <-> 0 : 1179.86
-
24 7 <-> 1 : 1111.95
-
25 7 <-> 2 : 1179.86
-
26 7 <-> 3 : 692.385
-
27 7 <-> 4 : 555.975
-
28 7 <-> 5 : 692.385
-
29 7 <-> 6 : 428.949
-
30 8 <-> 0 : 1363.24
-
31 8 <-> 1 : 1179.86
-
32 8 <-> 2 : 1111.95
-
33 8 <-> 3 : 994.826
-
34 8 <-> 4 : 692.385
-
35 8 <-> 5 : 555.975
-
36 8 <-> 6 : 857.566
-
37 8 <-> 7 : 428.949
+
2 1 <-> 0 : 361010 m
+
3 2 <-> 0 : 721623 m
+
4 2 <-> 1 : 361010 m
+
5 3 <-> 0 : 555975 m
+
6 3 <-> 1 : 672626 m
+
7 3 <-> 2 : 939038 m
+
8 4 <-> 0 : 672626 m
+
9 4 <-> 1 : 555975 m
+
10 4 <-> 2 : 672626 m
+
11 4 <-> 3 : 396487 m
+
12 5 <-> 0 : 939038 m
+
13 5 <-> 1 : 672626 m
+
14 5 <-> 2 : 555975 m
+
15 5 <-> 3 : 792603 m
+
16 5 <-> 4 : 396487 m
+
17 6 <-> 0 : 1.11195e+06 m
+
18 6 <-> 1 : 1.17986e+06 m
+
19 6 <-> 2 : 1.36324e+06 m
+
20 6 <-> 3 : 555975 m
+
21 6 <-> 4 : 692385 m
+
22 6 <-> 5 : 994826 m
+
23 7 <-> 0 : 1.17986e+06 m
+
24 7 <-> 1 : 1.11195e+06 m
+
25 7 <-> 2 : 1.17986e+06 m
+
26 7 <-> 3 : 692385 m
+
27 7 <-> 4 : 555975 m
+
28 7 <-> 5 : 692385 m
+
29 7 <-> 6 : 428949 m
+
30 8 <-> 0 : 1.36324e+06 m
+
31 8 <-> 1 : 1.17986e+06 m
+
32 8 <-> 2 : 1.11195e+06 m
+
33 8 <-> 3 : 994826 m
+
34 8 <-> 4 : 692385 m
+
35 8 <-> 5 : 555975 m
+
36 8 <-> 6 : 857566 m
+
37 8 <-> 7 : 428949 m

@@ -241,6 +246,7 @@ diff --git a/structFixtureCases-members.html b/structFixtureCases-members.html index ca854cad..7b4dedea 100644 --- a/structFixtureCases-members.html +++ b/structFixtureCases-members.html @@ -26,11 +26,6 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -