spatial-analysis

For example:

https://github.com/pgRouting/pgrouting/blob/develop/include/drivers/allpairs/floydWarshall_driver.h#L34

From:

#ifdef __cplusplus
#   include <cstddef>
#else
#   include <stddef.h>
#endif

typedef struct Edge_t Edge_t;
typedef struct Matrix_cell_t Matrix_cell_t;

to:

/* for size-t */
#ifdef __cplusplus
#   include <cstddef>
#   include <cstdint>
us

https://earthenginepartners.appspot.com/science-2013-global-forest

Many of Freud's unit tests currently implement for loops to test various combinations of input parameters. For example, test_diffraction_DiffractionPattern.py currently includes:

for grid_size in (256, 1024):
    for output_size in (255, 256, 1023, 1024):
          for zoom in (1, 2.5, 4.123):

in the test for diffraction peaks in a simple cubic system.

With `@pytest.mark.paramet

mf_background() adds background images underneath maps:

library(mapsf)
#> Le chargement a nécessité le package : sf
#> Linking to GEOS 3.7.1, GDAL 3.1.2, PROJ 7.1.0
mtq <- mf_get_mtq()
th <- mf_theme("default", bg = "grey20", fg = "grey80")
mf_init(mtq, theme = th)
mf_background(system.file("img/background.jpg", package = "mapsf"))
mf_map(mtq, lwd = 2, col = NA, border = "grey80",

This step is often performed by users, but can be confusing. Create a "most common" path for importing in walk networks (perhaps from OSMnx) and support its conversion to peartree.